diff --git a/README.md b/README.md index cbf56a0a..6d032b41 100644 --- a/README.md +++ b/README.md @@ -62,7 +62,7 @@ pip install git+https://github.com/Autodesk/XLB.git The changelog for the releases can be found [here](https://github.com/Autodesk/XLB/blob/main/CHANGELOG.md). -For examples to get you started please refer to the [examples](https://github.com/Autodesk/XLB/tree/main/examples) folder. +For examples to get you started please refer to the [examples](https://github.com/Autodesk/XLB/tree/main/examples) folder. If you're new to XLB, start with the [tutorials](https://github.com/Autodesk/XLB/tree/main/examples/tutorials) subfolder: seven step-by-step Jupyter notebooks that build from a basic lid-driven cavity up through two-way coupled thermal-flow simulations, with explanatory markdown alongside the code. ## Accompanying Paper diff --git a/examples/cfd/data/cavity-ghia/ghia_Re_1000.json b/examples/cfd/data/cavity-ghia/ghia_Re_1000.json new file mode 100644 index 00000000..2649b47f --- /dev/null +++ b/examples/cfd/data/cavity-ghia/ghia_Re_1000.json @@ -0,0 +1,444 @@ +{ + "_comment": "Ghia-style lid-driven cavity benchmark, Re=1000. Source: AceNumerics (https://www.acenumerics.com/uploads/5/3/3/5/53352785/re_1000_driven_cavity_benchmark_results.pdf). centerline_u = u(x=0.5, y), centerline_v = v(x, y=0.5); vertical_velocity = v(x) at fixed y locations, horizontal_velocity = u(y) at fixed x locations.", + "reynolds": 1000, + "centerline_u": { + "y": [ + 1.0, + 0.99, + 0.98, + 0.9766, + 0.9688, + 0.9609, + 0.9531, + 0.8516, + 0.7344, + 0.6172, + 0.5, + 0.4531, + 0.2813, + 0.1719, + 0.1016, + 0.0703, + 0.0625, + 0.0547, + 0.04, + 0.03, + 0.02, + 0.01, + 0.0 + ], + "u": [ + 1.0, + 0.8489396, + 0.7070189, + 0.6644227, + 0.5808359, + 0.5169277, + 0.4723329, + 0.3372212, + 0.1886747, + 0.0570178, + -0.0620561, + -0.1081999, + -0.2803696, + -0.388569, + -0.3004561, + -0.2228955, + -0.20233, + -0.1812881, + -0.1396601, + -0.109087, + -0.0759628, + -0.0397486, + 0.0 + ] + }, + "centerline_v": { + "x": [ + 1.0, + 0.995, + 0.99, + 0.98, + 0.97, + 0.9688, + 0.9609, + 0.9531, + 0.9453, + 0.9063, + 0.8594, + 0.8047, + 0.68, + 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Source: AceNumerics (https://www.acenumerics.com/uploads/5/3/3/5/53352785/re_10000_driven_cavity_benchmark_results.pdf). centerline_u = u(x=0.5, y), centerline_v = v(x, y=0.5); vertical_velocity = v(x) at fixed y locations, horizontal_velocity = u(y) at fixed x locations.", + "reynolds": 10000, + "centerline_u": { + "y": [ + 1.0, + 0.99, + 0.98, + 0.9766, + 0.9688, + 0.9609, + 0.9531, + 0.8516, + 0.7344, + 0.6172, + 0.5, + 0.4531, + 0.2813, + 0.1719, + 0.1016, + 0.0703, + 0.0625, + 0.0547, + 0.04, + 0.03, + 0.02, + 0.01, + 0.0 + ], + "u": [ + 1.0, + 0.5982661, + 0.4930657, + 0.4924652, + 0.4992488, + 0.5008962, + 0.4960268, + 0.3486291, + 0.207412, + 0.0854519, + -0.0271995, + -0.0710427, + -0.2297588, + -0.3304422, + -0.3946475, + -0.4369345, + -0.4504339, + -0.458666, + -0.4352275, + -0.3790613, + -0.2976238, + -0.1911936, + 0.0 + ] + }, + "centerline_v": { + "x": [ + 1.0, + 0.995, + 0.99, + 0.98, + 0.97, + 0.9688, + 0.9609, + 0.9531, + 0.9453, + 0.9063, + 0.8594, + 0.8047, + 0.68, + 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Source: AceNumerics (https://www.acenumerics.com/uploads/5/3/3/5/53352785/re_12500_driven_cavity_benchmark_results.pdf). centerline_u = u(x=0.5, y), centerline_v = v(x, y=0.5); vertical_velocity = v(x) at fixed y locations, horizontal_velocity = u(y) at fixed x locations.", + "reynolds": 12500, + "centerline_u": { + "y": [ + 1.0, + 0.99, + 0.98, + 0.9766, + 0.9688, + 0.9609, + 0.9531, + 0.8516, + 0.7344, + 0.6172, + 0.5, + 0.4531, + 0.2813, + 0.1719, + 0.1016, + 0.0703, + 0.0625, + 0.0547, + 0.04, + 0.03, + 0.02, + 0.01, + 0.0 + ], + "u": [ + 1.0, + 0.5705772, + 0.4951889, + 0.4987893, + 0.5064499, + 0.5055278, + 0.4980469, + 0.3484439, + 0.2080197, + 0.0864309, + -0.0260732, + -0.0698757, + -0.2283351, + -0.3285197, + -0.3925083, + -0.4273239, + -0.4415334, + -0.4553459, + -0.4521561, + -0.4045948, + -0.3205906, + -0.2096708, + 0.0 + ] + }, + "centerline_v": { + "x": [ + 1.0, + 0.995, + 0.99, + 0.98, + 0.97, + 0.9688, + 0.9609, + 0.9531, + 0.9453, + 0.9063, + 0.8594, + 0.8047, + 0.68, 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Source: AceNumerics (https://www.acenumerics.com/uploads/5/3/3/5/53352785/re_20000_driven_cavity_benchmark_results.pdf). centerline_u = u(x=0.5, y), centerline_v = v(x, y=0.5); vertical_velocity = v(x) at fixed y locations, horizontal_velocity = u(y) at fixed x locations.", + "reynolds": 20000, + "centerline_u": { + "y": [ + 1.0, + 0.99, + 0.98, + 0.9766, + 0.9688, + 0.9609, + 0.9531, + 0.8516, + 0.7344, + 0.6172, + 0.5, + 0.4531, + 0.2813, + 0.1719, + 0.1016, + 0.0703, + 0.0625, + 0.0547, + 0.04, + 0.03, + 0.02, + 0.01, + 0.0 + ], + "u": [ + 1.0, + 0.5243411, + 0.5085197, + 0.5142423, + 0.5170956, + 0.509634, + 0.4975798, + 0.347816, + 0.2089737, + 0.0880775, + -0.0241863, + -0.0679313, + -0.2260104, + -0.3253634, + -0.3885131, + -0.4156922, + -0.4242428, + -0.4366904, + -0.4633802, + -0.4472206, + -0.3693825, + -0.2452651, + 0.0 + ] + }, + "centerline_v": { + "x": [ + 1.0, + 0.995, + 0.99, + 0.98, + 0.97, + 0.9688, + 0.9609, + 0.9531, + 0.9453, + 0.9063, + 0.8594, + 0.8047, + 0.68, + 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Source: AceNumerics (https://www.acenumerics.com/uploads/5/3/3/5/53352785/re_2500_driven_cavity_benchmark_results.pdf). centerline_u = u(x=0.5, y), centerline_v = v(x, y=0.5); vertical_velocity = v(x) at fixed y locations, horizontal_velocity = u(y) at fixed x locations.", + "reynolds": 2500, + "centerline_u": { + "y": [ + 1.0, + 0.99, + 0.98, + 0.9766, + 0.9688, + 0.9609, + 0.9531, + 0.8516, + 0.7344, + 0.6172, + 0.5, + 0.4531, + 0.2813, + 0.1719, + 0.1016, + 0.0703, + 0.0625, + 0.0547, + 0.04, + 0.03, + 0.02, + 0.01, + 0.0 + ], + "u": [ + 1.0, + 0.7717888, + 0.5943851, + 0.5532739, + 0.4923424, + 0.4644843, + 0.4543291, + 0.3481987, + 0.1998386, + 0.0743445, + -0.0403805, + -0.0849425, + -0.2472328, + -0.3545135, + -0.4274977, + -0.374203, + -0.3483073, + -0.3188175, + -0.2563321, + -0.2085355, + -0.1527752, + -0.0842063, + 0.0 + ] + }, + "centerline_v": { + "x": [ + 1.0, + 0.995, + 0.99, + 0.98, + 0.97, + 0.9688, + 0.9609, + 0.9531, + 0.9453, + 0.9063, + 0.8594, + 0.8047, + 0.68, + 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Source: AceNumerics (https://www.acenumerics.com/uploads/5/3/3/5/53352785/re_30000_driven_cavity_benchmark_results.pdf). centerline_u = u(x=0.5, y), centerline_v = v(x, y=0.5); vertical_velocity = v(x) at fixed y locations, horizontal_velocity = u(y) at fixed x locations.", + "reynolds": 30000, + "centerline_u": { + "y": [ + 1.0, + 0.99, + 0.98, + 0.9766, + 0.9688, + 0.9609, + 0.9531, + 0.8516, + 0.7344, + 0.6172, + 0.5, + 0.4531, + 0.2813, + 0.1719, + 0.1016, + 0.0703, + 0.0625, + 0.0547, + 0.04, + 0.03, + 0.02, + 0.01, + 0.0 + ], + "u": [ + 1.0, + 0.5040243, + 0.521141, + 0.5244189, + 0.5203636, + 0.5082342, + 0.494634, + 0.3470584, + 0.2095198, + 0.0891552, + -0.0229511, + -0.0666685, + -0.224573, + -0.3234545, + -0.3853543, + -0.4121978, + -0.4183563, + -0.4253201, + -0.4512031, + -0.4632948, + -0.4084634, + -0.271635, + 0.0 + ] + }, + "centerline_v": { + "x": [ + 1.0, + 0.995, + 0.99, + 0.98, + 0.97, + 0.9688, + 0.9609, + 0.9531, + 0.9453, + 0.9063, + 0.8594, + 0.8047, + 0.68, + 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Source: AceNumerics (https://www.acenumerics.com/uploads/5/3/3/5/53352785/re_7500_driven_cavity_benchmark_results.pdf). centerline_u = u(x=0.5, y), centerline_v = v(x, y=0.5); vertical_velocity = v(x) at fixed y locations, horizontal_velocity = u(y) at fixed x locations.", + "reynolds": 7500, + "centerline_u": { + "y": [ + 1.0, + 0.99, + 0.98, + 0.9766, + 0.9688, + 0.9609, + 0.9531, + 0.8516, + 0.7344, + 0.6172, + 0.5, + 0.4531, + 0.2813, + 0.1719, + 0.1016, + 0.0703, + 0.0625, + 0.0547, + 0.04, + 0.03, + 0.02, + 0.01, + 0.0 + ], + "u": [ + 1.0, + 0.6364047, + 0.4976118, + 0.4886269, + 0.489165, + 0.4925292, + 0.4907688, + 0.3487117, + 0.2064434, + 0.0839547, + -0.0289313, + -0.0728455, + -0.2319868, + -0.3334307, + -0.4001012, + -0.448097, + -0.4547739, + -0.4513198, + -0.4048553, + -0.3441453, + -0.2680608, + -0.1668463, + 0.0 + ] + }, + "centerline_v": { + "x": [ + 1.0, + 0.995, + 0.99, + 0.98, + 0.97, + 0.9688, + 0.9609, + 0.9531, + 0.9453, + 0.9063, + 0.8594, + 0.8047, + 0.68, + 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-0.1007424, + -0.2356477, + -9.45e-05, + 0.0154404, + 0.0171362, + 0.0157437, + 0.0136125, + 0.0082788, + 0.0045, + 0.0014212, + -0.0002775, + 0.0 + ], + "u_x0.95": [ + 1.0, + 0.5670046, + 0.3476822, + 0.2966226, + 0.2092727, + 0.1507747, + 0.1123222, + 0.0287614, + 0.0112762, + -0.014707, + -0.0687034, + -0.1080776, + -0.011862, + 0.0060529, + 0.0061549, + 0.0032884, + 0.0023599, + 0.0014298, + -0.0001277, + -0.0008679, + -0.0011915, + -0.0009536, + 0.0 + ] + } +} \ No newline at end of file diff --git a/examples/thermal/flow_past_sphere_thermal_3d.py b/examples/thermal/flow_past_sphere_thermal_3d.py new file mode 100644 index 00000000..9040d647 --- /dev/null +++ b/examples/thermal/flow_past_sphere_thermal_3d.py @@ -0,0 +1,328 @@ +""" +Flow past a cold sphere in 3D, with the temperature advected by the flow (passive scalar). + +This is the 3D counterpart of the tutorials/05_flow_past_square_thermal_2d.ipynb notebook, +combining the flow set-up of examples/cfd/flow_past_sphere_3d.py with a D3Q7 thermal +solver: warm fluid enters a channel at a parabolic inlet profile, meets a sphere held at a +fixed cold temperature, and carries a cold wake downstream. + +Two solvers, two independent stencils. The flow keeps the default D3Q19 (or D3Q27); the +scalar uses D3Q7, the minimal 3D stencil that recovers the advection-diffusion equation -- +see xlb/velocity_set/d3q7.py for why it has cs^2 = 1/4 rather than the 1/3 used everywhere +else in XLB, and why omega_from_diffusivity must be told that explicitly. + +The coupling is one-way and explicit: at every step the flow advances, the velocity is +recovered from its populations, and the thermal solver advances using that velocity. The +scalar exerts no force back on the flow; that is the Boussinesq stage +(examples/tutorials/06_buoyant_cavity.ipynb), not implemented here. + +Boundary condition choices, and why they matter +------------------------------------------------ +This case has an inlet AND an outlet, unlike a closed cavity, and getting the outlet and +the corner/edge assignment wrong is the single most common way to make this kind of +simulation diverge silently. Three rules, established and validated on the 2D version of +this exact case: + + 1. The outlet must use ScalarOutflowBC, not ScalarNeumannBC. Bounce-back + (ScalarNeumannBC) nulls the *total* normal flux, advective plus diffusive, which is + the right adiabatic condition at a no-slip wall (u = 0) but reflects the outgoing + scalar straight back into the domain wherever u . n != 0 -- exactly the situation at + an outlet. See bc_scalar_outflow.py for the full derivation and the exact-answer test + that demonstrates the difference (T staying at 1 vs. diverging to O(10-100)). + 2. Adiabatic walls must not own an edge/corner shared with the inlet or outlet. XLB + flags a lattice direction as missing wherever nothing streams in from outside the + domain; on the domain's end faces the streamwise direction is legitimately missing + for that reason. A wall that also owns that edge bounces the streamwise direction + back too, reflecting the domain's own through-flow. Walls are therefore built with + `remove_edges=True`; the inlet and outlet take the full face. + 3. The flow's ExtrapolationOutflowBC does not leave a physically meaningful macroscopic + velocity on the outlet face -- recovering u there gives a value close to zero + regardless of the real flow speed one cell upstream, because those populations are + extrapolation bookkeeping rather than a converged hydrodynamic state. The flow + solver never reads that value back, so it never mattered before; the scalar solver + does read it, and a near-zero velocity face looks to it like a stagnation wall + sitting across the exit. The velocity is repaired (copied from the interior + neighbour plane) before being handed to the thermal stepper. + +Run directly to execute a short simulation and write periodic VTK/PNG snapshots. +""" + +import numpy as np +import jax.numpy as jnp + +import xlb +import xlb.velocity_set +from xlb.compute_backend import ComputeBackend +from xlb.precision_policy import PrecisionPolicy +from xlb.grid import grid_factory +from xlb.helper import omega_from_diffusivity +from xlb.operator.stepper import IncompressibleNavierStokesStepper, ThermalStepper +from xlb.operator.boundary_condition import ( + HalfwayBounceBackBC, + RegularizedBC, + ExtrapolationOutflowBC, + ScalarDirichletBC, + ScalarOutflowBC, + ScalarNeumannBC, +) +from xlb.operator.macroscopic import Macroscopic, ZeroMoment +from xlb.operator.force.momentum_transfer import MomentumTransfer +from xlb.utils import save_fields_vtk, save_image + + +class FlowPastSphereThermal3D: + def __init__( + self, + reynolds, + peclet, + u_inlet, + grid_shape, + sphere_radius=None, + compute_backend=ComputeBackend.JAX, + precision_policy=PrecisionPolicy.FP64FP64, + ): + self.flow_velocity_set = xlb.velocity_set.D3Q19(precision_policy=precision_policy, compute_backend=compute_backend) + xlb.init( + velocity_set=self.flow_velocity_set, + default_backend=compute_backend, + default_precision_policy=precision_policy, + ) + + # The minimal 3D scalar stencil: seven velocities, cs^2 = 1/4 (not 1/3) + self.thermal_velocity_set = xlb.velocity_set.D3Q7(precision_policy=precision_policy, compute_backend=compute_backend) + + self.grid_shape = grid_shape + self.compute_backend = compute_backend + self.precision_policy = precision_policy + self.u_inlet = u_inlet + self.sphere_radius = sphere_radius or grid_shape[1] // 12 + self.sphere_center = (grid_shape[0] // 6, grid_shape[1] // 2, grid_shape[2] // 2) + + clength = 2.0 * self.sphere_radius + + # Reynolds number sets the momentum diffusivity, Peclet number the thermal one + viscosity = u_inlet * clength / reynolds + self.omega_flow = 1.0 / (3.0 * viscosity + 0.5) + + self.diffusivity = u_inlet * clength / peclet + # D3Q7 has cs^2 = 1/4: passing the velocity set (rather than relying on the + # default 1/3) is what keeps this correct on the minimal 3D scalar stencil. + self.omega_thermal = omega_from_diffusivity(self.diffusivity, cs2=self.thermal_velocity_set) + + print(f"Domain: {grid_shape}") + print(f"Sphere: radius={self.sphere_radius}, center={self.sphere_center}") + print(f"Re = {reynolds:g}, Pe = {peclet:g}, Pr = {viscosity / self.diffusivity:.3g}") + print(f"omega_flow = {self.omega_flow:.4f}, omega_thermal = {self.omega_thermal:.4f}") + + cell_peclet = u_inlet / self.diffusivity + print(f"Cell Peclet u*dx/alpha = {cell_peclet:.2f}", end="") + if cell_peclet > 2.0: + print(" (> ~2: expect some over/undershoot at the wake edges; this is a " + "resolution limit of the scheme, not a boundary-condition defect)") + else: + print(" (below the monotonicity limit)") + + self.grid = grid_factory(grid_shape, compute_backend=compute_backend) + self._setup() + + # ------------------------------------------------------------------ + # Geometry and boundary indices + # ------------------------------------------------------------------ + + def _sphere_indices(self): + cx, cy, cz = self.sphere_center + x = np.arange(self.grid_shape[0]) + y = np.arange(self.grid_shape[1]) + z = np.arange(self.grid_shape[2]) + X, Y, Z = np.meshgrid(x, y, z, indexing="ij") + mask = (X - cx) ** 2 + (Y - cy) ** 2 + (Z - cz) ** 2 < self.sphere_radius**2 + idx = np.where(mask) + return [tuple(idx[i].tolist()) for i in range(self.flow_velocity_set.d)] + + def define_flow_boundary_indices(self): + box = self.grid.bounding_box_indices() + box_no_edge = self.grid.bounding_box_indices(remove_edges=True) + inlet = box_no_edge["left"] + outlet = box_no_edge["right"] + walls = [box["bottom"][i] + box["top"][i] + box["front"][i] + box["back"][i] for i in range(self.flow_velocity_set.d)] + walls = np.unique(np.array(walls), axis=-1).tolist() + return inlet, outlet, walls + + def define_thermal_boundary_indices(self): + box = self.grid.bounding_box_indices() + box_no_edge = self.grid.bounding_box_indices(remove_edges=True) + + # Inlet and outlet take the FULL face (including its edges), and the adiabatic + # walls use remove_edges=True, so a wall never owns a node where the streamwise + # direction is the one legitimately missing (see module docstring, rule 2). + thermal_inlet = box["left"] + thermal_outlet = box["right"] + thermal_walls = [ + box_no_edge["bottom"][i] + box_no_edge["top"][i] + box_no_edge["front"][i] + box_no_edge["back"][i] + for i in range(self.thermal_velocity_set.d) + ] + thermal_walls = np.unique(np.array(thermal_walls), axis=-1).tolist() + return thermal_inlet, thermal_outlet, thermal_walls + + # ------------------------------------------------------------------ + # Steppers + # ------------------------------------------------------------------ + + def _inlet_profile(self): + ny, nz = self.grid_shape[1], self.grid_shape[2] + H_y = float(ny - 1) + H_z = float(nz - 1) + u_max = self.u_inlet + + def profile_jax(): + y = jnp.arange(ny) + z = jnp.arange(nz) + Y, Z = jnp.meshgrid(y, z, indexing="ij") + y_center = Y - H_y / 2.0 + z_center = Z - H_z / 2.0 + r_squared = (2.0 * y_center / H_y) ** 2 + (2.0 * z_center / H_z) ** 2 + u_x = u_max * jnp.maximum(0.0, 1.0 - r_squared) + return jnp.stack([u_x, jnp.zeros_like(u_x), jnp.zeros_like(u_x)]) + + return profile_jax + + def _setup(self): + inlet, outlet, walls = self.define_flow_boundary_indices() + self.sphere = self._sphere_indices() + + flow_bcs = [ + HalfwayBounceBackBC(indices=walls), + RegularizedBC("velocity", profile=self._inlet_profile(), indices=inlet), + ExtrapolationOutflowBC(indices=outlet), + HalfwayBounceBackBC(indices=self.sphere), + ] + self.bc_sphere = flow_bcs[-1] + self.flow_stepper = IncompressibleNavierStokesStepper( + grid=self.grid, + boundary_conditions=flow_bcs, + collision_type="BGK", + ) + self.f_0, self.f_1, self.bc_mask, self.missing_mask = self.flow_stepper.prepare_fields() + + thermal_inlet, thermal_outlet, thermal_walls = self.define_thermal_boundary_indices() + thermal_bcs = [ + ScalarNeumannBC(flux=0.0, indices=thermal_walls), + ScalarOutflowBC(indices=thermal_outlet), + ScalarDirichletBC(value=1.0, indices=thermal_inlet), + ScalarDirichletBC(value=0.0, indices=self.sphere), + ] + self.thermal_stepper = ThermalStepper( + grid=self.grid, + boundary_conditions=thermal_bcs, + velocity_set=self.thermal_velocity_set, + ) + + # The initial field must agree with the boundary conditions: the bulk starts at + # the inlet temperature, but the sphere's own nodes start at ITS Dirichlet value + # (0), or anti-bounce-back computes g = -g_pre[opp] on the very first step and + # gives exactly T = -1 on every sphere node, a spike that then advects downstream. + phi_init = np.ones((1, *self.grid_shape)) + phi_init[0, self.sphere[0], self.sphere[1], self.sphere[2]] = 0.0 + + self.g_0, self.g_1, self.bc_mask_thermal, self.missing_mask_thermal = self.thermal_stepper.prepare_fields(phi_init=phi_init) + self.u_thermal, self.source_thermal = self.thermal_stepper.prepare_aux_fields() + + self.macroscopic = Macroscopic( + compute_backend=self.compute_backend, + precision_policy=self.precision_policy, + velocity_set=self.flow_velocity_set, + ) + self.zero_moment = ZeroMoment( + velocity_set=self.thermal_velocity_set, + precision_policy=self.precision_policy, + compute_backend=self.compute_backend, + ) + self.momentum_transfer = MomentumTransfer(self.bc_sphere, compute_backend=self.compute_backend) + self.sphere_cross_section = np.pi * self.sphere_radius**2 + + # ------------------------------------------------------------------ + # Time stepping + # ------------------------------------------------------------------ + + def sanitize_outlet_velocity(self, u): + """Repair the velocity on the outlet face before handing it to the scalar solver. + + See the module docstring (rule 3): ExtrapolationOutflowBC leaves a macroscopic + velocity close to zero on its own face, which the flow solver never reads back but + which would otherwise look like a stagnation wall to the thermal solver. + """ + return u.at[:, -1, :, :].set(u[:, -2, :, :]) + + def drag_lift_coefficients(self): + force = self.momentum_transfer(self.f_0, self.f_1, self.bc_mask, self.missing_mask) + cd = 2.0 * force[0] / (self.u_inlet**2 * self.sphere_cross_section) + cl = 2.0 * force[2] / (self.u_inlet**2 * self.sphere_cross_section) + return float(cd), float(cl) + + def run(self, num_steps, post_process_interval=500): + for step in range(num_steps): + # 1. Advance the flow + self.f_0, self.f_1 = self.flow_stepper(self.f_0, self.f_1, self.bc_mask, self.missing_mask, self.omega_flow, step) + self.f_0, self.f_1 = self.f_1, self.f_0 + + # 2. Recover the velocity, repair the outlet face, hand it to the scalar + _, u_flow = self.macroscopic(self.f_0) + self.u_thermal = self.sanitize_outlet_velocity(jnp.asarray(u_flow)) + + # 3. Advance the scalar, advected by that velocity + self.g_0, self.g_1 = self.thermal_stepper( + self.g_0, self.g_1, self.u_thermal, self.source_thermal, + self.bc_mask_thermal, self.missing_mask_thermal, + self.omega_thermal, step, + ) + self.g_0, self.g_1 = self.g_1, self.g_0 + + if step % post_process_interval == 0 or step == num_steps - 1: + self.post_process(step) + + def fields(self): + rho, u = self.macroscopic(self.f_0) + temperature = self.zero_moment(self.g_0) + return np.asarray(rho)[0], np.asarray(u), np.asarray(temperature)[0] + + def post_process(self, step): + rho, u, temperature = self.fields() + u_magnitude = np.sqrt(u[0] ** 2 + u[1] ** 2 + u[2] ** 2) + cd, cl = self.drag_lift_coefficients() + + fields = { + "rho": rho, + "u_x": u[0], + "u_y": u[1], + "u_z": u[2], + "u_magnitude": u_magnitude, + "T": temperature, + } + save_fields_vtk(fields, timestep=step, prefix="flow_past_sphere_thermal_3d") + + # save_image only accepts 2D (or 3D-vector-over-2D) fields, so slice at the + # sphere's mid-plane rather than passing the full 3D volume + mid_z = self.grid_shape[2] // 2 + save_image(temperature[:, :, mid_z], timestep=step, prefix="flow_past_sphere_thermal_3d_T") + + print( + f"step {step:>7d} Cd={cd:8.4f} Cl={cl:8.4f} " + f"T in [{temperature.min():.4f}, {temperature.max():.4f}] u_max = {u_magnitude.max():.5f}" + ) + + +if __name__ == "__main__": + grid_shape = (192, 64, 64) + compute_backend = ComputeBackend.JAX + precision_policy = PrecisionPolicy.FP64FP64 + + simulation = FlowPastSphereThermal3D( + reynolds=300.0, + peclet=300.0, + u_inlet=0.04, + grid_shape=grid_shape, + compute_backend=compute_backend, + precision_policy=precision_policy, + ) + + simulation.run(num_steps=10000, post_process_interval=1000) diff --git a/examples/thermal/heat_conduction_2d.py b/examples/thermal/heat_conduction_2d.py new file mode 100644 index 00000000..b31a8bb4 --- /dev/null +++ b/examples/thermal/heat_conduction_2d.py @@ -0,0 +1,163 @@ +""" +Steady heat conduction in a 2D slab with internal heat generation. + +Solves the first stage of the thermal model, the pure heat equation + + rho * cp * dT/dt = k * laplacian(T) + q''' + +on a slab that is cooled on the top and bottom faces, insulated on the sides, and heated +uniformly throughout its volume. At steady state the temperature profile across the slab is +the classic parabola + + T(y) = T_wall + (q''' * L^2) / (2 * k) * (y / L) * (1 - y / L) + +which the example compares against the simulation. +""" + +import xlb +from xlb.compute_backend import ComputeBackend +from xlb.precision_policy import PrecisionPolicy +from xlb.grid import grid_factory +from xlb.helper import omega_from_diffusivity +from xlb.operator.stepper import ThermalStepper +from xlb.operator.boundary_condition import ScalarDirichletBC, ScalarNeumannBC +from xlb.operator.macroscopic import ZeroMoment +from xlb.utils import save_fields_vtk, save_image +import xlb.velocity_set +import matplotlib.pyplot as plt +import numpy as np + + +class HeatConduction2D: + def __init__(self, diffusivity, source, wall_temperature, grid_shape, velocity_set, compute_backend, precision_policy): + xlb.init( + velocity_set=velocity_set, + default_backend=compute_backend, + default_precision_policy=precision_policy, + ) + + self.grid_shape = grid_shape + self.velocity_set = velocity_set + self.compute_backend = compute_backend + self.precision_policy = precision_policy + self.wall_temperature = wall_temperature + self.source_value = source + + # The scalar relaxation rate follows from the lattice diffusivity alpha = k / (rho * cp) + self.omega = omega_from_diffusivity(diffusivity) + self.diffusivity = diffusivity + + self.grid = grid_factory(grid_shape, compute_backend=compute_backend) + + self._setup() + + def _setup(self): + self.setup_boundary_conditions() + self.setup_stepper() + + # The scalar populations and the boundary masks are owned by the thermal stepper + self.g_0, self.g_1, self.bc_mask, self.missing_mask = self.stepper.prepare_fields(phi_init=self.wall_temperature) + + # A zero velocity field reduces the transport equation to pure conduction + self.u, self.source = self.stepper.prepare_aux_fields() + self.source = self.source.at[0].set(self.source_value) + + def define_boundary_indices(self): + box = self.grid.bounding_box_indices() + box_no_edge = self.grid.bounding_box_indices(remove_edges=True) + cooled = [box["bottom"][i] + box["top"][i] for i in range(self.velocity_set.d)] + # The corner nodes are left to the cooled walls, so the side walls drop their edges + insulated = [box_no_edge["left"][i] + box_no_edge["right"][i] for i in range(self.velocity_set.d)] + return cooled, insulated + + def setup_boundary_conditions(self): + cooled, insulated = self.define_boundary_indices() + bc_cooled = ScalarDirichletBC(value=self.wall_temperature, indices=cooled) + bc_insulated = ScalarNeumannBC(flux=0.0, indices=insulated) + self.boundary_conditions = [bc_cooled, bc_insulated] + + def setup_stepper(self): + self.stepper = ThermalStepper( + grid=self.grid, + boundary_conditions=self.boundary_conditions, + ) + + def run(self, num_steps, post_process_interval=1000): + for i in range(num_steps): + self.g_0, self.g_1 = self.stepper(self.g_0, self.g_1, self.u, self.source, self.bc_mask, self.missing_mask, self.omega, i) + self.g_0, self.g_1 = self.g_1, self.g_0 + + if i % post_process_interval == 0 or i == num_steps - 1: + self.post_process(i) + + def temperature(self): + """Recover the temperature field as the zeroth moment of the scalar populations.""" + return np.asarray(ZeroMoment()(self.g_0))[0] + + def analytical_profile(self): + """Steady parabolic profile across the slab, evaluated at the cell centres.""" + ny = self.grid_shape[1] + # Halfway walls sit at y = 0 and y = ny, so cell j has its centre at j + 0.5 + y = (np.arange(ny) + 0.5) / ny + peak = self.source_value * ny**2 / (2.0 * self.diffusivity) + return self.wall_temperature + peak * y * (1.0 - y) + + def post_process(self, i): + temperature = self.temperature() + + save_fields_vtk({"T": temperature}, timestep=i, prefix="heat_conduction") + save_image(temperature, timestep=i, prefix="heat_conduction") + + # Compare the mid-slab profile against the analytical parabola. The mid-column is + # used because the corners of the domain mix the Dirichlet and Neumann walls. + profile = temperature[self.grid_shape[0] // 2] + expected = self.analytical_profile() + error = np.abs(profile - expected).max() / expected.max() + print(f"step {i:>7d} T_max = {profile.max():.6f} (analytical {expected.max():.6f}) rel. error = {error:.2e}") + + def plot_profile(self): + profile = self.temperature()[self.grid_shape[0] // 2] + y = (np.arange(self.grid_shape[1]) + 0.5) / self.grid_shape[1] + + plt.figure(figsize=(6, 4)) + plt.plot(y, self.analytical_profile(), "k-", label="analytical") + plt.plot(y, profile, "o", markerfacecolor="none", label="XLB") + plt.xlabel("y / L") + plt.ylabel("T") + plt.title("Steady conduction with uniform volumetric heating") + plt.legend() + plt.tight_layout() + plt.savefig("heat_conduction_profile.png", dpi=150) + print("wrote heat_conduction_profile.png") + + +if __name__ == "__main__": + grid_shape = (64, 64) + compute_backend = ComputeBackend.JAX + precision_policy = PrecisionPolicy.FP64FP64 + + # D2Q5 is the natural stencil for a scalar in 2D: it is cheaper than D2Q9 and the + # diagonal directions contribute nothing to isotropic diffusion at this order + velocity_set = xlb.velocity_set.D2Q5(precision_policy=precision_policy, compute_backend=compute_backend) + + # Lattice diffusivity alpha = k / (rho * cp). Values near 1/6 give omega = 1 and the + # best-conditioned relaxation; staying within [0.01, 0.5] keeps the scheme accurate. + diffusivity = 1.0 / 6.0 + + # Volumetric source in lattice units, i.e. q''' * dt / (rho * cp) per step + source = 1e-6 + + simulation = HeatConduction2D( + diffusivity=diffusivity, + source=source, + wall_temperature=0.0, + grid_shape=grid_shape, + velocity_set=velocity_set, + compute_backend=compute_backend, + precision_policy=precision_policy, + ) + + # Conduction relaxes on the diffusive timescale L^2 / alpha, so the slab needs a few + # tens of thousands of steps to reach steady state at this resolution + simulation.run(num_steps=60000, post_process_interval=10000) + simulation.plot_profile() diff --git a/examples/thermal/thermal_lid_driven_cavity_2d.py b/examples/thermal/thermal_lid_driven_cavity_2d.py new file mode 100644 index 00000000..88d19703 --- /dev/null +++ b/examples/thermal/thermal_lid_driven_cavity_2d.py @@ -0,0 +1,212 @@ +""" +Passive scalar transport in a lid-driven cavity. + +Solves the second stage of the thermal model, advection-diffusion of a passive scalar, + + rho * cp * (dT/dt + u . grad(T)) = k * laplacian(T) + q''' + +The flow is the standard lid-driven cavity: a moving top wall drives a recirculation inside +a closed box. The temperature is carried by that recirculation while being conducted between +a hot left wall and a cold right wall, with insulated top and bottom faces. + +The coupling is one-way and explicit. Each step the velocity is recovered from the flow +populations and handed to the thermal stepper, which owns a separate set of populations on +its own (D2Q5) stencil. The scalar exerts no force back on the flow; that is the Boussinesq +stage, which builds on this example. +""" + +import xlb +from xlb.compute_backend import ComputeBackend +from xlb.precision_policy import PrecisionPolicy +from xlb.grid import grid_factory +from xlb.helper import omega_from_diffusivity +from xlb.operator.stepper import IncompressibleNavierStokesStepper, ThermalStepper +from xlb.operator.boundary_condition import ( + HalfwayBounceBackBC, + EquilibriumBC, + ScalarDirichletBC, + ScalarNeumannBC, +) +from xlb.operator.macroscopic import Macroscopic, ZeroMoment +from xlb.utils import save_fields_vtk, save_image +import xlb.velocity_set +import matplotlib.pyplot as plt +import numpy as np + + +class ThermalLidDrivenCavity2D: + def __init__(self, reynolds, peclet, prescribed_vel, grid_shape, compute_backend, precision_policy): + self.flow_velocity_set = xlb.velocity_set.D2Q9(precision_policy=precision_policy, compute_backend=compute_backend) + + xlb.init( + velocity_set=self.flow_velocity_set, + default_backend=compute_backend, + default_precision_policy=precision_policy, + ) + + # A scalar in 2D needs only the five-velocity stencil + self.thermal_velocity_set = xlb.velocity_set.D2Q5(precision_policy=precision_policy, compute_backend=compute_backend) + + self.grid_shape = grid_shape + self.compute_backend = compute_backend + self.precision_policy = precision_policy + self.prescribed_vel = prescribed_vel + + clength = grid_shape[0] - 1 + + # Reynolds number sets the momentum diffusivity, Peclet number the thermal one + viscosity = prescribed_vel * clength / reynolds + self.omega = 1.0 / (3.0 * viscosity + 0.5) + + self.diffusivity = prescribed_vel * clength / peclet + self.omega_thermal = omega_from_diffusivity(self.diffusivity) + + print(f"Re = {reynolds:g}, Pe = {peclet:g}, Pr = {viscosity / self.diffusivity:.3g}") + print(f"omega_flow = {self.omega:.4f}, omega_thermal = {self.omega_thermal:.4f}") + + self.grid = grid_factory(grid_shape, compute_backend=compute_backend) + + self._setup() + + def _setup(self): + self.setup_stepper() + self.f_0, self.f_1, self.bc_mask, self.missing_mask = self.flow_stepper.prepare_fields() + + # The thermal stepper carries its own populations and its own boundary masks, so the + # thermal and flow boundary conditions are completely independent + self.g_0, self.g_1, self.bc_mask_thermal, self.missing_mask_thermal = self.thermal_stepper.prepare_fields(phi_init=0.0) + self.u, self.source = self.thermal_stepper.prepare_aux_fields() + + self.macroscopic = Macroscopic() + self.zero_moment = ZeroMoment( + velocity_set=self.thermal_velocity_set, + precision_policy=self.precision_policy, + compute_backend=self.compute_backend, + ) + + def define_boundary_indices(self): + box = self.grid.bounding_box_indices() + box_no_edge = self.grid.bounding_box_indices(remove_edges=True) + lid = box_no_edge["top"] + walls = [box["bottom"][i] + box["left"][i] + box["right"][i] for i in range(self.flow_velocity_set.d)] + walls = np.unique(np.array(walls), axis=-1).tolist() + return lid, walls + + def define_thermal_boundary_indices(self): + box = self.grid.bounding_box_indices() + box_no_edge = self.grid.bounding_box_indices(remove_edges=True) + hot = box["left"] + cold = box["right"] + # The corners are left to the hot and cold walls, so the insulated faces drop them + insulated = [box_no_edge["bottom"][i] + box_no_edge["top"][i] for i in range(self.thermal_velocity_set.d)] + return hot, cold, insulated + + def setup_stepper(self): + lid, walls = self.define_boundary_indices() + flow_bcs = [ + HalfwayBounceBackBC(indices=walls), + EquilibriumBC(rho=1.0, u=(self.prescribed_vel, 0.0), indices=lid), + ] + self.flow_stepper = IncompressibleNavierStokesStepper( + grid=self.grid, + boundary_conditions=flow_bcs, + collision_type="BGK", + ) + + hot, cold, insulated = self.define_thermal_boundary_indices() + thermal_bcs = [ + ScalarDirichletBC(value=1.0, indices=hot), + ScalarDirichletBC(value=0.0, indices=cold), + ScalarNeumannBC(flux=0.0, indices=insulated), + ] + self.thermal_stepper = ThermalStepper( + grid=self.grid, + boundary_conditions=thermal_bcs, + velocity_set=self.thermal_velocity_set, + ) + + def run(self, num_steps, post_process_interval=1000): + for i in range(num_steps): + # Advance the flow + self.f_0, self.f_1 = self.flow_stepper(self.f_0, self.f_1, self.bc_mask, self.missing_mask, self.omega, i) + self.f_0, self.f_1 = self.f_1, self.f_0 + + # Hand the freshly computed velocity to the scalar, then advance the scalar + _, self.u = self.macroscopic(self.f_0) + self.g_0, self.g_1 = self.thermal_stepper( + self.g_0, self.g_1, self.u, self.source, self.bc_mask_thermal, self.missing_mask_thermal, self.omega_thermal, i + ) + self.g_0, self.g_1 = self.g_1, self.g_0 + + if i % post_process_interval == 0 or i == num_steps - 1: + self.post_process(i) + + def fields(self): + rho, u = self.macroscopic(self.f_0) + temperature = self.zero_moment(self.g_0) + return np.asarray(rho)[0], np.asarray(u), np.asarray(temperature)[0] + + def post_process(self, i): + rho, u, temperature = self.fields() + u_magnitude = np.sqrt(u[0] ** 2 + u[1] ** 2) + + fields = {"rho": rho, "u_x": u[0], "u_y": u[1], "u_magnitude": u_magnitude, "T": temperature} + save_fields_vtk(fields, timestep=i, prefix="thermal_lid_driven_cavity") + save_image(temperature, timestep=i, prefix="thermal_lid_driven_cavity_T") + + # The wall-to-wall heat flow is the useful integral quantity. It is reported as a + # Nusselt number, i.e. the total flux normalized by the pure-conduction flux. + nusselt = self.nusselt_number(temperature) + print(f"step {i:>7d} T in [{temperature.min():.4f}, {temperature.max():.4f}] u_max = {u_magnitude.max():.5f} Nu = {nusselt:.4f}") + + def nusselt_number(self, temperature): + """Average Nusselt number on the hot wall, normalized by the conduction solution. + + The halfway wall sits half a cell outside the first fluid column, so the wall + gradient is estimated from that half-cell distance. + """ + nx = self.grid_shape[0] + wall_gradient = (1.0 - temperature[0]) / 0.5 + conduction_gradient = 1.0 / nx + return float(np.mean(wall_gradient) / conduction_gradient) + + def plot(self): + _, u, temperature = self.fields() + u_magnitude = np.sqrt(u[0] ** 2 + u[1] ** 2) + + fig, axes = plt.subplots(1, 2, figsize=(11, 4.5)) + + im = axes[0].imshow(temperature.T, origin="lower", cmap="RdBu_r", vmin=0.0, vmax=1.0) + axes[0].contour(temperature.T, levels=12, colors="k", linewidths=0.4) + axes[0].set_title("Temperature (hot left, cold right)") + fig.colorbar(im, ax=axes[0], label="T") + + im = axes[1].imshow(u_magnitude.T, origin="lower", cmap="viridis") + axes[1].set_title("Velocity magnitude") + fig.colorbar(im, ax=axes[1], label="|u|") + + for ax in axes: + ax.set_xlabel("x") + ax.set_ylabel("y") + + plt.tight_layout() + plt.savefig("thermal_lid_driven_cavity.png", dpi=150) + print("wrote thermal_lid_driven_cavity.png") + + +if __name__ == "__main__": + grid_shape = (128, 128) + compute_backend = ComputeBackend.JAX + precision_policy = PrecisionPolicy.FP32FP32 + + simulation = ThermalLidDrivenCavity2D( + reynolds=200.0, + peclet=200.0, + prescribed_vel=0.05, + grid_shape=grid_shape, + compute_backend=compute_backend, + precision_policy=precision_policy, + ) + + simulation.run(num_steps=20000, post_process_interval=4000) + simulation.plot() diff --git a/examples/tutorials/01_lid_driven_cavity_2d.ipynb b/examples/tutorials/01_lid_driven_cavity_2d.ipynb new file mode 100644 index 00000000..b8d129ea --- /dev/null +++ b/examples/tutorials/01_lid_driven_cavity_2d.ipynb @@ -0,0 +1,847 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "b5c446b7", + "metadata": {}, + "source": [ + "# Lid-Driven Cavity with XLB\n", + "\n", + "Welcome! This notebook walks you through simulating one of the most classic problems in computational fluid dynamics: the **lid-driven cavity**. We'll use [XLB](https://github.com/Autodesk/XLB), a lattice Boltzmann library, and explain each step along the way so you understand not just *what* the code does, but *why*.\n", + "\n", + "**The problem, in plain terms:** imagine a square box filled with fluid. The lid on top slides sideways at a constant speed, dragging the fluid underneath it along. The other three walls don't move. Friction between the moving lid and the fluid — and between the fluid and the stationary walls — sets up a swirling recirculation pattern inside the box. For instance, at Reynolds number = 1000, that swirl settles into a steady pattern with one large vortex in the center and smaller counter-rotating vortices tucked into the corners.\n", + "\n", + "**What we'll do, step by step:**\n", + "\n", + "1. Set up the library (choose the lattice model, backend, and numerical precision)\n", + "2. Build the computational grid\n", + "3. Translate physical parameters (Reynolds number, viscosity) into the numbers the lattice Boltzmann method actually uses\n", + "4. Tell the solver where the walls and the moving lid are\n", + "5. Assemble a \"stepper\" — the object that advances the simulation by one time step\n", + "6. Allocate the arrays that hold the simulation state\n", + "7. Run the simulation until the flow stops changing\n", + "8. Look at the results, and compare them against a well-known published benchmark" + ] + }, + { + "cell_type": "markdown", + "id": "7115cbf1", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "\n", + "Install XLB. We'll use the **JAX backend**, which is the easiest one to inspect and debug interactively from a notebook (you can print an array, plot it, poke at it — no special handling needed). XLB also supports Warp (great for a single GPU) and Neon (for multi-GPU or multi-resolution setups), and the same code you see here works with those too, with only minor changes." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "af2ee69c", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import os\n", + "from pathlib import Path\n", + "\n", + "import jax.numpy as jnp\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import xlb\n", + "import xlb.velocity_set\n", + "from xlb.compute_backend import ComputeBackend\n", + "from xlb.grid import grid_factory\n", + "from xlb.operator.boundary_condition import EquilibriumBC, HalfwayBounceBackBC\n", + "from xlb.operator.macroscopic import Macroscopic\n", + "from xlb.operator.stepper import IncompressibleNavierStokesStepper\n", + "from xlb.precision_policy import PrecisionPolicy\n", + "\n", + "# Directory for saved figures (no VTK output in this notebook)\n", + "FIG_DIR = Path(\"figures/lid_driven_cavity_2d\")\n", + "FIG_DIR.mkdir(parents=True, exist_ok=True)\n", + "\n", + "plt.rcParams.update({\"figure.figsize\": (6, 5), \"image.cmap\": \"RdYlBu_r\"})" + ] + }, + { + "cell_type": "markdown", + "id": "97c3f25a", + "metadata": {}, + "source": [ + "---\n", + "## Step 1 — Simulation parameters\n", + "\n", + "Before we touch any solver code, we need to decide on the **discretization** (how finely we chop up space) and the **physics** (how viscous the fluid is, how fast the lid moves).\n", + "\n", + "| Parameter | Role |\n", + "|-----------|------|\n", + "| `grid_shape` | Number of lattice nodes in x and y — how fine the grid is |\n", + "| `compute_backend` | JAX, Warp, or Neon — which engine actually runs the math |\n", + "| `precision_policy` | Whether numbers are stored/computed in single or double precision |\n", + "| `velocity_set` | The lattice model — **D2Q9** means 9 discrete velocity directions in 2D |\n", + "| `Re`, `prescribed_vel` | Reynolds number and lid speed — together they determine the fluid's viscosity |\n", + "| `omega` | The relaxation rate used internally by the lattice Boltzmann collision step; it's derived from viscosity |\n", + "\n", + "`Re` can be set to any value the simulation runs stably at, but the benchmark comparison at the end of this notebook only has reference data for `Re` in {1000, 2500, 5000, 7500, 10000, 12500, 20000, 25000, 30000} — the classic Ghia, Ghia & Shin (1982) cases. Pick one of those if you want that final comparison to work; otherwise the notebook runs fine but skips straight to \"no reference data for this Re.\n", + "\n", + "**Note**: as Re increases, the flow becomes more turbulent and harder to resolve. You may need to increase `grid_shape` to get a stable solution at higher Re.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a7ffb14a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Grid: 128 x 128\n", + "Velocity set: D2Q9 (9 populations per node)\n", + "Re: 1000.0\n", + "Lid speed: 0.04\n", + "Viscosity nu: 5.080000e-03\n", + "Relaxation omega: 1.940843\n" + ] + } + ], + "source": [ + "# --- corresponds to LidDrivenCavity2D.__init__ arguments ---\n", + "grid_shape = (128, 128)\n", + "compute_backend = ComputeBackend.JAX\n", + "precision_policy = PrecisionPolicy.FP64FP64\n", + "\n", + "velocity_set = xlb.velocity_set.D2Q9(\n", + " precision_policy=precision_policy,\n", + " compute_backend=compute_backend,\n", + ")\n", + "\n", + "Re = 1000.0\n", + "prescribed_vel = 0.04 # lid speed in lattice units\n", + "clength = grid_shape[0] - 1 # cavity length (between wall nodes)\n", + "visc = prescribed_vel * clength / Re\n", + "omega = 1.0 / (3.0 * visc + 0.5)\n", + "\n", + "print(f\"Grid: {grid_shape[0]} x {grid_shape[1]}\")\n", + "print(f\"Velocity set: D2Q9 ({velocity_set.q} populations per node)\")\n", + "print(f\"Re: {Re}\")\n", + "print(f\"Lid speed: {prescribed_vel}\")\n", + "print(f\"Viscosity nu: {visc:.6e}\")\n", + "print(f\"Relaxation omega: {omega:.6f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "45129e80", + "metadata": {}, + "source": [ + "---\n", + "## Step 2 — Initialize XLB (`xlb.init`)\n", + "\n", + "Before we create any grid or operator, we call `xlb.init(...)` once. Think of it as telling the library \"here's what I'll be working with by default\" — the lattice model, the backend, and the numerical precision. Any operator we build afterward will fall back to these defaults unless we explicitly override them.\n", + "\n", + "Every XLB script or notebook should call this once at startup, before anything else." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "22a092c1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No GPU support is available; CPU fallback will be used.\n" + ] + } + ], + "source": [ + "xlb.init(\n", + " velocity_set=velocity_set,\n", + " default_backend=compute_backend,\n", + " default_precision_policy=precision_policy,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "edbef55f", + "metadata": {}, + "source": [ + "---\n", + "## Step 3 — Create the grid (`grid_factory`)\n", + "\n", + "The **grid** is simply the container that holds all of our field arrays and knows the shape of the domain. It also gives us convenient helpers, like `bounding_box_indices()`, to find where the boundary nodes are without having to compute them by hand.\n", + "\n", + "On the JAX backend, population arrays (the core data structure of the lattice Boltzmann method) will have shape `(q, nx, ny)` — one 2D slice per lattice direction." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "eba2759e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Grid type: JaxGrid\n", + "Shape: (128, 128)\n" + ] + } + ], + "source": [ + "grid = grid_factory(grid_shape, compute_backend=compute_backend)\n", + "print(f\"Grid type: {type(grid).__name__}\")\n", + "print(f\"Shape: {grid.shape}\")" + ] + }, + { + "cell_type": "markdown", + "id": "e1e7b1ae", + "metadata": {}, + "source": [ + "---\n", + "## Step 4 — Boundary indices (`define_boundary_indices`)\n", + "\n", + "In XLB, boundary conditions aren't described with coordinates like \"x = 0\" — they're described as **lists of grid indices**. So our first job is to figure out exactly which grid nodes belong to the lid and which belong to the walls.\n", + "\n", + "- **Lid (top):** the interior of the top edge. We'll apply `EquilibriumBC` here, which pins the density to ρ = 1 and the velocity to **u = (U_lid, 0)** — i.e., it forces the fluid at that boundary to move exactly at the lid's speed.\n", + "- **Walls (bottom, left, right):** we'll apply `HalfwayBounceBackBC`, which enforces the no-slip condition (fluid velocity is zero right at a stationary wall).\n", + "\n", + "One subtlety: we use `bounding_box_indices(remove_edges=True)` for the lid so that the two top corners are excluded from it and treated as walls instead. Without this, a corner node would be claimed by both the lid and a wall, which doesn't make physical sense — a stationary corner can't also be moving with the lid." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ee63d32e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lid nodes: 126 points along the top edge\n", + "Wall nodes: 382 points on bottom/left/right\n" + ] + } + ], + "source": [ + "def define_boundary_indices(grid, velocity_set):\n", + " \"\"\"Same logic as LidDrivenCavity2D.define_boundary_indices.\"\"\"\n", + " box = grid.bounding_box_indices()\n", + " box_no_edge = grid.bounding_box_indices(remove_edges=True)\n", + " lid = box_no_edge[\"top\"]\n", + " walls = [box[\"bottom\"][i] + box[\"left\"][i] + box[\"right\"][i] for i in range(velocity_set.d)]\n", + " walls = np.unique(np.array(walls), axis=-1).tolist()\n", + " return lid, walls\n", + "\n", + "\n", + "lid_indices, wall_indices = define_boundary_indices(grid, velocity_set)\n", + "print(f\"Lid nodes: {len(lid_indices[0])} points along the top edge\")\n", + "print(f\"Wall nodes: {len(wall_indices[0])} points on bottom/left/right\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "5b02413d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize where BCs are applied\n", + "bc_map = np.zeros(grid_shape, dtype=int) # 0 = interior, 1 = wall, 2 = lid\n", + "for i in range(len(wall_indices[0])):\n", + " bc_map[wall_indices[0][i], wall_indices[1][i]] = 1\n", + "for i in range(len(lid_indices[0])):\n", + " bc_map[lid_indices[0][i], lid_indices[1][i]] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "im = ax.imshow(bc_map.T, origin=\"lower\", cmap=\"jet\", vmin=0, vmax=2)\n", + "ax.set_title(\"Boundary layout (blue=walls, orange=lid)\")\n", + "ax.set_xlabel(\"x\")\n", + "ax.set_ylabel(\"y\")\n", + "fig.colorbar(im, ax=ax, ticks=[0, 1, 2], label=\"region\")\n", + "fig.tight_layout()\n", + "fig.savefig(FIG_DIR / \"00_boundary_layout.png\", dpi=150)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "43386e00", + "metadata": {}, + "source": [ + "---\n", + "## Step 5 — Boundary condition objects (`setup_boundary_conditions`)\n", + "\n", + "Now we turn those index lists into actual boundary-condition **operators** — objects the solver will call at every time step.\n", + "\n", + "| BC | When applied | Effect |\n", + "|----|--------------|--------|\n", + "| `HalfwayBounceBackBC` | After streaming | No-slip wall: incoming populations get reflected back the way they came |\n", + "| `EquilibriumBC` | After streaming | Overwrites populations with the equilibrium distribution for the prescribed ρ and **u** — this is how we force the lid's velocity |\n", + "\n", + "We collect both into a single list. The stepper will loop over this list and apply each one, every single time step." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "0e6c3c3d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc HalfwayBounceBackBC_298317822 with id 1\n", + "WARNING! Assuming no-slip condition for BC type = HalfwayBounceBackBC!\n", + "registered bc EquilibriumBC_298297156 with id 2\n", + "[HalfwayBounceBackBC(), EquilibriumBC()]\n" + ] + } + ], + "source": [ + "bc_walls = HalfwayBounceBackBC(indices=wall_indices)\n", + "bc_top = EquilibriumBC(rho=1.0, u=(prescribed_vel, 0.0), indices=lid_indices)\n", + "boundary_conditions = [bc_walls, bc_top]\n", + "\n", + "print(boundary_conditions)" + ] + }, + { + "cell_type": "markdown", + "id": "b8aa7456", + "metadata": {}, + "source": [ + "---\n", + "## Step 6 — Build the stepper (`setup_stepper`)\n", + "\n", + "Here's where everything comes together. `IncompressibleNavierStokesStepper` bundles all the individual lattice Boltzmann operations into one object you can just call once per time step:\n", + "\n", + "```\n", + "pull scheme (default):\n", + " Stream(f_0)\n", + " → post-stream BCs (EquilibriumBC, BounceBack, …)\n", + " → Macroscopic: recover rho, u\n", + " → QuadraticEquilibrium: build f_eq\n", + " → BGK collision\n", + " → post-collision BCs + auxiliary assembly\n", + " → write f_1\n", + "```\n", + "\n", + "If you're new to lattice Boltzmann methods: \"streaming\" moves populations to neighboring nodes, and \"collision\" relaxes them toward local equilibrium. Repeating these two steps, over and over, is what produces fluid-like behavior — no need to solve the Navier-Stokes equations directly.\n", + "\n", + "You can also choose a different collision model at construction time (`\"BGK\"`, `\"KBC\"`, `\"SmagorinskyLESBGK\"`) — we'll stick with the simplest and most common one, standard **BGK**." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8adaeb19", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Streaming scheme: pull\n", + "Collision: BGK\n" + ] + } + ], + "source": [ + "stepper = IncompressibleNavierStokesStepper(\n", + " grid=grid,\n", + " boundary_conditions=boundary_conditions,\n", + " collision_type=\"BGK\",\n", + ")\n", + "print(f\"Streaming scheme: {stepper.streaming_scheme}\")\n", + "print(f\"Collision: {type(stepper.collision).__name__}\")" + ] + }, + { + "cell_type": "markdown", + "id": "9b799a87", + "metadata": {}, + "source": [ + "---\n", + "## Step 7 — Prepare fields (`prepare_fields`)\n", + "\n", + "`stepper.prepare_fields()` allocates everything the time loop needs:\n", + "\n", + "| Field | Shape (2D, JAX) | Purpose |\n", + "|-------|-----------------|--------|\n", + "| `f_0` | `(q, nx, ny)` | The current population distributions — this is the actual simulation state |\n", + "| `f_1` | `(q, nx, ny)` | A second buffer to write the next step into |\n", + "| `bc_mask` | `(1, nx, ny)` | Marks which boundary condition (if any) applies at each node |\n", + "| `missing_mask` | `(q, nx, ny)` | Marks which incoming directions are \"missing\" at boundary nodes (blocked by a wall) |\n", + "\n", + "Everything starts out at **uniform equilibrium**: density ρ = 1 everywhere, velocity **u** = 0 everywhere. That's just \"fluid at rest\" — the natural starting point before the lid starts moving it." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "ccfebad9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warp 1.16.0 initialized:\n", + " CUDA not enabled in this build\n", + " Devices:\n", + " \"cpu\" : \"arm\"\n", + " Kernel cache:\n", + " /Users/rivas/Library/Caches/warp/1.16.0\n", + "f_0 shape: (9, 128, 128)\n", + "f_1 shape: (9, 128, 128)\n", + "bc_mask shape: (1, 128, 128), dtype=uint8\n", + "missing_mask shape: (9, 128, 128), dtype=bool\n", + "Sum of f_0 (should ≈ rho * nx * ny): 16384.0\n" + ] + } + ], + "source": [ + "f_0, f_1, bc_mask, missing_mask = stepper.prepare_fields()\n", + "\n", + "print(f\"f_0 shape: {f_0.shape}\")\n", + "print(f\"f_1 shape: {f_1.shape}\")\n", + "print(f\"bc_mask shape: {bc_mask.shape}, dtype={bc_mask.dtype}\")\n", + "print(f\"missing_mask shape: {missing_mask.shape}, dtype={missing_mask.dtype}\")\n", + "print(f\"Sum of f_0 (should ≈ rho * nx * ny): {float(jnp.sum(f_0)):.1f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "b788cd37", + "metadata": {}, + "source": [ + "The following functions are used to extract the velocity and plot the velocity field." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "01b82ae2", + "metadata": {}, + "outputs": [], + "source": [ + "def recover_macroscopic(f, velocity_set, precision_policy):\n", + " \"\"\"Recover rho and u from populations using the Macroscopic operator.\"\"\"\n", + " macro = Macroscopic(\n", + " compute_backend=ComputeBackend.JAX,\n", + " precision_policy=precision_policy,\n", + " velocity_set=velocity_set,\n", + " )\n", + " return macro(f)\n", + "\n", + "\n", + "def plot_velocity_magnitude(f, title, save_path=None):\n", + " \"\"\"Recover velocity and plot |u| (interior nodes only).\"\"\"\n", + " _, u = recover_macroscopic(f, velocity_set, precision_policy)\n", + " u = u[:, 1:-1, 1:-1]\n", + " u_mag = jnp.sqrt(u[0] ** 2 + u[1] ** 2)\n", + "\n", + " fig, ax = plt.subplots()\n", + " im = ax.imshow(u_mag.T, origin=\"lower\")\n", + "\n", + " kin_energy = jnp.mean(u_mag**2)\n", + " ax.set_title(title + f\"\\nKinetic Energy Average: {float(kin_energy):.6e}\")\n", + " ax.set_xlabel(\"x\")\n", + " ax.set_ylabel(\"y\")\n", + " fig.colorbar(im, ax=ax, label=\"|u|\")\n", + " fig.tight_layout()\n", + " if save_path is not None:\n", + " fig.savefig(save_path, dpi=150)\n", + " plt.show()\n", + "\n", + " return u_mag" + ] + }, + { + "cell_type": "markdown", + "id": "a944723d", + "metadata": {}, + "source": [ + "---\n", + "## Step 8 — The time loop (`run`)\n", + "\n", + "Now the fun part: actually running the simulation. Each step is remarkably short:\n", + "\n", + "```python\n", + "f_0, f_1 = stepper(f_0, f_1, bc_mask, missing_mask, omega, i)\n", + "f_0, f_1 = f_1, f_0 # swap buffers\n", + "```\n", + "\n", + "That's it — call the stepper, swap the buffers, repeat. `omega` is the relaxation rate we computed back in Step 1 (constant here, but it could vary in space for a spatially-varying viscosity). The step index `i` is passed along too, in case a boundary condition depends on time — not needed for our steady lid problem, but the stepper always expects it.\n", + "\n", + "The one question we still need to answer: **how many steps is enough?** Rather than guessing a fixed number, we advance in blocks of `check_every` steps and, after each block, measure how much the velocity field changed compared to the previous block. Once that change drops below a small tolerance `tol`, we consider the flow to have reached steady state and stop (or we give up after `max_steps`, just in case). Along the way, we also save a snapshot of the velocity field so we can watch the flow develop.\n", + "\n", + "> **Note**: the num of steps are large to allow the flow to reach steady state. For a higher Reynolds number, the flow takes longer to reach steady state or may not reach steady state at all. You may need to increase `grid_shape` to get a stable solution at higher Re." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b94f3944", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Stopped after 240000 steps (relative change = 8.899e-05)\n" + ] + } + ], + "source": [ + "from IPython.display import clear_output as clc\n", + "\n", + "check_every = 10_000\n", + "max_steps = 400_000\n", + "tol = 1e-4\n", + "\n", + "_, u_prev = recover_macroscopic(f_0, velocity_set, precision_policy)\n", + "u_prev = np.asarray(u_prev)\n", + "\n", + "num_steps = 0\n", + "rel_change = np.inf\n", + "while num_steps < max_steps:\n", + " for _ in range(check_every):\n", + " f_0, f_1 = stepper(f_0, f_1, bc_mask, missing_mask, omega, num_steps)\n", + " f_0, f_1 = f_1, f_0\n", + " num_steps += 1\n", + " plot_velocity_magnitude(\n", + " f_0,\n", + " f\"Velocity step {num_steps}\",\n", + " FIG_DIR / f\"velocity_step_{num_steps:06d}.png\",\n", + " )\n", + "\n", + " _, u_curr = recover_macroscopic(f_0, velocity_set, precision_policy)\n", + " u_curr = np.asarray(u_curr)\n", + " rel_change = np.linalg.norm(u_curr - u_prev) / (np.linalg.norm(u_curr) + 1e-14)\n", + " u_prev = u_curr\n", + "\n", + " print(f\"Step {num_steps:6d}: relative change = {rel_change:.3e}\")\n", + " clc(wait=True)\n", + " plt.close()\n", + "\n", + " if rel_change < tol:\n", + " break\n", + "\n", + "print(f\"Stopped after {num_steps} steps (relative change = {rel_change:.3e})\")" + ] + }, + { + "cell_type": "markdown", + "id": "6eb2c47d", + "metadata": {}, + "source": [ + "---\n", + "## Step 9 — Post-processing (`post_process`)\n", + "\n", + "Now that the flow has settled, let's look at what actually happened.\n", + "\n", + "We'll use `Macroscopic` to convert the raw lattice populations back into density ρ and velocity **u** — the quantities you'd actually plot or report. We also trim off the outermost layer of boundary nodes before plotting, since those are constrained by boundary conditions rather than being \"real\" interior flow.\n", + "\n", + "> **Note:** if you switch to the Warp backend instead of JAX, arrays come with an extra trailing dimension. You'd need `warp_array_to_jax(f_0)[..., 0]` to squeeze it out before running the same post-processing code." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0f5f7977", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Max |u|: 0.0379\n", + "Figures saved under: /Users/rivas/Github/XLB/examples/tutorials/figures/lid_driven_cavity_2d\n" + ] + } + ], + "source": [ + "rho, u = recover_macroscopic(f_0, velocity_set, precision_policy)\n", + "\n", + "# Remove boundary nodes (same as the script)\n", + "rho_int = rho[:, 1:-1, 1:-1]\n", + "u_int = u[:, 1:-1, 1:-1]\n", + "u_mag = jnp.sqrt(u_int[0] ** 2 + u_int[1] ** 2)\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "for ax, data, label in zip(\n", + " axes,\n", + " [u_int[0], u_int[1], u_mag],\n", + " [\"u_x\", \"u_y\", \"|u|\"],\n", + "):\n", + " im = ax.imshow(data.T, origin=\"lower\")\n", + " ax.set_title(label)\n", + " ax.set_xlabel(\"x\")\n", + " ax.set_ylabel(\"y\")\n", + " fig.colorbar(im, ax=ax)\n", + " ax.set_xlim(0, grid_shape[0] - 2)\n", + " ax.set_ylim(0, grid_shape[1] - 2)\n", + "\n", + "# Overlay streamlines on the |u| panel to show the recirculation pattern\n", + "nx_int, ny_int = u_int.shape[1], u_int.shape[2]\n", + "axes[2].streamplot(\n", + " np.arange(nx_int),\n", + " np.arange(ny_int),\n", + " np.asarray(u_int[0]).T,\n", + " np.asarray(u_int[1]).T,\n", + " color=\"k\",\n", + " density=1.0,\n", + " linewidth=0.5,\n", + ")\n", + "\n", + "fig.suptitle(f\"Final fields at step {num_steps} (Re={Re})\")\n", + "fig.tight_layout()\n", + "fig.savefig(FIG_DIR / \"final_velocity_components.png\", dpi=150)\n", + "plt.show()\n", + "\n", + "print(f\"Max |u|: {float(jnp.max(u_mag)):.4f}\")\n", + "print(f\"Figures saved under: {FIG_DIR.resolve()}\")" + ] + }, + { + "cell_type": "markdown", + "id": "f8eb5b8e", + "metadata": {}, + "source": [ + "---\n", + "## Comparing against a published benchmark\n", + "\n", + "A simulation is only useful if you can trust it, so let's check our results against real published data. Ghia, Ghia & Shin (1982) is the classic reference for this exact problem — they tabulated velocity profiles along the vertical and horizontal centerlines of the cavity for several Reynolds numbers. This notebook ships pre-converted reference data for `Re` in {1000, 2500, 5000, 7500, 10000, 12500, 20000, 25000, 30000}; if you ran with a different `Re`, the cells below will tell you and skip the comparison rather than failing.\n", + "\n", + "Rather than typing that table in by hand, we load it from a JSON file extracted directly from the original tables (see this [Github repository](https://github.com/Steriva/extract-ghia)). If the velocity profile our simulation produces lines up with these points, that's strong evidence our setup — boundary conditions, grid resolution, viscosity — is correct.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "d8474960", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Ghia benchmark data, converted to JSON by extract-ghia (see markdown cell above)\n", + "BENCH_DIR = Path(\"../cfd/data/cavity-ghia\")\n", + "AVAILABLE_RE = sorted(int(p.stem.removeprefix(\"ghia_Re_\")) for p in BENCH_DIR.glob(\"ghia_Re_*.json\"))\n", + "\n", + "bench_path = BENCH_DIR / f\"ghia_Re_{int(Re)}.json\"\n", + "if bench_path.exists():\n", + " with open(bench_path) as f:\n", + " ghia = json.load(f)\n", + "else:\n", + " ghia = None\n", + " print(f\"No Ghia reference data for Re={Re:g}; available values are {AVAILABLE_RE}.\")\n", + " print(\"Skipping the benchmark comparison below.\")\n", + "\n", + "x = np.linspace(0, 1, grid_shape[0]) # interior nodes only\n", + "y = np.linspace(0, 1, grid_shape[1]) # interior nodes only\n", + "\n", + "ux = u_int[0]\n", + "uy = u_int[1]\n", + "\n", + "if ghia is not None:\n", + " # v(x, y) at 5 fixed y locations (vertical_velocity table), Ghia-style \"v at y=...\"\n", + " vert_vel = ghia[\"vertical_velocity\"]\n", + " ycols = [0.05, 0.10, 0.50, 0.90, 0.99]\n", + " vcols = [\"v_y0.05\", \"v_y0.10\", \"v_y0.50\", \"v_y0.90\", \"v_y0.99\"]\n", + "\n", + " fig, axs = plt.subplots(len(ycols), 1, figsize=(8, 3 * len(ycols)), sharey=True, sharex=True)\n", + "\n", + " for ii, (_y, col) in enumerate(zip(ycols, vcols)):\n", + " bench_x = np.array(vert_vel[\"x\"])\n", + " bench_uy = np.array(vert_vel[col])\n", + "\n", + " # Find the index of the closest y value in the grid\n", + " y_idx = np.argmin(np.abs(y[1:-1] - _y))\n", + " computed_uy = np.concatenate([[0], uy[:, y_idx], [0]]) # add zero at boundaries for plotting\n", + "\n", + " ax = axs[ii]\n", + " ax.plot(x, (computed_uy - min(computed_uy)) / (max(computed_uy) - min(computed_uy)), label=\"XLB\", color=\"blue\")\n", + " ax.plot(bench_x, (bench_uy - min(bench_uy)) / (max(bench_uy) - min(bench_uy)), \"o\", label=\"Ghia et al. 1982\", color=\"orange\")\n", + " ax.set_ylabel(f\"v at y={_y}\")\n", + " ax.legend()\n", + " ax.grid()\n", + " fig.suptitle(\"Vertical velocity profiles v(x) at fixed y\")\n", + " fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "032656f7", + "metadata": {}, + "source": [ + "The JSON file also has a `horizontal_velocity` table — the mirror image of the one above, giving u(y) at 5 fixed x locations — and centerline tables (`centerline_u` = u along x=0.5, `centerline_v` = v along y=0.5). Let's check those too." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "a7a4cc73", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if ghia is not None:\n", + " # u(x, y) at 5 fixed x locations (horizontal_velocity table), Ghia-style \"u at x=...\"\n", + " horiz_vel = ghia[\"horizontal_velocity\"]\n", + " xcols = [0.05, 0.10, 0.50, 0.90, 0.95]\n", + " ucols = [\"u_x0.05\", \"u_x0.10\", \"u_x0.50\", \"u_x0.90\", \"u_x0.95\"]\n", + "\n", + " fig, axs = plt.subplots(len(xcols), 1, figsize=(8, 3 * len(xcols)), sharey=True, sharex=True)\n", + "\n", + " for ii, (_x, col) in enumerate(zip(xcols, ucols)):\n", + " bench_y = np.array(horiz_vel[\"y\"])\n", + " bench_ux = np.array(horiz_vel[col])\n", + "\n", + " # Find the index of the closest x value in the grid\n", + " x_idx = np.argmin(np.abs(x[1:-1] - _x))\n", + " computed_ux = np.concatenate([[0], ux[x_idx, :], [prescribed_vel]]) # wall at y=0, lid at y=1\n", + "\n", + " ax = axs[ii]\n", + " ax.plot(y, (computed_ux - min(computed_ux)) / (max(computed_ux) - min(computed_ux)), label=\"XLB\", color=\"blue\")\n", + " ax.plot(bench_y, (bench_ux - min(bench_ux)) / (max(bench_ux) - min(bench_ux)), \"o\", label=\"Ghia et al. 1982\", color=\"orange\")\n", + " ax.set_ylabel(f\"u at x={_x}\")\n", + " ax.legend()\n", + " ax.grid()\n", + " fig.suptitle(\"Horizontal velocity profiles u(y) at fixed x\")\n", + " fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "d4cec557", + "metadata": {}, + "source": [ + "Finally, the classic Ghia et al. figure: velocity along the two centerlines of the cavity — u(x=0.5, y) and v(x, y=0.5). The benchmark tables report velocity normalized by the lid speed U_lid, so we divide our computed velocities by `prescribed_vel` to put them on the same scale (unlike the profile plots above, this is a physical rescaling, not a min-max normalization)." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "ab2dc963", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if ghia is not None:\n", + " centerline_u = ghia[\"centerline_u\"] # u(x=0.5, y)\n", + " centerline_v = ghia[\"centerline_v\"] # v(x, y=0.5)\n", + "\n", + " x_mid_idx = np.argmin(np.abs(x[1:-1] - 0.5))\n", + " y_mid_idx = np.argmin(np.abs(y[1:-1] - 0.5))\n", + "\n", + " computed_u_centerline = np.concatenate([[0], ux[x_mid_idx, :], [prescribed_vel]])\n", + " computed_v_centerline = np.concatenate([[0], uy[:, y_mid_idx], [0]])\n", + "\n", + " fig, axs = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + " axs[0].plot(computed_u_centerline / prescribed_vel, y, label=\"XLB\", color=\"blue\")\n", + " axs[0].plot(np.array(centerline_u[\"u\"]), centerline_u[\"y\"], \"o\", label=\"Ghia et al. 1982\", color=\"orange\")\n", + " axs[0].set_xlabel(\"u / U_lid\")\n", + " axs[0].set_ylabel(\"y\")\n", + " axs[0].set_title(\"u(x=0.5, y)\")\n", + " axs[0].legend()\n", + " axs[0].grid()\n", + "\n", + " axs[1].plot(x, computed_v_centerline / prescribed_vel, label=\"XLB\", color=\"blue\")\n", + " axs[1].plot(centerline_v[\"x\"], np.array(centerline_v[\"v\"]), \"o\", label=\"Ghia et al. 1982\", color=\"orange\")\n", + " axs[1].set_xlabel(\"x\")\n", + " axs[1].set_ylabel(\"v / U_lid\")\n", + " axs[1].set_title(\"v(x, y=0.5)\")\n", + " axs[1].legend()\n", + " axs[1].grid()\n", + "\n", + " fig.tight_layout()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "XLB (3.12.13)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/02_heat_conduction.ipynb b/examples/tutorials/02_heat_conduction.ipynb new file mode 100644 index 00000000..ee4af1b6 --- /dev/null +++ b/examples/tutorials/02_heat_conduction.ipynb @@ -0,0 +1,1058 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "324e812b", + "metadata": {}, + "source": [ + "# Heat Conduction with XLB\n", + "\n", + "This notebook is an introduction to **scalar transport** in [XLB](https://github.com/Autodesk/XLB).\n", + "We start from the simplest possible case: heat conduction with no fluid motion at all.\n", + "\n", + "**The problem, in plain terms:** imagine a solid slab. We hold its top and bottom faces at a\n", + "fixed cold temperature, insulate its sides so no heat escapes there, and then heat the whole\n", + "slab from within — think of electrical resistance heating, or a nuclear fuel element producing\n", + "heat by fission. Heat piles up in the middle and flows outward to the cold faces. After a\n", + "while nothing changes any more, and we are left with a steady temperature profile that is\n", + "hottest at the centre.\n", + "\n", + "The equation we are solving is the **heat equation with a source**,\n", + "\n", + "$$\\rho c_p \\frac{\\partial T}{\\partial t} = k \\Delta T + q''',$$\n", + "\n", + "where $\\rho$ is density, $c_p$ specific heat, $k$ thermal conductivity, and $q'''$ the\n", + "volumetric heat generation rate. Dividing through by $\\rho c_p$ gives the form the solver\n", + "actually works with,\n", + "\n", + "$$\\frac{\\partial T}{\\partial t} = \\alpha \\Delta T + S, \\qquad\n", + "\\alpha = \\frac{k}{\\rho c_p}, \\qquad S = \\frac{q'''}{\\rho c_p},$$\n", + "\n", + "with $\\alpha$ the **thermal diffusivity**.\n", + "\n", + "**What makes this different from the fluid tutorials.** The lid-driven cavity notebook solves\n", + "the Navier-Stokes equations, where the unknowns are density and velocity. Here the unknown is\n", + "a single number per point — the temperature. In lattice Boltzmann language that means we need\n", + "a **second, separate set of populations**, conventionally called $g_i$, that lives alongside\n", + "(or entirely without) the flow populations $f_i$. Everything in this notebook is about those\n", + "$g_i$." + ] + }, + { + "cell_type": "markdown", + "id": "231f01ec", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "\n", + "Install XLB. As in the other tutorials we use the **JAX backend**, which is the most\n", + "convenient one to work with interactively: the population arrays are ordinary JAX arrays that\n", + "you can print, slice, and plot directly. The same code runs on the Warp backend with only a\n", + "change to `compute_backend`." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "22a443c1", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:30.316244Z", + "iopub.status.busy": "2026-09-02T13:32:30.316121Z", + "iopub.status.idle": "2026-09-02T13:32:31.535165Z", + "shell.execute_reply": "2026-09-02T13:32:31.534766Z" + } + }, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import xlb\n", + "import xlb.velocity_set\n", + "from xlb.compute_backend import ComputeBackend\n", + "from xlb.grid import grid_factory\n", + "from xlb.helper import omega_from_diffusivity, diffusivity_from_omega\n", + "from xlb.operator.boundary_condition import ScalarDirichletBC, ScalarNeumannBC\n", + "from xlb.operator.macroscopic import ZeroMoment\n", + "from xlb.operator.stepper import ThermalStepper\n", + "from xlb.precision_policy import PrecisionPolicy\n", + "\n", + "FIG_DIR = Path(\"figures/heat_equation_2d\")\n", + "FIG_DIR.mkdir(parents=True, exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "id": "72caf35f", + "metadata": {}, + "source": [ + "---\n", + "## Step 1 — How a lattice Boltzmann scheme carries a scalar\n", + "\n", + "It is worth understanding the model before writing any code, because it explains almost every\n", + "API choice that follows.\n", + "\n", + "The flow solver stores populations $f_i$ whose **zeroth moment** is the density and whose\n", + "**first moment** is the momentum. For a scalar we need far less: the temperature is just the\n", + "zeroth moment,\n", + "\n", + "$$T = \\sum_i g_i .$$\n", + "\n", + "The populations relax towards an equilibrium in exactly the same BGK fashion as the flow,\n", + "\n", + "$$g_i(\\mathbf{x} + \\mathbf{c}_i, t+1) = g_i(\\mathbf{x}, t)\n", + "- \\omega \\left[ g_i(\\mathbf{x},t) - g_i^{\\rm eq}(\\mathbf{x},t) \\right] + w_i S,$$\n", + "\n", + "where the last term is the **volumetric source**. Here $S$ is the macroscopic source in the\n", + "continuum equation — for the heat equation, the heating rate per unit mass divided by $\\rho c_p$,\n", + "\n", + "$$S = \\frac{q'''}{\\rho c_p},$$\n", + "\n", + "with $q'''$ the volumetric heat generation rate ($W/m^3$). In lattice units the field passed to\n", + "`ScalarSource` is the temperature increment per time step, $S_{\\rm lattice} = q''' \\Delta t /\n", + "(\\rho c_p)$. The factor $w_i$ distributes that source across the populations while keeping the\n", + "zeroth moment exact: $\\sum_i w_i S = S$ because the weights sum to one. In XLB this is the\n", + "`ScalarSource` operator (`g_i ← g_i + w_i S`).\n", + "\n", + "The equilibrium is **linear** in the velocity rather than quadratic:\n", + "\n", + "$$g_i^{\\rm eq} = w_i \\, T \\left( 1 + 3\\, \\mathbf{c}_i \\cdot \\mathbf{u} \\right).$$\n", + "\n", + "Compare this with the flow equilibrium, which carries an extra\n", + "$\\tfrac{9}{2}(\\mathbf{c}_i\\cdot\\mathbf{u})^2 - \\tfrac{3}{2}u^2$. Those quadratic terms exist to\n", + "recover the nonlinear advection term of Navier-Stokes. A passive scalar has no such term, so\n", + "they are not merely unnecessary — dropping them makes the scheme *exactly* right for\n", + "advection-diffusion. In XLB this is the `LinearEquilibrium` operator, as opposed to the\n", + "`QuadraticEquilibrium` used by the flow.\n", + "\n", + "In this first notebook we set $\\mathbf{u} = 0$, so the equilibrium is simply $g_i^{\\rm eq} = w_i T$.\n", + "\n", + "### Two consequences worth remembering\n", + "\n", + "**A smaller stencil is enough.** The flow needs D2Q9 in 2D. A scalar needs only **D2Q5** — the\n", + "rest velocity plus the four axis directions. The diagonal links contribute nothing to\n", + "isotropic diffusion at this order, so D2Q5 gives the same accuracy for roughly half the memory\n", + "and work. XLB ships a `D2Q5` velocity set for precisely this purpose.\n", + "\n", + "**Relaxation rate sets the diffusivity.** Just as $\\omega$ encodes viscosity for the flow, it\n", + "encodes diffusivity for the scalar — but with a different formula, because the scalar has no\n", + "quadratic terms:\n", + "\n", + "$$\\alpha = \\frac{1}{3}\\left(\\frac{1}{\\omega} - \\frac{1}{2}\\right)\n", + "\\qquad \\Longleftrightarrow \\qquad\n", + "\\omega = \\frac{1}{3\\alpha + 1/2}.$$\n", + "\n", + "You rarely want to work that out by hand, so XLB provides `omega_from_diffusivity` and its\n", + "inverse `diffusivity_from_omega`.\n", + "\n", + "### References — LBM for thermal and passive-scalar transport\n", + "\n", + "The formulation above — a separate population set $g_i$, a linear equilibrium, BGK collision,\n", + "and source terms added after collision — is standard in the LBM heat-transfer literature. Useful\n", + "entry points:\n", + "\n", + "1. **Krüger, Kusumaatmaja, Kuzmin, Shardt, Silva & Viggen**, *The Lattice Boltzmann Method:\n", + " Principles and Practice* (Springer, 2017). Ch. 7 covers passive scalars and coupled\n", + " flow–thermal problems; the Boussinesq approximation is discussed in the multiphysics context.\n", + "2. **Mohamad**, *Lattice Boltzmann Method: Fundamentals and Engineering Applications with\n", + " Computer Codes* (Springer, 2011). Ch. 6–7 treat heat conduction, convection, and boundary\n", + " conditions for temperature.\n", + "3. **Guo, Zheng & Shi**, \"Discrete lattice effects on the forcing term in the lattice Boltzmann\n", + " model for convection-diffusion equations\", *Computers & Mathematics with Applications* **43**,\n", + " 201–209 (2002). Source-term consistency and the relation between lattice forcing and the\n", + " continuum $q'''$ term.\n", + "4. **He & Luo**, \"A priori derivation of the lattice Boltzmann equation\", *Phys. Rev. E* **55**,\n", + " R6333 (1997). Chapman–Enskog analysis underlying the $\\omega \\leftrightarrow \\alpha$ mapping\n", + " and the linear equilibrium for scalars.\n", + "5. **Ginzburg & Adler**, \"Boundary conditions for lattice Boltzmann equations\", *Phys. Rev. E*\n", + " **53**, 6296 (1996). Halfway-wall constructions; the anti-bounce-back Dirichlet condition\n", + " used for fixed wall temperature follows the same logic.\n", + "6. **Wang, Guo & Mi**, \"A review on the lattice Boltzmann method for computational fluid dynamics\n", + " and heat transfer\", *International Journal of Heat and Mass Transfer* **106**, 474–491\n", + " (2017). Broad survey of thermal LBM models, boundary conditions, and coupling strategies." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "bd0398e5", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:31.536580Z", + "iopub.status.busy": "2026-09-02T13:32:31.536466Z", + "iopub.status.idle": "2026-09-02T13:32:31.538384Z", + "shell.execute_reply": "2026-09-02T13:32:31.538023Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alpha = 0.0100 -> omega = 1.8868 -> alpha again = 0.0100\n", + "alpha = 0.1667 -> omega = 1.0000 -> alpha again = 0.1667\n", + "alpha = 0.5000 -> omega = 0.5000 -> alpha again = 0.5000\n" + ] + } + ], + "source": [ + "for alpha in [0.01, 1.0 / 6.0, 0.5]:\n", + " omega = omega_from_diffusivity(alpha)\n", + " print(f\"alpha = {alpha:.4f} -> omega = {omega:.4f} -> alpha again = {diffusivity_from_omega(omega):.4f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "ac297247", + "metadata": {}, + "source": [ + "Note that $\\alpha = 1/6$ gives exactly $\\omega = 1$, the best-conditioned choice. Staying\n", + "roughly within $\\alpha \\in [0.01, 0.5]$ (that is, $\\omega \\in [0.5, 1.9]$) keeps the scheme\n", + "both accurate and stable. Very small $\\alpha$ pushes $\\omega \\to 2$, where the scheme becomes\n", + "noisy; very large $\\alpha$ pushes $\\omega \\to 0$, where it becomes over-diffusive and slow." + ] + }, + { + "cell_type": "markdown", + "id": "443b82a1", + "metadata": {}, + "source": [ + "---\n", + "## Step 2 — Simulation parameters\n", + "\n", + "| Parameter | Role |\n", + "|-----------|------|\n", + "| `grid_shape` | Number of lattice nodes in x and y |\n", + "| `velocity_set` | **D2Q5** — the five-velocity scalar stencil |\n", + "| `diffusivity` | Thermal diffusivity $\\alpha = k/(\\rho c_p)$ in lattice units |\n", + "| `source` | Volumetric heating $S = q'''/(\\rho c_p)$, per time step |\n", + "| `wall_temperature` | Temperature held on the cooled faces |\n", + "\n", + "### A word on units\n", + "\n", + "Everything above is in **lattice units**: lengths in cells, times in steps. The source is\n", + "therefore \"temperature added per cell per step\", i.e. $q''' \\Delta t / (\\rho c_p)$. Keeping it\n", + "small matters — with `source = 1e-6` over 60,000 steps the temperature rises to about\n", + "$3\\times 10^{-3}$, comfortably small. The heat equation is *linear* in $T$, so the choice of\n", + "scale is arbitrary and you can always rescale the answer afterwards. That linearity is a\n", + "genuine convenience: unlike the flow solver, there is no Mach number to worry about." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "f53b6346", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:31.539528Z", + "iopub.status.busy": "2026-09-02T13:32:31.539468Z", + "iopub.status.idle": "2026-09-02T13:32:31.603233Z", + "shell.execute_reply": "2026-09-02T13:32:31.602839Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Grid: 64 x 64\n", + "Velocity set: D2Q5 (5 populations per node)\n", + "Weights: w_0 = 0.3333, w_i = 0.1667\n", + "Diffusivity: 0.2000\n", + "Omega: 0.9091\n" + ] + } + ], + "source": [ + "grid_shape = (64, 64)\n", + "compute_backend = ComputeBackend.JAX\n", + "precision_policy = PrecisionPolicy.FP64FP64\n", + "\n", + "velocity_set = xlb.velocity_set.D2Q5(\n", + " precision_policy=precision_policy,\n", + " compute_backend=compute_backend,\n", + ")\n", + "\n", + "diffusivity = 0.2 # 1.0 / 6.0\n", + "omega = omega_from_diffusivity(diffusivity)\n", + "\n", + "source_value = 1e-6\n", + "wall_temperature = 0.0\n", + "\n", + "print(f\"Grid: {grid_shape[0]} x {grid_shape[1]}\")\n", + "print(f\"Velocity set: D2Q5 ({velocity_set.q} populations per node)\")\n", + "print(f\"Weights: w_0 = {velocity_set.w[0]:.4f}, w_i = {velocity_set.w[1]:.4f}\")\n", + "print(f\"Diffusivity: {diffusivity:.4f}\")\n", + "print(f\"Omega: {omega:.4f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "069d7cc2", + "metadata": {}, + "source": [ + "---\n", + "## Step 3 — Initialize XLB and create the grid\n", + "\n", + "As always, `xlb.init` is called once to register the defaults, and `grid_factory` builds the\n", + "container that holds our fields." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "0bf160de", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:31.604381Z", + "iopub.status.busy": "2026-09-02T13:32:31.604321Z", + "iopub.status.idle": "2026-09-02T13:32:31.605950Z", + "shell.execute_reply": "2026-09-02T13:32:31.605665Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No GPU support is available; CPU fallback will be used.\n" + ] + } + ], + "source": [ + "xlb.init(\n", + " velocity_set=velocity_set,\n", + " default_backend=compute_backend,\n", + " default_precision_policy=precision_policy,\n", + ")\n", + "\n", + "grid = grid_factory(grid_shape, compute_backend=compute_backend)" + ] + }, + { + "cell_type": "markdown", + "id": "88e69fe0", + "metadata": {}, + "source": [ + "---\n", + "## Step 4 — Thermal boundary conditions\n", + "\n", + "Thermal problems come with two physically distinct kinds of wall condition, and XLB provides\n", + "one operator for each.\n", + "\n", + "### `ScalarDirichletBC` — a prescribed temperature\n", + "\n", + "This is the \"held at a fixed temperature\" wall: a face in contact with a large reservoir, or\n", + "an actively cooled surface. It is implemented by **anti-bounce-back**: the population\n", + "streaming back from the wall is\n", + "\n", + "$$g_l = -g^{\\rm pre}_{\\bar{l}} + 2 w_l T_{\\rm wall},$$\n", + "\n", + "where $\\bar{l}$ is the direction opposite to $l$. The minus sign is the whole point, and it is\n", + "what distinguishes this from the fluid `HalfwayBounceBackBC`. A no-slip wall *reflects*\n", + "momentum, so it reverses the population and keeps the sign. A fixed-temperature wall must\n", + "instead let the anti-symmetric part of the populations pass through while pinning their\n", + "symmetric part to $2w_l T_{\\rm wall}$ — hence anti-bounce-back. The wall ends up located\n", + "exactly halfway between the last fluid node and the first node outside, which is why the\n", + "analytical comparisons below use cell-centre coordinates offset by half a cell.\n", + "\n", + "### `ScalarNeumannBC` — a prescribed heat flux\n", + "\n", + "This is the \"so much heat crosses this face\" wall, and its most useful special case is\n", + "`flux=0.0`: a **perfectly insulated (adiabatic)** wall. It is implemented as ordinary\n", + "bounce-back with an added flux term,\n", + "\n", + "$$g_l = g^{\\rm pre}_{\\bar{l}} + 2 c_s^{-2} w_l \\, \\Phi .$$\n", + "\n", + "With $\\Phi = 0$ this is exactly bounce-back, and it makes the wall reflect heat perfectly, so\n", + "nothing leaks out.\n", + "\n", + "### Setting up our slab\n", + "\n", + "Cooled top and bottom, insulated left and right." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "18cbc4a3", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:31.606955Z", + "iopub.status.busy": "2026-09-02T13:32:31.606891Z", + "iopub.status.idle": "2026-09-02T13:32:31.609020Z", + "shell.execute_reply": "2026-09-02T13:32:31.608730Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc ScalarDirichletBC_300202334 with id 1\n", + "registered bc ScalarNeumannBC_300202202 with id 2\n", + "Cooled nodes (Dirichlet): 128\n", + "Insulated nodes (Neumann): 124\n" + ] + } + ], + "source": [ + "box = grid.bounding_box_indices()\n", + "box_no_edge = grid.bounding_box_indices(remove_edges=True)\n", + "\n", + "cooled = [box[\"bottom\"][i] + box[\"top\"][i] for i in range(velocity_set.d)]\n", + "insulated = [box_no_edge[\"left\"][i] + box_no_edge[\"right\"][i] for i in range(velocity_set.d)]\n", + "\n", + "bc_cooled = ScalarDirichletBC(value=wall_temperature, indices=cooled)\n", + "bc_insulated = ScalarNeumannBC(flux=0.00, indices=insulated)\n", + "\n", + "boundary_conditions = [bc_cooled, bc_insulated]\n", + "\n", + "print(f\"Cooled nodes (Dirichlet): {len(cooled[0])}\")\n", + "print(f\"Insulated nodes (Neumann): {len(insulated[0])}\")" + ] + }, + { + "cell_type": "markdown", + "id": "4d308c42", + "metadata": {}, + "source": [ + "---\n", + "## Step 5 — The `ThermalStepper`\n", + "\n", + "`ThermalStepper` is to the scalar conduction what `IncompressibleNavierStokesStepper` is to the flow: it\n", + "assembles streaming, collision, equilibrium, the moment, the source term, and the boundary\n", + "conditions into one complete time step.\n", + "\n", + "It is deliberately **independent of the flow solver**. It owns its own populations and its own\n", + "boundary masks, so it can run entirely on its own — which is exactly what we are doing here." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "ca04f0f4", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:31.609913Z", + "iopub.status.busy": "2026-09-02T13:32:31.609858Z", + "iopub.status.idle": "2026-09-02T13:32:31.611694Z", + "shell.execute_reply": "2026-09-02T13:32:31.611279Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Operators assembled by the stepper:\n", + " equilibrium: LinearEquilibrium\n", + " collision: BGK\n", + " moment: ZeroMoment\n", + " source: ScalarSource\n" + ] + } + ], + "source": [ + "stepper = ThermalStepper(\n", + " grid=grid,\n", + " boundary_conditions=boundary_conditions,\n", + ")\n", + "\n", + "print(\"Operators assembled by the stepper:\")\n", + "print(f\" equilibrium: {stepper.equilibrium.__class__.__name__}\")\n", + "print(f\" collision: {stepper.collision.__class__.__name__}\")\n", + "print(f\" moment: {stepper.zero_moment.__class__.__name__}\")\n", + "print(f\" source: {stepper.source.__class__.__name__}\")" + ] + }, + { + "cell_type": "markdown", + "id": "671c12ac", + "metadata": {}, + "source": [ + "---\n", + "## Step 6 — Allocate the fields\n", + "\n", + "`prepare_fields` returns the two population buffers (XLB double-buffers, so one is read while\n", + "the other is written) together with the boundary masks. We start the slab uniformly at the\n", + "wall temperature." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "6638297d", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:31.612566Z", + "iopub.status.busy": "2026-09-02T13:32:31.612497Z", + "iopub.status.idle": "2026-09-02T13:32:32.113971Z", + "shell.execute_reply": "2026-09-02T13:32:32.113585Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "g_0 shape: (5, 64, 64) <- (q, nx, ny), one 2D slice per direction\n", + "bc_mask: (1, 64, 64)\n" + ] + } + ], + "source": [ + "g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=wall_temperature)\n", + "\n", + "print(f\"g_0 shape: {g_0.shape} <- (q, nx, ny), one 2D slice per direction\")\n", + "print(f\"bc_mask: {bc_mask.shape}\")" + ] + }, + { + "cell_type": "markdown", + "id": "96d669d0", + "metadata": {}, + "source": [ + "### The velocity and source fields\n", + "\n", + "`prepare_aux_fields` allocates the two fields the scalar needs from the outside world: the\n", + "**advecting velocity** and the **volumetric source**. Both come back zero-filled, and that\n", + "default is meaningful — a zero velocity field is what reduces transport to pure conduction.\n", + "So out of the box, `ThermalStepper` solves the heat equation.\n", + "\n", + "We leave `u` at zero and fill `source` with our heating rate." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ea54e256", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:32.115152Z", + "iopub.status.busy": "2026-09-02T13:32:32.115082Z", + "iopub.status.idle": "2026-09-02T13:32:32.181839Z", + "shell.execute_reply": "2026-09-02T13:32:32.181373Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "u shape: (2, 64, 64) <- zero, so no advection: pure conduction\n", + "source shape: (1, 64, 64) <- uniform volumetric heating\n" + ] + } + ], + "source": [ + "u, source = stepper.prepare_aux_fields()\n", + "source = source.at[0].set(source_value)\n", + "\n", + "print(f\"u shape: {u.shape} <- zero, so no advection: pure conduction\")\n", + "print(f\"source shape: {source.shape} <- uniform volumetric heating\")" + ] + }, + { + "cell_type": "markdown", + "id": "b9aef573", + "metadata": {}, + "source": [ + "---\n", + "## Step 7 — The analytical solution\n", + "\n", + "Before running anything, let us work out the answer we expect. At steady state the time\n", + "derivative vanishes and, because nothing varies along $x$, the heat equation collapses to a\n", + "one-dimensional balance between conduction and generation:\n", + "\n", + "$$0 = \\alpha \\frac{d^2 T}{dy^2} + S .$$\n", + "\n", + "Integrating twice with $T = T_{\\rm wall}$ at both $y=0$ and $y=L$ gives a **parabola**:\n", + "\n", + "$$T(y) = T_{\\rm wall} + \\frac{S L^2}{2\\alpha}\\, \\frac{y}{L}\\left(1 - \\frac{y}{L}\\right),$$\n", + "\n", + "whose peak sits at the centre with value $T_{\\rm wall} + S L^2 / (8\\alpha)$.\n", + "\n", + "This is the classic profile of a slab with uniform internal heating, and it is the standard\n", + "textbook result for, among other things, the temperature across a nuclear fuel plate.\n", + "\n", + "Because the halfway walls sit at $y=0$ and $y=L$ while the nodes sit at cell centres, node $j$\n", + "is at $y = j + \\tfrac{1}{2}$." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "64cb950f", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:32.182967Z", + "iopub.status.busy": "2026-09-02T13:32:32.182904Z", + "iopub.status.idle": "2026-09-02T13:32:32.184792Z", + "shell.execute_reply": "2026-09-02T13:32:32.184437Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Predicted centreline temperature: 2.559375e-03\n" + ] + } + ], + "source": [ + "ny = grid_shape[1]\n", + "y_over_L = (np.arange(ny) + 0.5) / ny\n", + "\n", + "peak = source_value * ny**2 / (2.0 * diffusivity)\n", + "T_analytical = wall_temperature + peak * y_over_L * (1.0 - y_over_L)\n", + "\n", + "print(f\"Predicted centreline temperature: {T_analytical.max():.6e}\")" + ] + }, + { + "cell_type": "markdown", + "id": "40599ba1", + "metadata": {}, + "source": [ + "---\n", + "## Step 8 — Run the simulation\n", + "\n", + "One call to the stepper is one time step. As in the fluid tutorials we swap the buffers after\n", + "each call.\n", + "\n", + "### How long is long enough?\n", + "\n", + "Diffusion is slow. Information spreads across a distance $L$ in a time of order $L^2/\\alpha$,\n", + "so for our $64 \\times 64$ slab at $\\alpha = 1/6$ that is roughly $64^2 / (1/6) \\approx 25{,}000$\n", + "steps for a single diffusion time. " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "260205e7", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:32.185811Z", + "iopub.status.busy": "2026-09-02T13:32:32.185761Z", + "iopub.status.idle": "2026-09-02T13:32:35.156714Z", + "shell.execute_reply": "2026-09-02T13:32:35.156227Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "step 0 T_centre = 1.000000e-06 rel. error = 1.00e+00\n", + "step 10000 T_centre = 2.538068e-03 rel. error = 8.32e-03\n", + "step 20000 T_centre = 2.559170e-03 rel. error = 4.06e-04\n", + "step 29999 T_centre = 2.559340e-03 rel. error = 4.07e-04\n" + ] + } + ], + "source": [ + "num_steps = 30000\n", + "report_every = 10000\n", + "\n", + "history = []\n", + "\n", + "for i in range(num_steps):\n", + " g_0, g_1 = stepper(g_0, g_1, u, source, bc_mask, missing_mask, omega, i)\n", + " g_0, g_1 = g_1, g_0\n", + "\n", + " if i % report_every == 0 or i == num_steps - 1:\n", + " # The temperature is the zeroth moment of the populations\n", + " T = np.asarray(ZeroMoment()(g_0))[0]\n", + " profile = T[grid_shape[0] // 2]\n", + " error = np.abs(profile - T_analytical).max() / T_analytical.max()\n", + " history.append((i, profile.max(), error))\n", + " print(f\"step {i:>6d} T_centre = {profile.max():.6e} rel. error = {error:.2e}\")" + ] + }, + { + "cell_type": "markdown", + "id": "b57a041e", + "metadata": {}, + "source": [ + "---\n", + "## Step 9 — Compare against the analytical solution" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "68e48b43", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:35.157881Z", + "iopub.status.busy": "2026-09-02T13:32:35.157806Z", + "iopub.status.idle": "2026-09-02T13:32:35.393263Z", + "shell.execute_reply": "2026-09-02T13:32:35.392937Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "T = np.asarray(ZeroMoment()(g_0))[0]\n", + "profile = T[grid_shape[0] // 2]\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 4.5))\n", + "\n", + "im = axes[0].imshow(T.T, origin=\"lower\", cmap=\"inferno\")\n", + "axes[0].contour(T.T, levels=10, colors=\"w\", linewidths=0.4)\n", + "axes[0].set_title(\"Temperature field\")\n", + "axes[0].set_xlabel(\"x\")\n", + "axes[0].set_ylabel(\"y\")\n", + "fig.colorbar(im, ax=axes[0], label=\"T\")\n", + "\n", + "axes[1].plot(y_over_L, T_analytical, \"k-\", lw=2, label=\"analytical parabola\")\n", + "axes[1].plot(y_over_L[::2], profile[::2], \"o\", mfc=\"none\", mec=\"tab:red\", label=\"XLB\")\n", + "axes[1].set_xlabel(\"y / L\")\n", + "axes[1].set_ylabel(\"T\")\n", + "axes[1].set_title(\"Centreline profile\")\n", + "axes[1].legend()\n", + "axes[1].grid(alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(FIG_DIR / \"conduction_with_source.png\", dpi=150)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cd588496", + "metadata": {}, + "source": [ + "The field is uniform along $x$ (as it must be, since the sides are insulated and nothing\n", + "breaks the symmetry) and parabolic in $y$, matching the analytical curve.\n", + "\n", + "Notice also what the insulated sides accomplish: because no heat leaves through them, the\n", + "problem is genuinely one-dimensional and we recover the 1D slab solution on a 2D grid." + ] + }, + { + "cell_type": "markdown", + "id": "7f2e311a", + "metadata": { + "lines_to_next_cell": 2 + }, + "source": [ + "---\n", + "## Step 10 — Changing the boundary conditions\n", + "\n", + "The two BC types can be recombined freely, and it is instructive to see what each one does.\n", + "Let us solve three variants on the same grid:\n", + "\n", + "1. **Both walls Dirichlet, no source** — pure conduction between a hot and a cold face. The\n", + " expected answer is a straight line, the thermal equivalent of Fourier's law in a wall.\n", + "2. **Hot wall below, insulated above, no source** — heat enters nowhere and leaves nowhere,\n", + " so the slab must eventually reach the wall temperature everywhere.\n", + "3. **Prescribed flux below, cold above** — a constant heat flux drives a constant gradient\n", + " $dT/dy = -\\Phi/\\alpha$, again a straight line but now with a slope we set directly." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "c41c7c49", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:35.394628Z", + "iopub.status.busy": "2026-09-02T13:32:35.394534Z", + "iopub.status.idle": "2026-09-02T13:32:50.263328Z", + "shell.execute_reply": "2026-09-02T13:32:50.262776Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc ScalarDirichletBC_300742462 with id 3\n", + "registered bc ScalarDirichletBC_301364493 with id 4\n", + "registered bc ScalarDirichletBC_301409756 with id 5\n", + "registered bc ScalarNeumannBC_301409780 with id 6\n", + "registered bc ScalarNeumannBC_301369339 with id 7\n", + "registered bc ScalarDirichletBC_301419221 with id 8\n" + ] + } + ], + "source": [ + "def solve(make_bcs, num_steps=40000, source_value=0.0, phi_init=0.0, shape=grid_shape):\n", + " \"\"\"Run a thermal case to steady state and return the mid-domain profile.\"\"\"\n", + " grid = grid_factory(shape, compute_backend=compute_backend)\n", + " bcs = make_bcs(grid.bounding_box_indices(), grid.bounding_box_indices(remove_edges=True))\n", + "\n", + " stepper = ThermalStepper(grid=grid, boundary_conditions=bcs)\n", + " g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=phi_init)\n", + " u, source = stepper.prepare_aux_fields()\n", + " if source_value != 0.0:\n", + " source = source.at[0].set(source_value)\n", + "\n", + " for i in range(num_steps):\n", + " g_0, g_1 = stepper(g_0, g_1, u, source, bc_mask, missing_mask, omega, i)\n", + " g_0, g_1 = g_1, g_0\n", + "\n", + " return np.asarray(ZeroMoment()(g_0))[0][shape[0] // 2]\n", + "\n", + "\n", + "# 1. Hot bottom, cold top\n", + "profile_linear = solve(\n", + " lambda box, box_no_edge: [\n", + " ScalarDirichletBC(value=1.0, indices=box[\"bottom\"]),\n", + " ScalarDirichletBC(value=0.0, indices=box[\"top\"]),\n", + " ]\n", + ")\n", + "\n", + "# 2. Hot bottom, insulated top. Only one wall can remove heat here, so this configuration\n", + "# equilibrates far more slowly than the others and needs a longer run.\n", + "profile_adiabatic = solve(\n", + " lambda box, box_no_edge: [\n", + " ScalarDirichletBC(value=1.0, indices=box[\"bottom\"]),\n", + " ScalarNeumannBC(flux=0.0, indices=box[\"top\"]),\n", + " ],\n", + " num_steps=150000,\n", + ")\n", + "\n", + "# 3. Prescribed flux in at the bottom, cold top\n", + "flux = 1e-4\n", + "profile_flux = solve(\n", + " lambda box, box_no_edge: [\n", + " ScalarNeumannBC(flux=flux, indices=box[\"bottom\"]),\n", + " ScalarDirichletBC(value=0.0, indices=box[\"top\"]),\n", + " ],\n", + " num_steps=80000,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "71bc7906", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:32:50.264688Z", + "iopub.status.busy": "2026-09-02T13:32:50.264615Z", + "iopub.status.idle": "2026-09-02T13:32:50.476940Z", + "shell.execute_reply": "2026-09-02T13:32:50.476341Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Case 1 max error vs. linear profile: 2.25e-05\n", + "Case 2 departure from uniform T = 1: 1.80e-08\n", + "Case 3 measured slope: -5.1330e-04 (expected -5.0000e-04)\n" + ] + } + ], + "source": [ + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "axes[0].plot(y_over_L, 1.0 - y_over_L, \"k-\", lw=2, label=\"analytical\")\n", + "axes[0].plot(y_over_L[::3], profile_linear[::3], \"o\", mfc=\"none\", mec=\"tab:red\", label=\"XLB\")\n", + "axes[0].set_title(\"Dirichlet / Dirichlet\\n(linear conduction)\")\n", + "\n", + "axes[1].axhline(1.0, color=\"k\", lw=2, label=\"analytical\")\n", + "axes[1].plot(y_over_L[::3], profile_adiabatic[::3], \"o\", mfc=\"none\", mec=\"tab:red\", label=\"XLB\")\n", + "axes[1].set_ylim(0.0, 1.4)\n", + "axes[1].set_title(\"Dirichlet / insulated\\n(uniform temperature)\")\n", + "\n", + "expected_flux_profile = flux / diffusivity * (ny - np.arange(ny) - 0.5)\n", + "axes[2].plot(y_over_L, expected_flux_profile, \"k-\", lw=2, label=\"analytical\")\n", + "axes[2].plot(y_over_L[::3], profile_flux[::3], \"o\", mfc=\"none\", mec=\"tab:red\", label=\"XLB\")\n", + "axes[2].set_title(f\"Flux / Dirichlet\\n(slope = $-\\\\Phi/\\\\alpha$ = {-flux / diffusivity:.2e})\")\n", + "\n", + "for ax in axes:\n", + " ax.set_xlabel(\"y / L\")\n", + " ax.set_ylabel(\"T\")\n", + " ax.legend()\n", + " ax.grid(alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(FIG_DIR / \"boundary_conditions.png\", dpi=150)\n", + "plt.show()\n", + "\n", + "# The slope of case 3 is fitted over the interior nodes only: a one-sided difference at the\n", + "# first and last node would report the wall value rather than the gradient we are after.\n", + "interior = slice(4, -4)\n", + "measured_slope = np.polyfit(np.arange(ny)[interior], profile_flux[interior], 1)[0]\n", + "\n", + "print(f\"Case 1 max error vs. linear profile: {np.abs(profile_linear - (1.0 - y_over_L)).max():.2e}\")\n", + "print(f\"Case 2 departure from uniform T = 1: {np.abs(profile_adiabatic - 1.0).max():.2e}\")\n", + "print(f\"Case 3 measured slope: {measured_slope:.4e} (expected {-flux / diffusivity:.4e})\")" + ] + }, + { + "cell_type": "markdown", + "id": "9e73641b", + "metadata": {}, + "source": [ + "---\n", + "## Step 11 — A transient: how heat actually spreads\n", + "\n", + "Everything so far has been steady state. To close the loop, let us watch a **transient** and\n", + "check it against the other exact solution of the heat equation: the spreading of a\n", + "concentrated hot spot.\n", + "\n", + "On a periodic domain with no walls and no source, an initial Gaussian of width $\\sigma_0$ stays\n", + "Gaussian and simply widens,\n", + "\n", + "$$\\sigma^2(t) = \\sigma_0^2 + 2\\alpha t.$$\n", + "\n", + "This is the cleanest possible test of the $\\omega \\leftrightarrow \\alpha$ mapping, since no\n", + "boundary condition is involved at all. Note the empty `boundary_conditions=[]`: with no BCs,\n", + "streaming simply wraps around and the domain is fully periodic." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "908d01d4", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:29.597957Z", + "iopub.status.busy": "2026-09-02T13:33:29.597861Z", + "iopub.status.idle": "2026-09-02T13:33:29.786371Z", + "shell.execute_reply": "2026-09-02T13:33:29.785854Z" + } + }, + "outputs": [], + "source": [ + "nx_1d = 200\n", + "grid_1d = grid_factory((nx_1d, 3), compute_backend=compute_backend)\n", + "stepper_1d = ThermalStepper(grid=grid_1d, boundary_conditions=[])\n", + "\n", + "alpha_1d = 1.0 / 6.0\n", + "omega_1d = omega_from_diffusivity(alpha_1d)\n", + "\n", + "x = np.arange(nx_1d)\n", + "sigma_0, x0 = 4.0, nx_1d // 2\n", + "phi_init = np.exp(-0.5 * ((x - x0) / sigma_0) ** 2)[None, :, None] * np.ones((1, nx_1d, 3))\n", + "\n", + "g_0, g_1, bc_mask_1d, missing_mask_1d = stepper_1d.prepare_fields(phi_init=phi_init)\n", + "u_1d, source_1d = stepper_1d.prepare_aux_fields()\n", + "\n", + "snapshots = {0: phi_init[0, :, 1].copy()}\n", + "snapshot_steps = [50, 200, 800]\n", + "\n", + "for i in range(max(snapshot_steps) + 1):\n", + " g_0, g_1 = stepper_1d(g_0, g_1, u_1d, source_1d, bc_mask_1d, missing_mask_1d, omega_1d, i)\n", + " g_0, g_1 = g_1, g_0\n", + " if i + 1 in snapshot_steps:\n", + " snapshots[i + 1] = np.asarray(ZeroMoment()(g_0))[0][:, 1]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "d1648884", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:29.787649Z", + "iopub.status.busy": "2026-09-02T13:33:29.787583Z", + "iopub.status.idle": "2026-09-02T13:33:29.869936Z", + "shell.execute_reply": "2026-09-02T13:33:29.869621Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t = 0 measured sigma^2 = 16.000 expected 16.000\n", + "t = 50 measured sigma^2 = 32.667 expected 32.667\n", + "t = 200 measured sigma^2 = 82.667 expected 82.667\n", + "t = 800 measured sigma^2 = 282.667 expected 282.667\n" + ] + } + ], + "source": [ + "plt.figure(figsize=(8, 5))\n", + "\n", + "for step, profile in snapshots.items():\n", + " sigma_t = np.sqrt(sigma_0**2 + 2.0 * alpha_1d * step)\n", + " exact = sigma_0 / sigma_t * np.exp(-0.5 * ((x - x0) / sigma_t) ** 2)\n", + "\n", + " line = plt.plot(x, exact, \"-\", lw=2, label=f\"t = {step} (exact)\")[0]\n", + " plt.plot(x, profile, \"--\",\n", + " label=f\"t = {step} (XLB)\")\n", + "\n", + "plt.xlim(x0 - 60, x0 + 60)\n", + "plt.xlabel(\"x\")\n", + "plt.ylabel(\"T\")\n", + "plt.title(\"Spreading of a hot spot: lines are exact, circles are XLB\")\n", + "plt.legend()\n", + "plt.grid(alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.savefig(FIG_DIR / \"heat_kernel.png\", dpi=150)\n", + "plt.show()\n", + "\n", + "for step, profile in snapshots.items():\n", + " weights = profile / profile.sum()\n", + " centroid = np.sum(weights * x)\n", + " variance = np.sum(weights * (x - centroid) ** 2)\n", + " print(f\"t = {step:>4d} measured sigma^2 = {variance:8.3f} expected {sigma_0**2 + 2.0 * alpha_1d * step:8.3f}\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "XLB (3.12.13)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/03_flow_past_cylinder_2d.ipynb b/examples/tutorials/03_flow_past_cylinder_2d.ipynb new file mode 100644 index 00000000..79fd6d3a --- /dev/null +++ b/examples/tutorials/03_flow_past_cylinder_2d.ipynb @@ -0,0 +1,856 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "intro-md", + "metadata": {}, + "source": [ + "# Flow Past a Cylinder with XLB (2D)\n", + "\n", + "Welcome! This notebook simulates a classic fluid dynamics problem: flow past a cylinder. We'll use [XLB](https://github.com/Autodesk/XLB), a lattice Boltzmann library, and walk through each step so it's clear not just *what* the code does, but *why*.\n", + "\n", + "**The problem, in plain terms:** fluid flows into one end of a rectangular channel and out the other. Sitting near the inlet is a circular cylinder, blocking part of the flow. At low speeds the fluid would just flow smoothly around it, but at **Re = 200** (a moderate Reynolds number, based on the cylinder's diameter), something more interesting happens: the flow can no longer stay smooth behind the cylinder. It starts shedding vortices alternately from the top and bottom, one after another, in a repeating pattern called a **Kármán vortex street** — the same phenomenon you can sometimes see in clouds passing over an island, or hear as the \"singing\" of wires in the wind. Because of this, the flow never settles into a fixed shape; it oscillates forever. We'll measure that oscillation directly, by tracking the lift and drag forces on the cylinder over time and figuring out how fast it repeats.\n", + "\n", + "**What we'll do, step by step:**\n", + "\n", + "1. Set up the library (choose the lattice model, backend, and numerical precision)\n", + "2. Build a channel that's noticeably longer than it is tall, so the wake has room to develop\n", + "3. Translate physical parameters (Reynolds number, cylinder size) into the numbers the solver uses internally\n", + "4. Tell the solver where the inlet, outlet, walls, and cylinder are\n", + "5. Assemble a \"stepper\" — the object that advances the simulation by one time step\n", + "6. Allocate the arrays that hold the simulation state\n", + "7. Run the simulation, measuring the force on the cylinder at every step\n", + "8. Look at the wake pattern and the force oscillations, and estimate the shedding frequency" + ] + }, + { + "cell_type": "markdown", + "id": "prereq-md", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "\n", + "Install XLB with JAX support. CPU is fine to follow along and see everything work; a GPU is recommended if you want to run the full simulation length used here in a reasonable amount of time." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "imports", + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "\n", + "import jax.numpy as jnp\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import warp as wp\n", + "\n", + "import xlb\n", + "import xlb.velocity_set\n", + "from xlb.compute_backend import ComputeBackend\n", + "from xlb.grid import grid_factory\n", + "from xlb.operator.boundary_condition import (\n", + " ExtrapolationOutflowBC,\n", + " HalfwayBounceBackBC,\n", + " RegularizedBC,\n", + ")\n", + "from xlb.operator.force.momentum_transfer import MomentumTransfer\n", + "from xlb.operator.macroscopic import Macroscopic\n", + "from xlb.operator.stepper import IncompressibleNavierStokesStepper\n", + "from xlb.precision_policy import PrecisionPolicy\n", + "\n", + "FIG_DIR = Path(\"figures/flow_past_cylinder_2d\")\n", + "FIG_DIR.mkdir(parents=True, exist_ok=True)\n", + "\n", + "plt.rcParams.update({\"figure.figsize\": (8, 4), \"image.cmap\": \"twilight\"})" + ] + }, + { + "cell_type": "markdown", + "id": "step1-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 1 — Simulation parameters\n", + "\n", + "We start by deciding on the domain size and the physics. The cylinder's diameter `D` is the length scale that defines the Reynolds number:\n", + "\n", + "$$Re = \\frac{u_{max} \\, D}{\\nu}$$\n", + "\n", + "| Parameter | Role |\n", + "|-----------|------|\n", + "| `grid_shape` | `(nx, ny)` lattice nodes — how fine the grid is, and how long the channel is relative to its height |\n", + "| `cyl_diameter` | Cylinder diameter, in lattice cells — bigger means a better-resolved body but a slower simulation |\n", + "| `cyl_center` | Where the cylinder sits, placed a few diameters downstream of the inlet, centered vertically |\n", + "| `Re`, `u_max` | Reynolds number and the mean inlet speed — together they set the fluid's viscosity |\n", + "| `u_peak` | The peak speed of the inlet profile (only relevant if we use a parabolic inlet, see Step 5) |\n", + "| `omega` | The relaxation rate used internally by the lattice Boltzmann collision step; derived from viscosity |\n", + "\n", + "One important difference from a lid-driven cavity: at Re = 200 the flow behind the cylinder never stops changing — it sheds vortices forever. So there's no \"wait until it stops moving\" condition to check for. Instead, we simply decide how many times we want the flow to cross the whole domain (`flow_pass = grid_shape[0] / u_peak` gives the number of steps for one crossing) and run for a fixed multiple of that." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "params", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Grid: 384 x 128 (length:height = 3.0)\n", + "Velocity set: D2Q9 (9 populations per node)\n", + "Re: 200.0\n", + "Cylinder diam.: 16 cells (0.125 of the channel height)\n", + "Inlet profile: flat\n", + "Mean inlet speed: 0.05\n", + "Peak inlet speed: 0.07500000000000001\n", + "Viscosity nu: 4.000000e-03\n", + "Relaxation omega: 1.953125\n", + "Flow-pass steps: 5119\n" + ] + } + ], + "source": [ + "ny = 128\n", + "nx = int(3 * ny) # length : height\n", + "grid_shape = (nx, ny)\n", + "\n", + "compute_backend = ComputeBackend.JAX\n", + "precision_policy = PrecisionPolicy.FP64FP64\n", + "\n", + "velocity_set = xlb.velocity_set.D2Q9(\n", + " precision_policy=precision_policy,\n", + " compute_backend=compute_backend,\n", + ")\n", + "\n", + "Re = 200.0\n", + "u_max = 0.05 # mean inlet speed in lattice units\n", + "u_peak = 1.5 * u_max # peak speed of the parabolic inlet profile\n", + "cyl_diameter = int(ny / 8) # cylinder diameter in lattice cells\n", + "cyl_center = (nx // 4, ny // 2) # ~4 diameters downstream of the inlet, mid-height\n", + "\n", + "inlet_profile = \"flat\" # \"parabolic\" (Poiseuille) or \"flat\" (uniform)\n", + "\n", + "visc = u_max * cyl_diameter / Re\n", + "omega = 1.0 / (3.0 * visc + 0.5)\n", + "\n", + "flow_pass = int(grid_shape[0] / u_peak) # steps for the flow to cross the domain once\n", + "\n", + "print(f\"Grid: {grid_shape[0]} x {grid_shape[1]} (length:height = {grid_shape[0] / grid_shape[1]:.1f})\")\n", + "print(f\"Velocity set: D2Q9 ({velocity_set.q} populations per node)\")\n", + "print(f\"Re: {Re}\")\n", + "print(f\"Cylinder diam.: {cyl_diameter} cells ({cyl_diameter / grid_shape[1]:.3f} of the channel height)\")\n", + "print(f\"Inlet profile: {inlet_profile}\")\n", + "print(f\"Mean inlet speed: {u_max}\")\n", + "print(f\"Peak inlet speed: {u_peak}\")\n", + "print(f\"Viscosity nu: {visc:.6e}\")\n", + "print(f\"Relaxation omega: {omega:.6f}\")\n", + "print(f\"Flow-pass steps: {flow_pass}\")" + ] + }, + { + "cell_type": "markdown", + "id": "step2-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 2 — Initialize XLB (`xlb.init`)\n", + "\n", + "`xlb.init(...)` tells the library which lattice model, backend, and numerical precision to use by default. Any operator we create afterward falls back to these choices unless we explicitly override them. Call this once, right at the start of your script or notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "xlb-init", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No GPU support is available; CPU fallback will be used.\n" + ] + } + ], + "source": [ + "xlb.init(\n", + " velocity_set=velocity_set,\n", + " default_backend=compute_backend,\n", + " default_precision_policy=precision_policy,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "step3-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 3 — Create the grid (`grid_factory`)\n", + "\n", + "The grid is the container that holds all of our field arrays and knows the domain's shape. Population arrays will have shape `(q, nx, ny)` — one 2D slice per lattice direction." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "grid-create", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Grid type: JaxGrid\n", + "Shape: (384, 128)\n" + ] + } + ], + "source": [ + "grid = grid_factory(grid_shape, compute_backend=compute_backend)\n", + "print(f\"Grid type: {type(grid).__name__}\")\n", + "print(f\"Shape: {grid.shape}\")" + ] + }, + { + "cell_type": "markdown", + "id": "step4-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 4 — Boundary indices\n", + "\n", + "This is an **external/channel flow** rather than a closed box, so we have four distinct kinds of boundary to define, each described as a list of grid indices:\n", + "\n", + "- **Inlet (left):** fluid enters here at a prescribed velocity — we'll use `RegularizedBC(\"velocity\", ...)`\n", + "- **Outlet (right):** fluid should be able to leave freely, without bouncing back and corrupting the simulation — `ExtrapolationOutflowBC` extrapolates from the interior instead of pinning a fixed condition\n", + "- **Top/bottom walls:** stationary no-slip boundaries, same idea as the cavity walls — `HalfwayBounceBackBC`\n", + "- **Cylinder:** also a no-slip solid body, `HalfwayBounceBackBC` — we'll reuse this same boundary condition object later to measure the force the fluid exerts on it\n", + "\n", + "To find the cylinder's nodes, we build a simple circular mask: any grid point within `cyl_radius` of `cyl_center` counts as \"inside the cylinder.\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "bc-indices", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Inlet nodes: 126\n", + "Outlet nodes: 126\n", + "Wall nodes: 768\n", + "Cylinder nodes: 193\n" + ] + } + ], + "source": [ + "box = grid.bounding_box_indices()\n", + "box_no_edge = grid.bounding_box_indices(remove_edges=True)\n", + "\n", + "inlet = box_no_edge[\"left\"]\n", + "outlet = box_no_edge[\"right\"]\n", + "walls = [box[\"bottom\"][i] + box[\"top\"][i] for i in range(velocity_set.d)]\n", + "walls = np.unique(np.array(walls), axis=-1).tolist()\n", + "\n", + "cyl_radius = cyl_diameter / 2.0\n", + "x = np.arange(grid_shape[0])\n", + "y = np.arange(grid_shape[1])\n", + "X, Y = np.meshgrid(x, y, indexing=\"ij\")\n", + "cyl_mask = (X - cyl_center[0]) ** 2 + (Y - cyl_center[1]) ** 2 < cyl_radius**2\n", + "cyl_indices_arr = np.where(cyl_mask)\n", + "cylinder = [tuple(cyl_indices_arr[i].tolist()) for i in range(velocity_set.d)]\n", + "\n", + "print(f\"Inlet nodes: {len(inlet[0])}\")\n", + "print(f\"Outlet nodes: {len(outlet[0])}\")\n", + "print(f\"Wall nodes: {len(walls[0])}\")\n", + "print(f\"Cylinder nodes: {len(cylinder[0])}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bc-viz", + "metadata": {}, + "outputs": [ + { + "data": { + 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize where each BC is applied\n", + "bc_map = np.zeros(grid_shape, dtype=int) # 0 = interior, 1 = wall, 2 = inlet, 3 = outlet, 4 = cylinder\n", + "for i in range(len(walls[0])):\n", + " bc_map[walls[0][i], walls[1][i]] = 1\n", + "for i in range(len(inlet[0])):\n", + " bc_map[inlet[0][i], inlet[1][i]] = 2\n", + "for i in range(len(outlet[0])):\n", + " bc_map[outlet[0][i], outlet[1][i]] = 3\n", + "for i in range(len(cylinder[0])):\n", + " bc_map[cylinder[0][i], cylinder[1][i]] = 4\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "im = ax.imshow(bc_map.T, origin=\"lower\", cmap=\"jet\", vmin=0, vmax=4)\n", + "ax.set_title(\"Boundary layout (wall / inlet / outlet / cylinder)\")\n", + "ax.set_xlabel(\"x\")\n", + "ax.set_ylabel(\"y\")\n", + "fig.colorbar(im, ax=ax, ticks=[0, 1, 2, 3, 4], label=\"region\")\n", + "fig.tight_layout()\n", + "fig.savefig(FIG_DIR / \"00_boundary_layout.png\", dpi=150)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "step5-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 5 — Boundary condition objects\n", + "\n", + "Now we turn the index lists into actual boundary-condition operators:\n", + "\n", + "| BC | Region | Effect |\n", + "|----|--------|--------|\n", + "| `RegularizedBC(\"velocity\", profile=...)` | Inlet | Prescribes the inflow velocity profile |\n", + "| `ExtrapolationOutflowBC` | Outlet | Lets the wake exit smoothly, without spurious reflections bouncing back into the domain |\n", + "| `HalfwayBounceBackBC` | Top/bottom walls | No-slip channel walls |\n", + "| `HalfwayBounceBackBC` | Cylinder | No-slip solid body; also used later to compute drag/lift |\n", + "\n", + "For the inlet, there are two common choices for how the incoming velocity is distributed across the channel height, and `bc_profile()` below lets you pick either one via the `inlet_profile` flag set in Step 1:\n", + "\n", + "- `\"parabolic\"` — a Poiseuille profile: fastest in the middle of the channel, tapering smoothly to zero at the walls, peaking at `u_peak = 1.5 * u_max`. This is the more physically realistic choice for flow that has already developed inside a pipe or channel.\n", + "- `\"flat\"` — a uniform inflow at `u_max` everywhere across the inlet. This is the simpler, more idealized choice often used in textbook cylinder benchmarks, representing fluid arriving from a large open reservoir.\n", + "\n", + "Both are implemented for the JAX and Warp backends, even though this notebook only runs the JAX one — so the same code will work unchanged if you switch backends later." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "bc-objects", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc RegularizedBC_300024461 with id 1\n", + "registered bc ExtrapolationOutflowBC_300024536 with id 2\n", + "registered bc HalfwayBounceBackBC_299985642 with id 3\n", + "WARNING! Assuming no-slip condition for BC type = HalfwayBounceBackBC!\n", + "registered bc HalfwayBounceBackBC_300005230 with id 4\n", + "WARNING! Assuming no-slip condition for BC type = HalfwayBounceBackBC!\n", + "[HalfwayBounceBackBC(), RegularizedBC(), ExtrapolationOutflowBC(), HalfwayBounceBackBC()]\n" + ] + } + ], + "source": [ + "def bc_profile():\n", + " \"\"\"Inlet profile, switching on `inlet_profile`:\n", + " - \"parabolic\": Poiseuille profile, u_x = 4 u_peak / H^2 * (y H - y^2), zero at the walls.\n", + " - \"flat\": uniform profile, u_x = u_max everywhere.\n", + " \"\"\"\n", + " channel_height = float(grid_shape[1] - 1)\n", + "\n", + " if compute_backend == ComputeBackend.JAX:\n", + " if inlet_profile == \"parabolic\":\n", + "\n", + " def bc_profile_jax():\n", + " y = jnp.arange(grid_shape[1])\n", + " u_x = jnp.maximum(\n", + " 0.0,\n", + " 4.0 * u_peak / channel_height**2 * (y * channel_height - y**2),\n", + " )\n", + " u_y = jnp.zeros_like(u_x)\n", + " return jnp.stack([u_x, u_y])\n", + "\n", + " elif inlet_profile == \"flat\":\n", + "\n", + " def bc_profile_jax():\n", + " y = jnp.arange(grid_shape[1])\n", + " u_x = jnp.full_like(y, u_max, dtype=jnp.result_type(float))\n", + " u_y = jnp.zeros_like(u_x)\n", + " return jnp.stack([u_x, u_y])\n", + "\n", + " else:\n", + " raise ValueError(f\"Unknown inlet_profile: {inlet_profile!r}\")\n", + "\n", + " return bc_profile_jax\n", + "\n", + " wp_dtype = precision_policy.compute_precision.wp_dtype\n", + " ch = wp_dtype(channel_height)\n", + " four = wp_dtype(4.0)\n", + " u_peak_wp = wp_dtype(u_peak)\n", + " u_max_wp = wp_dtype(u_max)\n", + "\n", + " if inlet_profile == \"parabolic\":\n", + "\n", + " @wp.func\n", + " def bc_profile_warp(index: wp.vec3i):\n", + " y = wp_dtype(index[1])\n", + " u_x = four * u_peak_wp / (ch * ch) * (y * ch - y * y)\n", + " return wp.vec(wp.max(wp_dtype(0.0), u_x), length=1)\n", + "\n", + " elif inlet_profile == \"flat\":\n", + "\n", + " @wp.func\n", + " def bc_profile_warp(index: wp.vec3i):\n", + " return wp.vec(u_max_wp, length=1)\n", + "\n", + " else:\n", + " raise ValueError(f\"Unknown inlet_profile: {inlet_profile!r}\")\n", + "\n", + " return bc_profile_warp\n", + "\n", + "\n", + "bc_inlet = RegularizedBC(\"velocity\", profile=bc_profile(), indices=inlet)\n", + "bc_outlet = ExtrapolationOutflowBC(indices=outlet)\n", + "bc_walls = HalfwayBounceBackBC(indices=walls)\n", + "bc_cylinder = HalfwayBounceBackBC(indices=cylinder)\n", + "boundary_conditions = [bc_walls, bc_inlet, bc_outlet, bc_cylinder]\n", + "\n", + "print(boundary_conditions)" + ] + }, + { + "cell_type": "markdown", + "id": "step6-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 6 — Build the stepper\n", + "\n", + "`IncompressibleNavierStokesStepper` bundles streaming, boundary conditions, collision, and everything in between into one object you call once per time step. It doesn't care whether the underlying lattice is 2D or 3D — the same stepper class works for this D2Q9 cylinder case as it would for a fully three-dimensional flow." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "stepper-build", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Streaming scheme: pull\n", + "Collision: BGK\n" + ] + } + ], + "source": [ + "stepper = IncompressibleNavierStokesStepper(\n", + " grid=grid,\n", + " boundary_conditions=boundary_conditions,\n", + " collision_type=\"BGK\",\n", + ")\n", + "print(f\"Streaming scheme: {stepper.streaming_scheme}\")\n", + "print(f\"Collision: {type(stepper.collision).__name__}\")" + ] + }, + { + "cell_type": "markdown", + "id": "step7-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 7 — Prepare fields\n", + "\n", + "`prepare_fields()` allocates everything the time loop needs: the double-buffered populations `f_0`/`f_1`, the `bc_mask` (which boundary condition applies at each node), and the `missing_mask` (which incoming directions are blocked by a wall). Everything starts at uniform equilibrium — density ρ = 1, velocity **u** = 0 — representing fluid at rest before we turn the inlet on." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "prepare-fields", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warp 1.16.0 initialized:\n", + " CUDA not enabled in this build\n", + " Devices:\n", + " \"cpu\" : \"arm\"\n", + " Kernel cache:\n", + " /Users/rivas/Library/Caches/warp/1.16.0\n", + "f_0 shape: (9, 384, 128)\n", + "f_1 shape: (9, 384, 128)\n", + "bc_mask shape: (1, 384, 128), dtype=uint8\n", + "missing_mask shape: (9, 384, 128), dtype=bool\n" + ] + } + ], + "source": [ + "f_0, f_1, bc_mask, missing_mask = stepper.prepare_fields()\n", + "\n", + "print(f\"f_0 shape: {f_0.shape}\")\n", + "print(f\"f_1 shape: {f_1.shape}\")\n", + "print(f\"bc_mask shape: {bc_mask.shape}, dtype={bc_mask.dtype}\")\n", + "print(f\"missing_mask shape: {missing_mask.shape}, dtype={missing_mask.dtype}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "helpers", + "metadata": {}, + "outputs": [], + "source": [ + "macro = Macroscopic(\n", + " compute_backend=compute_backend,\n", + " precision_policy=precision_policy,\n", + " velocity_set=velocity_set,\n", + ")\n", + "\n", + "\n", + "def recover_macroscopic(f):\n", + " \"\"\"Recover rho and u from populations using the Macroscopic operator.\"\"\"\n", + " return macro(f)\n", + "\n", + "\n", + "def vorticity_z(u):\n", + " \"\"\"2D vorticity omega_z = d(u_y)/dx - d(u_x)/dy, u has shape (2, nx, ny).\"\"\"\n", + " du_y_dx = jnp.gradient(u[1], axis=0)\n", + " du_x_dy = jnp.gradient(u[0], axis=1)\n", + " return du_y_dx - du_x_dy\n", + "\n", + "\n", + "def plot_velocity_magnitude(f, title, save_path=None):\n", + " \"\"\"Recover velocity and plot |u| (interior nodes only).\"\"\"\n", + " _, u = recover_macroscopic(f)\n", + " u = u[:, 1:-1, 1:-1]\n", + " u_mag = jnp.sqrt(u[0] ** 2 + u[1] ** 2)\n", + "\n", + " fig, ax = plt.subplots(figsize=(10, 5))\n", + " im = ax.imshow(u_mag.T, origin=\"lower\")\n", + " ax.set_title(title)\n", + " ax.set_xlabel(\"x\")\n", + " ax.set_ylabel(\"y\")\n", + " fig.colorbar(im, ax=ax, label=\"|u|\")\n", + " fig.tight_layout()\n", + " if save_path is not None:\n", + " fig.savefig(save_path, dpi=150)\n", + " plt.show()\n", + "\n", + " return u_mag" + ] + }, + { + "cell_type": "markdown", + "id": "step8-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 8 — Momentum exchange for drag and lift\n", + "\n", + "To know how hard the fluid is pushing on the cylinder, we use `MomentumTransfer` — an operator that computes the force on a no-slip boundary using the momentum-exchange method (essentially: track how much momentum the fluid loses or gains each time it bounces off the solid surface). We attach it to `bc_cylinder`, the same boundary-condition object we defined in Step 5.\n", + "\n", + "In 2D, the returned force has two components: `force[0]` is drag (pushing the cylinder downstream, along x) and `force[1]` is lift (pushing it sideways, along y).\n", + "\n", + "Drag and lift coefficients are the standard way to report these forces without the value being tied to a specific fluid speed or cylinder size. In 2D, we normalize by the cylinder's diameter (its \"frontal area\" per unit length):\n", + "\n", + "$$C_D = \\frac{2 F_x}{u_{max}^2\\, D}, \\qquad C_L = \\frac{2 F_y}{u_{max}^2\\, D}$$" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "momentum-transfer", + "metadata": {}, + "outputs": [], + "source": [ + "momentum_transfer = MomentumTransfer(bc_cylinder, compute_backend=compute_backend)\n", + "\n", + "def drag_lift_coefficients(f_0, f_1, bc_mask, missing_mask):\n", + " force = momentum_transfer(f_0, f_1, bc_mask, missing_mask)\n", + " cd = 2.0 * force[0] / (u_max**2 * cyl_diameter)\n", + " cl = 2.0 * force[1] / (u_max**2 * cyl_diameter)\n", + " return float(cd), float(cl)" + ] + }, + { + "cell_type": "markdown", + "id": "step9-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 9 — The time loop\n", + "\n", + "As mentioned in Step 1, at Re = 200 this flow never settles — it sheds vortices forever, so there's no convergence check to wait for. Instead we advance for a fixed number of steps (a set number of full domain crossings, `num_steps = 8 * flow_pass`), recording $C_D$ and $C_L$ at every single step, since that's cheap. Every `snapshot_interval` steps, we also save a full snapshot of the velocity field, which we'll use afterward for the wake visualizations.\n", + "\n", + "We don't plot anything while the loop is running — we just collect what we need in memory first and do all the plotting afterward, once the run is done." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "time-loop", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "num_steps: 40952\n", + "snapshot_interval: 511\n", + "Step 40880: Cd=2.1237, Cl=0.920071\r" + ] + } + ], + "source": [ + "num_steps = 8 * flow_pass\n", + "snapshot_interval = int(0.1 * flow_pass)\n", + "snapshot_steps = list(range(0, num_steps + 1, snapshot_interval))\n", + "\n", + "print(f\"num_steps: {num_steps}\")\n", + "print(f\"snapshot_interval: {snapshot_interval}\")\n", + "\n", + "cd_history = np.zeros(num_steps + 1)\n", + "cl_history = np.zeros(num_steps + 1)\n", + "snapshots = {}\n", + "\n", + "for step in range(num_steps + 1):\n", + " cd, cl = drag_lift_coefficients(f_0, f_1, bc_mask, missing_mask)\n", + " cd_history[step] = cd\n", + " cl_history[step] = cl\n", + "\n", + " if step in snapshot_steps:\n", + " _, u_snap = recover_macroscopic(f_0)\n", + " snapshots[step] = np.asarray(u_snap)\n", + " print(f\"Step {step:6d}: Cd={cd:.4f}, Cl={cl:.4f}\", end=\"\\r\")\n", + "\n", + " if step == num_steps:\n", + " break\n", + "\n", + " f_0, f_1 = stepper(f_0, f_1, bc_mask, missing_mask, omega, step)\n", + " f_0, f_1 = f_1, f_0" + ] + }, + { + "cell_type": "markdown", + "id": "step10-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 10 — Post-processing\n", + "\n", + "Now let's see what we got. We'll look at three things:\n", + "\n", + "1. Velocity-magnitude and vorticity snapshots, to actually *see* the wake and the vortex shedding\n", + "2. The drag and lift coefficient histories over time, which should show a clear oscillation once transients have died down\n", + "3. An estimate of the shedding frequency (the Strouhal number), pulled out of the lift-coefficient oscillation via FFT" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "plot-snapshots", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import clear_output as clc\n", + "\n", + "for tt in range(0, len(snapshots), 1):\n", + " step = list(snapshots.keys())[tt]\n", + " u_snap = snapshots[step][:, 1:-1, 1:-1]\n", + " u_mag = np.sqrt(u_snap[0] ** 2 + u_snap[1] ** 2)\n", + " vorticity = vorticity_z(u_snap)\n", + "\n", + " fig, axs = plt.subplots(2, 1, figsize=(12, 8))\n", + "\n", + " ax = axs[0]\n", + " im = ax.imshow(u_mag.T, origin=\"lower\", vmin=0, vmax=0.1)\n", + " ax.streamplot(\n", + " np.arange(u_snap.shape[1]),\n", + " np.arange(u_snap.shape[2]),\n", + " u_snap[0].T,\n", + " u_snap[1].T,\n", + " color=\"k\",\n", + " density=1.5,\n", + " linewidth=0.5,\n", + " )\n", + " ax.set_title(f\"|u| at step {step}\")\n", + " ax.set_ylabel(\"y\")\n", + " fig.colorbar(im, ax=ax, label=\"|u|\")\n", + "\n", + " ax = axs[1]\n", + " im = ax.imshow(vorticity.T, origin=\"lower\", cmap=\"seismic\", vmin=-0.045, vmax=0.045)\n", + " ax.set_title(f\"Vorticity (omega_z) at step {step}\")\n", + " ax.set_xlabel(\"x\")\n", + " ax.set_ylabel(\"y\")\n", + " fig.colorbar(im, ax=ax, label=\"omega_z\")\n", + "\n", + " fig.savefig(FIG_DIR / f\"velocity_magnitude_step_{step}.png\", dpi=150)\n", + " plt.show()\n", + " clc(wait=True)\n", + " plt.close(fig)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "plot-cd-cl", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean Cd (settled): 1.9496\n", + "Cl amplitude (settled): 0.9677\n" + ] + } + ], + "source": [ + "steps_axis = np.arange(num_steps + 1)\n", + "\n", + "fig, axes = plt.subplots(2, 1, figsize=(10, 6), sharex=True)\n", + "axes[0].plot(steps_axis, cd_history, color=\"blue\")\n", + "axes[0].set_ylabel(\"$C_D$\")\n", + "axes[0].set_title(\"Drag and lift coefficients vs. time\")\n", + "axes[0].grid(True)\n", + "\n", + "axes[1].plot(steps_axis, cl_history, color=\"orange\")\n", + "axes[1].set_ylabel(\"$C_L$\")\n", + "axes[1].set_xlabel(\"step\")\n", + "axes[1].grid(True)\n", + "\n", + "fig.tight_layout()\n", + "fig.savefig(FIG_DIR / \"drag_lift_history.png\", dpi=150)\n", + "plt.show()\n", + "\n", + "# Use the second half of the run (transients washed out) for mean/statistics\n", + "settled = steps_axis > num_steps // 2\n", + "print(f\"Mean Cd (settled): {cd_history[settled].mean():.4f}\")\n", + "print(f\"Cl amplitude (settled): {(cl_history[settled].max() - cl_history[settled].min()) / 2:.4f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "strouhal-md", + "metadata": {}, + "source": [ + "### Strouhal number\n", + "\n", + "The Strouhal number is a compact, dimensionless way to describe how fast the vortex shedding oscillates:\n", + "\n", + "$$St = \\frac{f\\, D}{u_{max}}$$\n", + "\n", + "where $f$ is the shedding frequency. We find $f$ by taking an FFT of the settled portion of $C_L(t)$ (the part after transients have died out) and picking the strongest peak. For Re = 200, experiments and simulations consistently report $St \\approx 0.19$–$0.20$ — if our number lands near there, that's a good sign the simulation captured the physics correctly." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "strouhal", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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LAAAAeBCBhQvYYwkCCwAAAHgRXaFcwJebJxPfuNNsW1ceJSJ0hwIAAIC3EFi4gb9YBvzxg9lcUVTkdG4AAACAqNEVym3TzTqZEQAAAKCcCCxcN3ib0AIAAADeQ2DhAvZYgrgCAAAAXkRg4QJ+WzThdzQnAAAAQPkQWLiAVUaQAQAAAHgFgYUL2IMJ4goAAAB4EdPNukBhWoa0vmG62Z6ezhoWAAAA8B5aLFw3K5SjWQEAAADKhcDCdetYEFkAAADAe+gK5QIJ+fnyxNvjzLZ10VSnswMAAABEjcDCBayiIhm6dI7ZXlBc5HR2AAAAgKjRFcp10806mBEAAACgnAgsXMA+rsI+kBsAAADwCgILNwgZvA0AAAB4D4GFyxbI89MXCgAAAB5EYOG66WYBAAAA7yGwcNkYC3vrBQAAAOAVTDfrAgUp6dL52pL1K55Ly3A6OwAAAEDUCCxcQNsoclPS9mz7nM4OAAAAEDW6QrlsjAVdoQAAAOBFtFi4QEJBgfxnxiMlO+e84HR2AAAAgKgRWLhBUaEMW/SZ2fy8sNDp3AAAAABRoyuUC9hX22blbQAAAHgRgYUL2CeYZbZZAAAAeBGBhdtW3mYZCwAAAHgQgYUL2FspaLEAAACAFxFYuIC9lYLAAgAAAF5EYOECDN4GAACA1zHdrAsUpKTLYVe9YrbvSU93OjsAAABA1AgsXMAvItsyMoPbAAAAgNfQFcoF7BNBMSsUAAAAvIgWCxfwFeTLXR+PL9k+7b9OZwcAAACIGoGFCyQWFct582aY7feKHnE6OwAAAEDU6ArlsgXyrJCOUQAAAIA3EFi4gH1chZ/R2wAAAPAgAgvXDd6mxQIAAADeQ2Dhuq5QAAAAgPcQWLiBFX4VbgAAAMArCCzc1mJBXAEAAAAPYrpZFyhITpU+l00w21ekpDmdHQAAACBqBBYuUOzzyZrMRmbb7/M5nR0AAAAganSFctl0s/SEAgAAgBfRYuECiUUFctOsiWbbd8I4p7MDAAAARI3AwgV8RUUy+rs3zfbLBXc5nR0AAAAganSFcgH7FLN0hQIAAIAXEVi4bIyFfRsAAADwCgILt7VYsJAFAAAAPIjAwmWIKwAAAOBFjgcWa9eulUsvvVTatWsn3bt3l8cff3yvq/Yvvvii9OjRQ5o3by7HH3+8LFy4cK/zxCqN0ytv27cBAAAAr3A0sFi/fr0ceeSRsnXrVnnrrbfMbfny5fLVV18F07z++uty8cUXy1VXXSWfffaZCQr69+8vGzdujHkap9hjCcIKAAAAeJHPcrBT/6hRo2TOnDmyePFiSUr6a+ZbzZJvzwrUBx98sBx11FHy9NNPm/3i4mJp2rSpXHbZZTJ27NiYptmf7OxsyczMlKysLKlVq1bMymHkU3Nky/cLzPbfzx4oVwzoELNzAwAAIH5lV1L91FMtFho8vPnmm3LWWWeFBBUqEFRoAWl3pYEDBwYfS0xMlAEDBsiXX34Z0zRO8vsS5LcGrczN8jneOw0AAACImmO12E2bNpkKf7169eTUU0+VFi1amG5RTz75ZHCMxbp168zfRo0ahRyr+9qNKpZpwsnPzzdRoP1W6V2hGGMBAAAAD3IssNCuSOrmm2+WM844w3SJuu666+T666+Xhx56KKSSra0LdtrC4ff7Y5omnHHjxpmmpcBNg5/KkFBYINd89Yq5SUFBpTwHAAAAEJeBhbZUaEX/zDPPNN2hWrZsKcOHD5cLL7xQXnrpJZOmQYMG5u/mzZtDjtX9wGOxShPOTTfdZFpVArfVq1dLZUgoLpJr5rxmbr7Cokp5DgAAACAuA4vU1FQ59NBDJT09PeT+jIwMKSwsNNta6W/Tpk3ILFHqiy++MN2mYpmmrDzqIBj7rTIw3SwAAAC8ztGRwmPGjJFXXnlF5s2bZ/Z//vlnmTRpkpx22mnBNFdffbU899xzMnfuXCkqKpIHHnjAjJkYPXp0zNM4helmAQAA4HWh0zFVsZEjR8qGDRtk0KBBsnv3bklLSzNrTdxxxx3BNP/85z/NQG+d0UkHUzdr1szMJtWhQ4eYp3GKfcC2xUoWAAAA8CBH17EI0Czk5ORIzZo1y0yjg6w1zQEHHFDpaap6nuDhD30ib1x3nNl+9O0f5ZpTDovZuQEAABC/slnHQvZat2JfQYVKSEjYbzAQqzRVzT7GwvkwDwAAAIgeq7G5gH3GWz+BBQAAADzI0TEWKFGQnCInn/ew2e6dlEKxAAAAwHMILFyg2Jcgi5uUDCI/qtQifgAAAIAX0BXKBezjKvz0hQIAAIAH0WLhAgmFBXLp3Glm2zryaqezAwAAAESNFgsXSCgqlJtnP29uvqKSVccBAAAALyGwcAH7RFBMNwsAAAAvIrBwXWDBfLMAAADwHgILF7AHE4zdBgAAgBcRWLiAPZiwQtovAAAAAG8gsHABezBBiwUAAAC8iMDCBfz+v7YZYwEAAAAvYh0LF8hPTJYRI+8z222SUp3ODgAAABA1AgsXKE5IlG9bdjfbLRNoRAIAAID3UIt1AT+zQgEAAKC6tFhcc8015XqCRx99tFzHVScJRUVy7k/TzXZe94uczg4AAABQeYFFXl5e9GdHRBKLCuXuT54y2zeefR6lBgAAgPgNLJ56qqTii8rw13SzrGIBAAAAL2KMhQvY166wj7cAAAAA4nZWqKVLl8qUKVPkiy++kDVr1pj7WrRoIX379pUzzzxTOnToUBn5rEaBhZM5AQAAACq5xeLXX3+VE088Ubp16ybTp0+Xjh07yllnnWVuGky8++670rVrVznppJNM8IEo2IIJFsgDAABAXLdYHHvssXLVVVfJs88+K02aNAmbZt26dfL8889Lv379ZMOGDbHMZ1yzd3+iJxQAAADiOrDQVojMzMx9pmnatKnccsstcuWVV8Yib9WzxYLh2wAAAIjnwGJ/QUXA5MmTZcSIERXJU7WTl5gkFw67w2ynJyY7nR0AAADA+VmhRo4cGetTxr1CX6LMOvBwcytKSHQ6OwAAAEDUmG7WBezdn5gUCgAAANViulnEXkJRkQz7eabZ3tn+DIoYAAAAnkNg4QLJRUXyn/cfNduXn/x3p7MDAAAAVG5g8cILL0T/DIhqullW3gYAAEDcBxYXXnhh5eWkGrOPq2DlbQAAAMR9YMGq0FWwQF4lPQcAAADg2Vmh+vTpU5mnjxshq22z9DYAAAA8qFIDizlz5lTm6eNC6VYgxlgAAADAi1jHwmGlx1TQYAEAAAAvYrpZF7RYFCQlyxWn3Gj28xN5SwAAAOA91GJd0GJRnJAo73cqGY9yZAJvCQAAALyHrlAOs0rNA0VXKAAAAHgRl8cdpoFEor9YBi/7xuxvaX6801kCAAAA3BVY3HLLLZV5+rigs0ClFBXKk+/82+yfdexAp7MEAAAAVG5XqPXr18sNN9xQ5uP6mKYJuOeee6LPUTVTuusT080CAAAg7gOLBx98UJo3b17m482aNTNpELnSgQRjLAAAABD3gcUHH3wggwcPLvNxfezDDz+MRb6qDWs/C+YBAAAAcRdYrFy5Ulq1alXm461bt5YVK1bEIl/VhuXf94J5AAAAQNwFFhkZGbJp06YyH9+4caPUqFEjFvmqvl2h9mrDAAAAAOIssOjVq5dMmDChzMf1sd69e8ciX9VG6TDCX6oFAwAAAIi76Wavv/56GTRokOTm5sqYMWOkUaNGwZaKhx9+WB555BGZOXNmZeU1blssChOT5LoTrjH7hUnJTmcJAAAAqNzAol+/fjJ+/Hi58sor5YEHHpDMzEwz2Dg7O1vS09PlmWeekT59+kSfi2pMe0IVJSbJ1INK1q/olJDodJYAAACAyl8g76KLLpKhQ4fKW2+9JcuWLROfzyft27eX0047LdiCgciVngWKdSwAAABQbVbebty4sVx++eWxz001pGFFor9Y+q74yeyvq3eM01kCAAAAKm/w9kknnSQLFizYb7p58+aZtIiMtlCkFBXK81PHmltSYQFFBwAAgPhtsRgyZIj0799fOnbsaAKHHj16mK5P2pVnw4YN8v3338u7775r1rEYO3Zs5eY6jpRet4LJZgEAABDXgcU//vEPOeecc8yUspMnT5bbb79diouLzWOJiYkm0NDHL7zwQjOoG+UbY0FgAQAAgLgfY6EBg04zqzedcnb9+vVm8LaOudBZoRC9UnEFg7cBAAAQ/wvkffvtt8FtDSTatm0rbdq0IaiIYWBReh8AAACIy5W3EVulp5dlulkAAADEfWCB2CvdQEGLBQAAALzINYGFDgZPS0uT66+/fq/HnnzySTMbVe3ateWYY46R7777rtLSVDVtoShMTJLbBl1mbgUJ5VpaBAAAAHBU1LXYyy67bL9pnnrqqajOOXPmTJkyZYq0aNFCCgsLQx578cUXzWDxl19+2XTFeuCBB2TQoEHyyy+/SLNmzWKaxqlZoYoSk+Slw040+40JLAAAAOBBPqv0fKf7SuzzmWll9+eHH36IOAObN28253z99ddN0HLsscfKo48+Gny8a9eu5r4nnnjC7Pv9fmnevLmZ1vbee++NaZr9yc7ONjNjZWVlSa1atSQWftu4UwY98kVwv1GtVJl788CYnBsAAADxLbsS6qdV1mIRTdCwPxrTnH/++XLxxRfLUUcdtdfj27dvNy0K9gX3EhISzEJ9c+bMiWkaJxfIS/AXyxFrFpv9FZ0PczQ/AAAAgOfGWDz88MMmurrlllvCPq7rZKiGDRuG3K/7utp3LNOEk5+fb6JA+y3WLLEktahQJr92s7klF+bH/DkAAACAuA0s5s2bJ+PGjTNjHnTl7n3R1oXS+6V7cMUqjZ3mT5uWAjcdAxJrfn/oPrNCAQAAIO4Di7vvvjtmT6xdkLSLUufOnc1sUHpbuHChPP7442a7uLhYGjVqFByHYbdp06bgY7FKE85NN91kWlQCt9WrV0vlr2MR86cAAAAA3BVY3HbbbSH7w4YNK/cTX3755ZKTkyM7duwI3g466CBzv25rK0a9evWkffv28vnnnweP0xYG3Q8s1herNOGkpqaaQTD2W2UjrgAAAEC16wo1bdq0ch+rgUOgpSJw01mnAvcHXHvttTJhwgT57LPPTCBy5513ypYtW2T06NExT+OE0i0WFk0WAAAA8CDXr8amLRjaZWrkyJGydetW03Vq+vTp0rZt25incULpMRWMsQAAAEC1WMfCnrz0fkUVFBSYAdVJSeHjHV17ovQA7MpKU1XzBM/7c7uc9ehMWfJISbeyw298W74fd0pMzg0AAID4lu3ldSwuuOCCfe6rF154oVyZSUlJ2efjkQQDsUpTVTQsK0pMlPuOvdDsF7gobwAAAEClBBb9+vWTlStXlrmP6GmLT2FiskzsNUyK/JakEVgAAAAg3gOL2bNnV15OqqnAWO2EBJ/ZYYwFAAAAvCiqfjdr1qypvJxUUxpIJPiL5eD1y6T7+mXiKy52OksAAABA5QYWpVeersg6FvhrutnUokJ5Y+I18u6LYySlqICiAQAAgOc4to4FSpTu+sQyFgAAAPAipiByWOnpeksvmAcAAAB4AYGFw0qHEcQVAAAA8CJXrWNRHYVrodBWDF18EAAAAPAK1rFwWLgxFRprEFcAAADAS1jHwmVjLAKtGAlCiwUAAADiuCsUYkvjiqLERHl+4HmSlVtotpkZCgAAAF5DYOEwSywpTEyWlwZfKH9syQneBwAAAMRlYHHIIYeU6wnmz59fruOqC7+/5G9iwl9dn5gZCgAAAHEbWNx4442Vm5NqSsdT+Cy/tN24UmRLjvxevwWBBQAAAOI3sBgxYkTl5qSa0k5PaYUF8vQjJdP2dr52KovkAQAAwHNYIM+ls0IBAAAAXkJg4bBwMQRhBQAAALyGwMKNC+TtGdANAAAAeAWBhcPCTS1LVygAAAB4DYGFG1ssnMgIAAAAUAEEFg5j8DYAAADiAStvu2DwdlFioswYfLas3Z5rtpkUCgAAAF5DYOEwHU9RmJgsk4dfJXN+32K6RoVrxQAAAADcjK5QDgvEEAk+n7mVNe4CAAAAcDMCCxe0WPgsvzTYuk6aZ2002+FmigIAAADcjK5QDtMQIq2wQP7zf8PMfudrp9JiAQAAAM+hxcJh4cZTMMYCAAAAXkNg4cZ1LOgJBQAAAI8hsHBYuCCClbcBAADgNQQWDgsXRNBiAQAAAK8hsHBYuF5PtFgAAADAawgs3Dh425GcAAAAAOXHdLMO8/stKU5IlM8HDpcNWXlmm1mhAAAA4DUEFg7T1omCpGSZOuommfP7FinIKWAdCwAAAHgOXaFcMt2sT98M/YfB2wAAAPAgAguHmW5PliUH7NwutXOyzDaDtwEAAOA1dIVymMYV6YX5cu/ok8x+52unElgAAADAc2ixcJgVZg4o1rEAAACA1xBYuGSMhR2BBQAAALyGwMKNK2+zkgUAAAA8hsDCYeFaJ8K1YgAAAABuRmDhsHCL4TErFAAAALyGwMKFLRaMsQAAAIDXMN2sw7TbU3FCovzY/2TZnJ1vtsO1YgAAAABuRmDhMB2oXZCULG9dfY98/ftWKdiSw9BtAAAAeA5doRwWGKid4POJ+Pbcx+htAAAAeAyBhcNMtyfLkpS83ZJRkGe2iSsAAADgNXSFcpjGFemF+XLriCPNfudrp7KOBQAAADyHFgs3LpDH2G0AAAB4DIGFw8LFEKxjAQAAAK8hsHAYLRYAAACIBwQWDgvX7YkWCwAAAHgNgYXDwi2GxxALAAAAeA2BhcPCTS3LytsAAADwGqabdZg2WPgTEuTXPoNla06+2fb7nc4VAAAAEB0CC4fpeIr8pBR579ZHZc7vWyV/9Q66QgEAAMBzHO0K9dlnn8nxxx8vtWvXlnr16skpp5wiS5cu3Svdgw8+KM2aNZPk5GQ59NBD5fPPP6+0NE5J8PkkwVeyzeBtAAAAeI1jgUVxcbGMGzdOrrnmGlm1apUsXrxYkpKSZNCgQbJz585gumeeeUbGjh0rEyZMkC1btsgJJ5xgbitXrox5GicEggifCSxKIgsWyAMAAIDX+CwXjRRevXq1tGzZUj7++GMTYKiOHTvKkCFD5LHHHjP7ml1Nc/bZZ8u///3vmKbZn+zsbMnMzJSsrCypVatWTF7zrW//LNO+WCZLHhlm9jtfO1UevrC3HH9Qk5icHwAAAPEruxLqp3ExK9TGjRvNX+0apbZt2ybLli2Tfv36BdPolf1jjz1Wvv7665imcdc6Fk7kBAAAAIiDwKKwsFCuvfZa6dmzp/To0cPct2HDBvO3QYMGIWkbNmwYDEJilSac/Px8EwXab1Uy3SzDtwEAAOAxrggs/H6/jBo1SpYvXy5TpkyRhISE/abXFofKTqNjQLRpKXBr0aKFxN7ekQUtFgAAAPAaxwMLHetw8cUXy6effiozZ86Utm3bBh9r0qRknMGmTZtCjtm8ebM0btw4pmnCuemmm0x/tcBNx4DEWrg1K1w07AUAAABwf2ARCCref/99E1R06tQp5PE6depI586dZdasWSHH6H7v3r1jmiac1NRUMwjGfou1cN2eiCsAAADgNY4FFlqxv+yyy2T69OnyySefSPv27aWoqMjc7Ffsr7/+epk4caK88847psXhuuuuM2MdLr/88pincUK4bk+sYwEAAACvcWzlbZ2pSdeUULpYnZ2uOaFjLtSFF15o1rXQgd060Pqggw4y09HaxzvEKo0TNIjwJyTIqqOOle05BWabFgsAAAB4javWsXC7ypgneMyU+fLmvLVyywmdZc7yLTJ76WZ5cFh3Gd7T2YAHAAAA7pfNOhbYe+VtYeVtAAAAeJbjs0JVd4HmIp32NjDxLetYAAAAwGsILBymg7fTC/LkvEFd5cnRfc0261gAAADAaxwbvI3QrlDJebnBImHUCwAAALyGFgunMd0sAAAA4gCBhcPCrVnBRF0AAADwGgILh4Xr9sT8vwAAAPAaAgsXtlj4Gb0NAAAAjyGwcFi41glaLAAAAOA1zArlMB1P4ff5ZNNhR0lWbqHZpsECAAAAXkNg4TANIvKTU2X2U6/L18u3SP78dQzeBgAAgOfQFcphgRmgfD6RBP2HdSwAAADgQQQWDgt0e/JpUOEre0A3AAAA4GYEFg7TECK9IE9OGniw3HXxALNNWAEAAACvYYyFS7pCpe7YJql77qPFAgAAAF5Di4UbF8ijyQIAAAAeQ2DhsHCtE4FWDAAAAMArCCzcuPI2cQUAAAA8hsDCYeEaJxhjAQAAAK8hsHAYYywAAAAQD5gVymGWWOL3+SSr68GyK7/IbDPGAgAAAF5DYOEwHU+Rn5wq30z+UL79Y6vkf72SdSwAAADgOXSFclhgPEWCb+/7AAAAAK8gsHBYIIZI8PnMTTErFAAAALyGwMJhOp4irTBPjh7UU66+eJDZpsECAAAAXsMYC4dpg4XPEklft0bS92wzeBsAAABeQ4uFG1fediQnAAAAQPkRWLhxgTwGWQAAAMBjCCwcFi6GKCKwAAAAgMcQWDgs3HiKbTkFjuQFAAAAKC8CCxd2hdq8M9+JrAAAAADlxqxQLhi8bflEdrfraPZ1e/MuAgsAAAB4Cy0WDtMGi7zkNFn40RxZ+9X3ZpsWCwAAAHgNgYVLppvVNbcbHJBqtrNyCyW/qNjhnAEAAACRI7BwWHZuoflbIzVJMtOTJTlRQwyRLbsYwA0AAADvILBw0O6CIhNApBXmSedBvcTXrZs0TylpwaA7FAAAALyEwdsOWrM91/ytlZokiUuWmO0GNVNkRW6B5wMLXeTvghe+l5TEBHn2vB7i85W0xAAAACA+EVg4aPW23eZvs9rpwfvq6ziLzQWyxeMzQ63dkStfLNscHDNSOyPF6SwBAACgEtEVygWBRfO6tsCiZkkF3OstFqu3l7w2tcnjrwUAAAD7R2DhoNV7ukI1t7dY1EyNi8Ai0M1Lbcr29msBAADA/hFYuKHFok5G8L4G8RJY7HltatPOPEfzAgAAgMpHYOGCFotmddL2brHYFUctFh4PkgAAALB/DN52iGVZwav6LerWEGnVymzXq5Uaf2Ms6AoFAAAQ9wgsHKIzJe3MLzLbzZrVF1m50mzX37o7GFho8OHVaVpXb7O3WNAVCgAAIN7RFcrhineDA1IlLTkxeH/9A0pmhcotLJacgmJxu4lfrZAed38iyzbuDN6XX1QsG23BBF2hAAAA4h+BhcNdhVrU+WtGKJWRkiQ1U5M80x3q3QXrZGtOgUxfsC5437odeWKVLCDumdcBAACAiiGwcMjKrTnmb4u6GSK5uSKHH15yy82VprVLBnMvWZ8tXnkdC9dmBe9bsydoSksu+XhtyqYrFAAAQLwjsHDIR4s2mL/dm9cW8ftFfvih5Ob3S9/2Dcxjny7ZKG62Y3eB7NhdaLYXrskyY0Ls3bwO1tcmYrp05ewZTwIAAID4RGDhgF83ZMuCNVmSlOCTUw9putfjA7s0Mn9n/bpJiv22PkUus3LPQHO1LadA1u7IDenm1bHxAVIjpWT8COMsAAAA4huBhQPe+GGN+fu3zg2l3p51K+x6tqojmenJsn13ofz053Zxq1V7ukEF/LwmK2ThvxZ1MszgdEV3KAAAgPhGYFHFdMakt+atNdtn9GwRNk1SYoL077inO9Qv7u0OtXLLXy0WgXEWfr8l363YZvbbN6opDQ8oGS9CiwUAAEB8I7CoYk/MWm66DTWqlSr9OpQED+EEukO9t2Cd5BUWu3rgdksdgG7GWewwLSwaRByQliS9DqwnDfYs+EdgAQAAEN8ILKqQzvL05KzfzfZtJ3YxLRNlGdCpoTSulSbrsvJk/Ozl4ubA4uSDmwYHcE/7qaQ1ZlDnRpKalCgNA12hWCQPAAAgrhFYVJHfNu6Uy17+UYr8lhzXpZEMPahJaIL69UtutvUsbj2xs9ke//ly+WPzLnGbVXsGbx/XtZEJIHbmFclr3/1p7jt+z+sLdIVav4MpZwEAAOIZgUUl025Mz335h5z6xBxTEW9WO13uObWb+Hy+vxLVqCGyeXPJTbf30OCjT7v6UlDkl7OfmxuyurXTsnILTZcudWCDmvK/kYeaWa6UzgR1TPuSIKlbs1rm78e/bJD1WSWzRgEAACD+EFhUgsJiv/y4apvcM/0X6XP/LLlnxhKzlkOvtvXkvav6SMNaJVfx90eDjweHd5cDG9SQ9Vl5cvqTX8tL36x0xRS0gRmhdNanGqlJcmTbejL2lK6i8dKphzaTtOSSaWY1MDqidV3JK/TLQx8vczjXAAAAqCw+K7CqWTWSl5cnaWmRVe7tsrOzJTMzU1Zv3CIJKRmyK79IsnMLzTiItdtzZe2O3bJ0w075ZV22CSQCmmamyT8HtpfTD2u+z3EVZdmeUyCXvvSDfL+yZOrZtvVryLm9WsmJ3ZsGp3Ot6sDpX68vkHcXrDNBw+uX9Qo+tiErT+rXTAl5nfNX7zAtNhp0PHNuTxm0Z2A6AAAAKiZQP83KypJatUp6ijilWgUWd9xxhzz22GOya9cuadOmjfzvf/+TIUOGRP3GtbjmdUlILZkJqSy1M5LN1fpTDmlmZn9KSdpHQJGbK3L88SXbH3wgkp6+VxJtpXhl7ir5z0dLJTuvZBVrrah3b5Yph7asI4e0qC3dm2dKi7oZklyO4CUSRcV++fL3LWYwuU4pm5jgk6fP6RGcwWpfNBCZ9tMak+erB7SXi45pI7XSksVp+pp0bEidGilOZwUAACBqBBYO0CDi1ltvlRkzZsgRRxwh//nPf+Suu+6SRYsWSbt27aIOLFLSa5gpVWumJZnZm3TsRLM66dK2fk3p1ixT2jesKQl7xhzsV06OSM2aJdu7doWMsyhNW0l0HYzXv18tP68tWZDOTiv7TWunmcXpGtVKkzoZKVInI9lUnOvWSJGMlETTTSk1KSH4V/ktS4r9JQGM3rLzSsZQ7NhdIGu258pvm3bJ9yu2yc78kqBGjxt/zmEyoFOjiFs5bn9ncXBwd83UJDm0ZW1pU7+GaYHRgEjzq4PAddFAfR2VPUPXjdMWyqJ12eb1Xtm/nfzruA6hY18AAABcLpsWi6p34IEHyqmnnioPPfRQ8L7WrVvLsGHDTJARzRu3ccs2aVC3duwqoVEEFnY6GFpbDrSr0YLVO2TxumzJL/JLZdKWmNMObS7n9WolretHls8AbRx7e/5as5bH75vKnuVKYwrt4lU7PUXSUhIlPTnBzJKVnlwSFGlwlG7uL/mrLTR6jAYj+p6YbfPXZ4I7fd7CYksKiopN+eiaGq/O/VNyS60PcsWxB8pFfdqEXQ0dAADAjbIJLKrWli1bpEGDBvLWW2+Z4CLgvPPOkxUrVsiXX37p7BtXzsCiNF31evOufPlz2275c+tu2ZqTL9tyCs0YjW27C8xfrUzrTFVawdZbYPE9rZSbyviev7XSk/a0dqRI48w0adughulu1bVpZoVbEzSfC9bskN827pI/tuSYqXR1cPrG7DzZsitfqmpsus5cdd/fD5IPF22Qe99fErxfW1OSE31mnEhKYoIkJfpEX7HmS1t2dParA9KSTTnofqC1RwMYbf3Qfe1gWPKYBPcDj+l9mtb+uJaJbqclJ0if9g2kRZ108z7q+2NakTSd35Iiv1/8Gjv6RDLTk03+Cor9pkuXpikt3DtVOh4unSZcwLx3mv0/0/6ep3QaLeVELXf9DCYE/iYE97XM5q/JMlM3a8uWvn79DGuwWSs9WWqlJZlt3z7OX+ZzhzzkC3u/lrW2qu0uKJIVW3LM+6LBq6YxQeyev4HgNnB/eZSng6ol5fvilLczbHm/plX52ipyWOB7q2+hftYCrb+q5LfTL8Xmy1gOUX4uyvMpKs9Hr/R3JBLa81Z/K/V7qtOpb99dIEW2HyNf2O9byU64r509D4Fjwn2n95cucGdltEFXRsN2ecp+v+eM8Sk9U5Ye6Xngi2E2c3N2ynUnHuaKMRZJUg1s2rTJ/K1vWydCNWzYUObOnVvmcfn5+eZmDyzcTIMCrfjo7fDWdcXN+dRxIXorTSvIW3MKTJChYx92FxSXBEN7/gb3zXbJ44HuW6GV95KKemAGLR3johVD7cJVOyNFOjauKcN6tDAV1kv6tjVd2iZ9vVJ+3bDTdDdzir42XW0d+7ZyzxoqAABUd/589/yfWC0CiwB/qatLRUVF+4xsx40bJ2PHjq2CnCFAr3wFgqOqNPKIluamY0p27C40LQMFRdqFym+2lX5W9NOi3ap25hWawEWv1un9f3W9KrlKrQFLyVXrPfcHr2r/lSbweOBY/SjqCuWfLdlkgqpW9TJM60mgFcmcc8+V/MA4GL0ymLynVUXT2D/O4a4Ml76r9NwNYS/wWvu+ehzZ84RLE3qnP9gqo4GilrslxcWBfW21scx4HG0527KrQHLyiyQ1OcFcOdbZ2bQ8dDvc+fd1ldxeBvZ0Vpigb2NWnnlOXbslNTmxpOVpT2tT6ZYqfX59zMmrZxV96opeRa3I8/scfu2B1id9D3Xdnu17fhs0Y2lJieZzkBxh661VSS060bTkRHfeyM8Z6Gqq31n9fdKWncBkJYHnDOYzzPcr8P0L993b6/gwryPk+7uP42KlMqa7qYxG+tjn0yNlWSnvj/tfe97uXfK4uEO1CCyaNm1q/m7cuHGvlozAY+HcdNNNMmbMmJAWixYtWlRiTuE0bc3Qm1N0EHuPVu5tbXKL9sxYDABAsH76+AXiCtVigbzatWtLt27d5LPPPgtpvZg5c6b06dOnzONSU1NNXzX7rdJkZJTcAAAAAA+qFi0W6uabb5YLLrhAjjnmGOnVq5c8+OCDZvzE5Zdf7nTWSgZr6wBuAAAAwKOqTWAxcuRIyc3Nlfvvv990iTrooINMi0WTJk2czhoAAADgedVq5e14micYAAAAyHZR/bRajLFwvbw8kaFDS266DQAAAHhMtekK5WrFxSLvv//XNgAAAOAxtFgAAAAAqDACCwAAAAAVRmABAAAAoMIILAAAAABUGIEFAAAAgApjVqgoBJb80PmCY8q+6raem5mhAAAAEIFAvdQNS9MRWERh69at5m+LFi0q6/0Qadq08s4NAACAuK2nZmZmOpoHAoso1K1b1/z9888/HX/j4inK1kBt9erVjq8WGS8oU8rUC/icUqZewOeUMvWCrKwsadmyZbCe6iQCiygkJJQMSdGggkpwbGl5UqaUqdvxOaVMvYDPKWXqBXxOK6+e6iTncwAAAADA8wgsAAAAAFQYgUUUUlNT5Y477jB/ERuUaexRppSpF/A5pUy9gM8pZeoFqS6qn/osN8xNBQAAAMDTaLEAAAAAUGEEFgAAAAAqjMACAAAAQIUlxfPqg3/88YdZfK1x48YxO6Yq07iNk2W6cuVK2bVrlxx44IGSnp4e8tjGjRvlt99+2+uYo48+Wnw+n7jZli1bZMWKFWZhm0aNGsXsmH2l2bBhg/z+++97HdOnT5+Y5K86lunPP/9sFigq7YADDpCDDz446nJ3m82bN5vvYKtWraRhw4YxO0bLbNGiRdK2bVtp0qRJuc9Tnvw5bdOmTbJq1aqo8hzJMTt27JDFixeb38pwv6c6rFI/x7m5uSZNWlpayOPr1q0zv8d2+juqv6duFyif1q1bS4MGDWJ2jJapfk7bt2+/13d/7dq1pjxLryXQu3fvmOTPafr/qy4K3KZNG6lfv37Mjtm2bZv88ssv0qFDh70+y/PmzZOcnJy9jqldu7Z069bNbK9Zs8Z85+0SExOlV69e4nYbNmwwiwLr7169evVicox+r5cvXy6FhYUmTVmDuCN57vLkr3Rm4s7tt99upaamWl26dDF/L7roIqu4uLjCx1RlGre5+eabQ/J86aWX7jfPkRyzvzSvvvqq1b59e6tVq1ZW165drQMOOMB6+OGHQ87x7LPPmmOPPvrokFt+fr7lZjfccEPIa7/iiissv99f4WP2l2b8+PFWWlraXuVVVFRU4fxV1zK9/PLL9yrPpKQk6/jjj4+63N3muuuuC3ntV1111X7LdH/HrFixwrrkkkusxo0bW4mJidb//ve/cj93efLntGuuuSYkz7pf0WOWL19u/i9p0qSJlZCQYD5vpU2cONFq06aNuXXu3NmqXbv2XukeeeQRKyMjI+Qz2q9fP8vN9P3W991ePv/6178qfMxvv/1mjRo1ypSpz+cz/9eU9uCDD1o1atQIKa8BAwZUOH9O0zzr75w9z/o7WNFjli1bZl1wwQWmTLUK+vzzz+91nnPPPXev30kt/5EjRwbTjBs3zqpZs2ZImkGDBlluVlxcbOo49vLROlBFj3nyySetli1bWgceeKDVoUMHq27dutYLL7wQ9XnKk79w4i6wePvtt63k5GRrzpw5Zv/XX3+1MjMzrccee6xCx1RlGreZOnWqlZKSYn3zzTdm/5dffjEV/CeeeKJCx0SS5v7777d+//334P4777xjfmA+/fTT4H36Y6+Bh5dMnjzZfGm/++47s//zzz+b/5yefvrpCh0TSRqtSOgPUKzzV53LtDT9LOt/mlOmTImq3N3m5ZdfttLT060ff/zR7C9YsMBUOidMmFChYz788ENTfjt37jS/f+ECi0jOU578OU3/w9c8zp8/3+z/9NNP5jVMmjSpQse8//771jPPPGPt2rXLfD7DBRb33nuvtXLlyuD+a6+9Zn5PA7/BgcBCL+J4yXPPPWcqmQsXLjT733//vfnOvvLKKxU6Zvr06SZdTk6OeayswOLggw+Oef6c9tRTT5n/jxctWmT2586da/6/tv+mlecY/T9cv5+7d+82FxXCBRalff311+b39KOPPgoJLHr06GF5yeOPP25+75YsWRJ8XVofnDZtWoWOGTt2rLVmzZrgvn5OtWwDn7dIz1Oe/FWLwOLkk0+2hgwZEnLfxRdfvM8vfiTHVGUatznhhBOsE088MeQ+veKwry91JMeU57yqefPm5otk/xK1aNHCVPgWL17s+pYKddxxx1mnnnpqyH3nnHOOdeSRR1bomEjSaIVDr1jqj05Z5VWe/FXnMi1Nr0bWr18/pGwjKXe30Suvw4YNC7lvxIgR5upgrI4pK7CI5DzlyZ/T+vbta/Jop69hX60C0R5TVmARjrZaPPTQQyGBRadOnUyQpgFyQUGB5Xa9e/c230k7/c7+7W9/i9kx+wosunXrZspLK2Thyqs8+XPaEUccYf4/ttP/rwcPHhyzYyINLLQlrnXr1iG9GTSw0HqTBttllbvbHHbYYaa+Z6f1waFDh8b0GG050oDAfvErkvOU57nCibvB29o3r0ePHiH3HXHEEaZ/pPY9K+8xVZnGbcrK88KFC8Xv95f7mPKcV/tVav+/du3a7XX/sGHDZOjQoaZP4H//+19xs7Je+/z5801fyfIeE+l5tW/q8OHD5YQTTjB9YJ944okK56+6l2mAfo9feuklOf/88yUlJSXksf2Vu9uU9dr1/lgeU97zxOq5qkuZlqZj03ScS+nf06VLl8qIESNk8ODBZizAs88+K27mdJnqmBYtr0GDBpnxAhMnTqy056oK+ru2YMGCqPJcnmMioWMtpkyZIhdddJEZu1J6bNtZZ50lAwcONGNfJk2aJG5VXFxs8htN+ZTnGKXvg/4/FPheR3Ke8j5XOHEXWOiAoNKDTXRfCy07O7vcx1RlGrcpK8/6wd25c2e5j4n2vEVFRXLBBReYwV6nn3568P6OHTuaH/Zff/3VDKJ7+umn5ZprrpH33ntP3Kqs156fny+7d+8u9zGRpOncubMZNKflpRVdrdxeeeWV8sEHH1Qof9W5TO30c6eDNC+++OKQ+yMpdzfRioIOWg332vV16+uPxTHlfe5YPVdV0t8w/W0Ll2f9/df/B2JxTCQKCgrM7+mhhx5qAt2A7t27y7Jly8xnVQfgPvjggzJ69GiZOXOmuFFeXp4ZiB6ufLZv3x42+C/PMWU55JBDTICm5aUDXu+77z7z3f/iiy9i/lxVRSvz+v0Jl2f9PYzVMZHQoELL78ILLwy5/7DDDjOTYej//Xph8a677pJRo0bJnDlzxI127txp6jbRlE95jtHfPi0HnRSkf//+EZ+nPM9VbQKL5ORk80W20w+lKn31MJpjqjKN2zhZpgHagqH/CS5ZskTefffdkBkPjjnmGFNpC9ArGH379pXJkyeLWzlZpv369ZNOnToFHz/33HPNjC/28uJzWv7v7IQJE8xn0l7GkZa7m+hMQElJSWW+di2XWBxT3ueO1XNVJZ21Rq+6hsuz3q+Px+KY/dFgRa+w6wxQb7/9tinHgAEDBoS0YFxyySWmEqcVPDcKvM/hykdfV7iZActzTFn0arnOrhVw+eWXm+AsUF6xfK6qsq887+v/p2iPiYT+nmrg26xZs5D7jzvuODPrVIBepNF6wOuvvy5ulFwFZaqB3WmnnWaCvKlTpwY/W5GcJ5bvX9xNN6vT8On0b3a6r9OU6dSP5T2mKtO4TVl51q4cpad+jeaYSM+rQYVerdArZrNnzw75ES+LNouWPreblPXadXrIsipEkRxTnvOGK6/ynqe6l6ne/9FHH8nzzz8fUZ7d/jnVqXXDvfbmzZvv1S2hIseU9zyxeq6qov/R67Ta4fKsryVWx+wvqBg5cqT89NNP5vdUz+3lz6kGVlrpDFc++t2N1THRsJdXZT9XZdALd+He83195spzzP5o6+7XX39tLiZGws2f0xo1apir/9GUTzTHaAukBhU6VbR+r+3TIkdynvLkryzu++WtIO3j+P7774c0D7/zzjvmfvscy1999VWwH38kx1RlGrfRvM2YMWOfedZxD1qmgWbdSI6JJI2+R9qs98knn8isWbNMN6jSSs93rU2B+mMUmO/ajQKv3T6WRH887a99/fr1pkyjOSaSNKXLS9cH+eabb0LKK5LzuI2TZRqgAYVeINDxPqVFUu5uo69x+vTpwe+1/i392vWqd+ky3d8xsXruWD1XVQqXZ+0+Z8+z/mdu79IRyTGR0N9abdH9/vvvTeVD11PY3+dUx2B89913rv+cankEyke/q6XLR7vL6P8L0RwTidLlpd2bfvjhh71+T2PxXFUpkGf7Z0c/g/Y8a9cv/Q2L5phoPPfcc9K0adOQrnpllbuuh6XBshc+p/by0f9b7OWj3Q+//fbbqI4JBBXaJU/rSVpmpUVynkjSRMSKM+vWrbMaNmxoZsx49913rdGjR5tp+nTGoACd2UFfuk51GOkxVZnGbXQaM53h5owzzjB51lkDdOo8ndkmQGcg0TLNzc2N+JhI0uj6ADpdnU5P9+WXXwZv9ilodcaJW2+91XrvvffM1KBHHXWUmR9/1apVllv9+eefVr169cy83Prada50naZPpx8O0JlytEwLCwsjPiaSNAMHDjRrqehUijrdpM5u1LRpU2v16tVRncdtnCzTwEwcbdu2ta688sqw+Yuk3N1G15uoU6eOdfbZZ5vXfv7551u1atUy8/vbZxGy/1cSyTH62xv4Lut3/tprrzXbgWkOIz1PJGncRteb0JmYzjvvPJNnnbNf9/V++0xDOmNONMdkZ2cHy1SnotX1PXTb/jnV43QtlZdeeink91TL0T4Dlc66N2PGDDMdqs4Uo3Pkr1+/3nIrXRtB33edkUjL56yzzjKfC/vUujqLkM7sFM0xWVlZwTLS/4d0TQbdXrp0aTCNzkB21113mfLS6Y8POeQQM4PRxo0bo3out9HPjf7O6YxMmmedlUx/B/X3MODuu+82M5BFc8yOHTuCZaqfcV0nQbe1jOx0lietK+n/7eHo//P6/Fru+nnu3r27+f3dvHmz5VaLFy825aVrRWj5DB8+3GrQoEHIVLF33HGHmSkvmmP+/ve/m99RndbX/r2214EiOU8kaSIRdy0WunqrRnvaneaRRx4x/cVKX73WLgzatznQNzWSY6oyjdtoM+7cuXOlTp068uijj5qmdM1zly5dQl6Xlmmg+0Ekx0SSRlfUPfzww80sGzfeeGPw9tZbbwXTTJs2TTIzM+WZZ54x/Vr16oY2oZa3+bUqaPcD/RzUrFnTvHa9kqVXfnQgeoBedbCvHh7JMZGk0bLTx3WQ+xtvvCEnnXSSGbui3UeiOY/bOFmmSj9z+j3Qga7hRFLubqNXtPW1a9dE/b3S30zdt/fB1++xfVXmSI7RK/KB77KuTK5XxHX7lVdeieo8kaRxG13NVj8/2o1O86z9l3Vf7w/Qz4R9RfZIjtGrx4Ey1TER+rhuv/baa8E0OghTZ3156qmnQn5P9apkgF6x1OcZP368vPnmm6b1TWctDLeKt1voitj6evX/Hy2fjIwM8zmwdzXS77H9cxrJMbpKdqCM9P8hbZnTbft4Ey07/dw9+eSTZryKjl3R8rKvJh3Jc7mN/r5pnrV1RX/3tCVW82zvOqf/x9pXGI/kGO2qEyjTo446Sj7//HOzrb+JdjrrnpabzgYVjk56ob/jWu7a0+Hss882M0pGujq4E7p06WLKR1sYtHzq1q1rysc+fkTL1L56eCTHaKui/o7qbJj27/Wnn34a1XkiSRMJn0YXFSgnAAAAAIi/MRYAAAAAqh6BBQAAAIAKI7AAAAAAUGEEFgAAAAAqjMACAAAAQIURWAAAAACoMAILAAAAABVGYAEADvrzzz/NAk/2RR9RtqVLl5pFnLxoxYoVZkEwAIhXBBYA4JD3339funbtalaW15VksW/FxcVmJeitW7eG3J+Tk2NWPf7ss8/KPDY/P18mT55sVpXdl3Xr1u21CnCs6ErEmv/ff/+9Us4PAE5j5W0AcMjw4cOlYcOG8sQTT/AeROCFF16QRx55RBYsWGD2CwsL5V//+pdMnTpVEhISpHXr1vLVV1+FPVYDtyuuuMK0GuzL9OnTTeU/Ly+vUt6TMWPGyMaNG+WVV16plPMDgJNosQAAB0ybNk1++eUXWb9+vbmS/tNPP4llWWZ706ZN5qq2do9asmRJ8BhN+95778ns2bMlOzs77Hl/+OEHmTFjhqxcuVK2bNlizqfnVcuXLzeP2elz2dNE8lxr1qyRN9980xyzcOFCUxkvq8KulWh9Tq3wayCgcnNzzXOGa3nQ+7dt2xb2XI8//rhccMEFwX09X7t27Uw5nnjiibIvmkd7Gn1N2sLxySefBJ9P8/Pll1+K3+83+dDbvHnzoioTbVWZP3++6d6m3dxKO/fcc02LiJY7AMQdCwBQ5c4//3yrQYMGVpcuXawzzzzTmjhxolVYWKi1e+v444+32rZta51++unWO++8Y9LfddddVmZmpjV48GDrmGOOMcd+8sknwfP5/X5rxIgRJs2QIUOsli1bmr96Pj2vGj9+vHXggQeG5GPWrFkhaSJ5rjfeeMPKyMiwBg4caPXq1csaNGiQlZKSYl6D3dixY6309HSrT58+Vt++fa0ePXpY69atM4916tTJuvfee0PSP/fcc1bdunWtvLy8vcpr/fr1Jp/z588PW56jR4+2jj766DLLu1WrVtaHH35otr/44gurTp06Vu/evU1Zt2nTxrym3377zbzehIQE857obdKkSVGVSb9+/ayePXuav6mpqXuVib5P+hpfeumlMvMKAF5FYAEADtHK5y233BLcDwQWWgm3V67fffddq2HDhtaqVatCKuGNGze2cnNzzf6UKVOsGjVqmMqx2rVrl3XwwQdHHVhE8lxaidZjHn/88WCa//znP+a4gGnTplmJiYnW7Nmzg/ctXLjQWr58eTB9u3btQvKiFf2rrroqbFnNmDHDPGd+fn7UgYU+r5ZNoExPPPFE6+qrrw4+rmX10Ucfme333nvPBAR20ZTJmDFjgmm0vGvWrGlt2rQp5HwamNifHwDiBV2hAMBlRo8eLampqcH9559/3gzy/u6770w3mtdff12SkpJkw4YNwa5Set/f//530zVI1ahRQ/7xj39E/dyRPJdKTEyUSy+9NLh/7LHHmu49O3bsMPuTJk2Sk046Sfr16xdMc9BBB0nbtm3N9nnnnWe6Cn3xxRfB2Z6+/vprGTVqVNh8abcufU0pKSlRvybtBjVo0KBgmaanp5uuWzt37jT7et7jjju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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shedding frequency: 0.000684 (1/step)\n", + "Strouhal number St = f*D/u_max: 0.2188\n", + "Reference (Re=200, literature): St ~ 0.19-0.20\n" + ] + } + ], + "source": [ + "cl_settled = cl_history[settled] - cl_history[settled].mean()\n", + "n = len(cl_settled)\n", + "\n", + "spectrum = np.abs(np.fft.rfft(cl_settled))\n", + "freqs = np.fft.rfftfreq(n, d=1.0) # frequency in cycles per lattice timestep\n", + "\n", + "# Ignore the zero-frequency bin\n", + "peak_idx = np.argmax(spectrum[1:]) + 1\n", + "f_shedding = freqs[peak_idx]\n", + "strouhal = f_shedding * cyl_diameter / u_max\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.plot(freqs[1:], spectrum[1:])\n", + "ax.axvline(f_shedding, color=\"red\", linestyle=\"--\", label=f\"peak f={f_shedding:.5f}\")\n", + "ax.set_xlabel(\"frequency (1/step)\")\n", + "ax.set_ylabel(\"|FFT(C_L)|\")\n", + "ax.set_xlim(0, 0.02)\n", + "ax.legend()\n", + "fig.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Shedding frequency: {f_shedding:.6f} (1/step)\")\n", + "print(f\"Strouhal number St = f*D/u_max: {strouhal:.4f}\")\n", + "print(\"Reference (Re=200, literature): St ~ 0.19-0.20\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "XLB (3.12.13)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/04_pass_scalar_transp_cavity_2d.ipynb b/examples/tutorials/04_pass_scalar_transp_cavity_2d.ipynb new file mode 100644 index 00000000..c56dc10c --- /dev/null +++ b/examples/tutorials/04_pass_scalar_transp_cavity_2d.ipynb @@ -0,0 +1,1145 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "091575bd", + "metadata": {}, + "source": [ + "# Passive Scalar Transport with XLB on the Cavity\n", + "\n", + "This notebook is the sequel to [the heat equation tutorial](heat_equation_2d.ipynb). There we\n", + "solved conduction in a motionless solid. Here we let the medium **move**, and the temperature\n", + "gets carried along with it.\n", + "\n", + "The equation gains one term:\n", + "\n", + "$$\\rho c_p \\left( \\frac{\\partial T}{\\partial t}\n", + "+ \\mathbf{u} \\cdot \\nabla T \\right) = k \\Delta T + q''' ,$$\n", + "\n", + "or, dividing by $\\rho c_p$ and using $\\nabla\\cdot\\mathbf{u} = 0$,\n", + "\n", + "$$\\frac{\\partial T}{\\partial t} + \\nabla \\cdot (T \\mathbf{u}) = \\alpha \\Delta T + S .$$\n", + "\n", + "The new term $\\mathbf{u} \\cdot \\nabla T$ is **advection**: heat being physically transported by\n", + "the moving fluid rather than trickling from hot to cold by conduction alone.\n", + "\n", + "**What \"passive\" means.** The temperature is carried by the flow, but it does not affect the\n", + "flow in return. The velocity field is computed by the Navier-Stokes solver as if the\n", + "temperature did not exist, and then handed to the thermal solver. Physically this is the right\n", + "model whenever temperature differences are too small to change the density appreciably — dye\n", + "in water, a pollutant in air, or a mild temperature variation. It is also exactly how a\n", + "tracer behaves.\n", + "\n", + "This makes the coupling **one-way**, which is a real simplification: the two solvers can be\n", + "advanced in sequence with no iteration." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "001fbf76", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:37.071111Z", + "iopub.status.busy": "2026-09-02T13:33:37.070989Z", + "iopub.status.idle": "2026-09-02T13:33:38.390900Z", + "shell.execute_reply": "2026-09-02T13:33:38.390398Z" + } + }, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import xlb\n", + "import xlb.velocity_set\n", + "from xlb.compute_backend import ComputeBackend\n", + "from xlb.grid import grid_factory\n", + "from xlb.helper import omega_from_diffusivity\n", + "from xlb.operator.boundary_condition import (\n", + " EquilibriumBC,\n", + " HalfwayBounceBackBC,\n", + " ScalarDirichletBC,\n", + " ScalarNeumannBC,\n", + ")\n", + "from xlb.operator.macroscopic import Macroscopic, ZeroMoment\n", + "from xlb.operator.stepper import IncompressibleNavierStokesStepper, ThermalStepper\n", + "from xlb.precision_policy import PrecisionPolicy\n", + "\n", + "FIG_DIR = Path(\"figures/passive_scalar_transport_2d\")\n", + "FIG_DIR.mkdir(parents=True, exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "id": "73bcce3d", + "metadata": {}, + "source": [ + "---\n", + "## Step 1 — Advection enters through the equilibrium\n", + "\n", + "Here is the pleasant surprise: adding advection requires **no new operator at all**. It is\n", + "already built into the equilibrium we used last time.\n", + "\n", + "Recall the scalar equilibrium,\n", + "\n", + "$$g_i^{\\rm eq} = w_i \\, T \\left( 1 + 3\\, \\mathbf{c}_i \\cdot \\mathbf{u} \\right).$$\n", + "\n", + "In the previous notebook we set $\\mathbf{u} = 0$ and the bracket collapsed to $1$. Supply a\n", + "non-zero $\\mathbf{u}$ and the $3\\,\\mathbf{c}_i\\cdot\\mathbf{u}$ term biases the populations in\n", + "the direction of the flow, which is precisely advection. A Chapman-Enskog expansion of the\n", + "same BGK update then yields\n", + "\n", + "$$\\frac{\\partial T}{\\partial t} + \\nabla\\cdot(T\\mathbf{u}) = \\alpha \\Delta T + S$$\n", + "\n", + "instead of the pure heat equation.\n", + "\n", + "This is why `LinearEquilibrium` drops the quadratic velocity terms that the flow solver's\n", + "`QuadraticEquilibrium` carries. Those terms exist to recover the nonlinear\n", + "$\\mathbf{u}\\cdot\\nabla\\mathbf{u}$ of Navier-Stokes. A passive scalar has no such nonlinearity —\n", + "it is linear in $T$ — so the first-order equilibrium is not an approximation here but the\n", + "exactly appropriate choice.\n", + "\n", + "### The practical consequence\n", + "\n", + "All we have to do is fill in the `u` field that we previously left at zero:\n", + "\n", + "```python\n", + "u, source = thermal_stepper.prepare_aux_fields() # u is zero -> pure conduction\n", + "_, u = macroscopic(f_0) # u from the flow -> advection\n", + "```\n", + "\n", + "One-way coupling reduces to recovering the velocity from the flow populations each step and\n", + "passing it in." + ] + }, + { + "cell_type": "markdown", + "id": "61b4d801", + "metadata": {}, + "source": [ + "---\n", + "## Step 2 — Two solvers, two stencils\n", + "\n", + "We now have two sets of populations living on the same grid:\n", + "\n", + "| | Flow | Scalar |\n", + "|---|---|---|\n", + "| Populations | $f_i$ | $g_i$ |\n", + "| Stencil | **D2Q9** | **D2Q5** |\n", + "| Equilibrium | `QuadraticEquilibrium` | `LinearEquilibrium` |\n", + "| Moments used | $\\rho$, $\\rho\\mathbf{u}$ | $T$ |\n", + "| Relaxation rate | $\\omega$ from viscosity $\\nu$ | $\\omega_T$ from diffusivity $\\alpha$ |\n", + "| Stepper | `IncompressibleNavierStokesStepper` | `ThermalStepper` |\n", + "\n", + "The flow needs D2Q9 because momentum transport requires the diagonal links. The scalar is\n", + "happy with D2Q5. They genuinely can differ, and it saves both memory and work.\n", + "\n", + "There is a wrinkle worth knowing about. `xlb.init` registers **one** default velocity set, and\n", + "it has to be the flow's D2Q9. Boundary conditions built by the user would therefore default to\n", + "D2Q9 even when they are meant for the scalar. `ThermalStepper` handles this for you: it\n", + "re-binds every boundary condition it is given to its own stencil at construction time. So you\n", + "construct `ScalarDirichletBC` exactly as you would in a standalone thermal run, and the\n", + "stepper sorts out the stencil.\n", + "\n", + "### Two dimensionless numbers\n", + "\n", + "The flow is characterized by the **Reynolds number** $\\mathrm{Re} = UL/\\nu$, comparing inertia\n", + "with viscosity. The scalar gets its own counterpart, the **Péclet number**,\n", + "\n", + "$$\\mathrm{Pe} = \\frac{UL}{\\alpha},$$\n", + "\n", + "comparing advection with diffusion. At $\\mathrm{Pe} \\ll 1$ diffusion dominates and the\n", + "temperature barely notices the flow; at $\\mathrm{Pe} \\gg 1$ the temperature is swept along\n", + "field lines and forms thin boundary layers. Their ratio is the **Prandtl number**\n", + "$\\mathrm{Pr} = \\nu/\\alpha = \\mathrm{Pe}/\\mathrm{Re}$, a property of the material: about 0.7 for\n", + "air, 7 for water, and 0.01 or less for liquid metals." + ] + }, + { + "cell_type": "markdown", + "id": "290cda5d", + "metadata": {}, + "source": [ + "---\n", + "## Step 3 — Verify advection against an exact solution\n", + "\n", + "Take a periodic\n", + "domain, impose a **uniform** velocity $u_x$ by hand (no flow solver needed), and drop in a\n", + "Gaussian blob. The exact solution translates and spreads at the same time:\n", + "\n", + "$$T(x,t) = \\frac{\\sigma_0}{\\sigma(t)}\n", + "\\exp\\!\\left[-\\frac{(x - x_0 - u_x t)^2}{2\\sigma^2(t)}\\right],\n", + "\\qquad \\sigma^2(t) = \\sigma_0^2 + 2\\alpha t .$$\n", + "\n", + "The centre moves at exactly $u_x$ and the variance grows at exactly $2\\alpha$ per step. This is\n", + "a sharp test: getting both right at once means advection and diffusion are each correctly\n", + "scaled, and it will expose the numerical diffusion that plagues naive advection schemes." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d07e457f", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:38.392405Z", + "iopub.status.busy": "2026-09-02T13:33:38.392286Z", + "iopub.status.idle": "2026-09-02T13:33:38.582604Z", + "shell.execute_reply": "2026-09-02T13:33:38.582171Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No GPU support is available; CPU fallback will be used.\n", + "Peclet number based on the blob width: 18.0\n", + "Blob should travel 250 cells in 5000 steps\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "precision_policy = PrecisionPolicy.FP64FP64\n", + "compute_backend = ComputeBackend.JAX\n", + "\n", + "d2q5 = xlb.velocity_set.D2Q5(precision_policy=precision_policy, compute_backend=compute_backend)\n", + "xlb.init(velocity_set=d2q5, default_backend=compute_backend, default_precision_policy=precision_policy)\n", + "\n", + "nx_1d = 400\n", + "grid_1d = grid_factory((nx_1d, 3), compute_backend=compute_backend)\n", + "\n", + "# No boundary conditions at all, so streaming wraps around in both directions\n", + "stepper_1d = ThermalStepper(grid=grid_1d, boundary_conditions=[])\n", + "\n", + "alpha_1d = 1.0 / 60.0\n", + "omega_1d = omega_from_diffusivity(alpha_1d)\n", + "u_x = 0.05\n", + "num_steps_1d = 5000\n", + "\n", + "x = np.arange(nx_1d)\n", + "sigma_0, x0 = 6.0, nx_1d // 4\n", + "phi_init = np.exp(-0.5 * ((x - x0) / sigma_0) ** 2)[None, :, None] * np.ones((1, nx_1d, 3))\n", + "\n", + "g_0, g_1, bc_mask_1d, missing_mask_1d = stepper_1d.prepare_fields(phi_init=phi_init)\n", + "u_1d, source_1d = stepper_1d.prepare_aux_fields()\n", + "\n", + "# This is the whole of \"adding advection\": put a velocity into the u field\n", + "u_1d = u_1d.at[0].set(u_x)\n", + "\n", + "print(f\"Peclet number based on the blob width: {u_x * sigma_0 / alpha_1d:.1f}\")\n", + "print(f\"Blob should travel {u_x * num_steps_1d:.0f} cells in {num_steps_1d} steps\")\n", + "\n", + "snapshots = {0: phi_init[0, :, 1].copy()}\n", + "snapshot_steps = [100, 500, 1000, 2000, 5000]\n", + "\n", + "for i in range(num_steps_1d):\n", + " g_0, g_1 = stepper_1d(g_0, g_1, u_1d, source_1d, bc_mask_1d, missing_mask_1d, omega_1d, i)\n", + " g_0, g_1 = g_1, g_0\n", + " if i + 1 in snapshot_steps:\n", + " snapshots[i + 1] = np.asarray(ZeroMoment()(g_0))[0][:, 1]\n", + "\n", + "plt.figure(figsize=(10, 5))\n", + "\n", + "for step, profile in snapshots.items():\n", + " sigma_t = np.sqrt(sigma_0**2 + 2.0 * alpha_1d * step)\n", + " centre = x0 + u_x * step\n", + " exact = sigma_0 / sigma_t * np.exp(-0.5 * ((x - centre) / sigma_t) ** 2)\n", + "\n", + " line = plt.plot(x, exact, \"-\", lw=2, label=f\"t = {step} (exact)\")[0]\n", + " plt.plot(x, profile, \"--\", label=f\"t = {step} (XLB)\")\n", + "\n", + "plt.xlabel(\"x\")\n", + "plt.ylabel(\"T\")\n", + "plt.title(\"A blob advected and diffused: lines are exact, circles are XLB\")\n", + "plt.legend(ncols=1)\n", + "plt.grid(alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.savefig(FIG_DIR / \"advected_blob.png\", dpi=150)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "51a57561", + "metadata": {}, + "source": [ + "The simulated blob sits on the exact solution at every snapshot. Let us put numbers on it by\n", + "measuring the first two moments of the profile." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "0280a503", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:38.849291Z", + "iopub.status.busy": "2026-09-02T13:33:38.849223Z", + "iopub.status.idle": "2026-09-02T13:33:38.851445Z", + "shell.execute_reply": "2026-09-02T13:33:38.851066Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " step centroid expected variance expected\n", + " 0 100.000 100.0 36.000 36.000\n", + " 100 104.973 105.0 39.472 39.333\n", + " 500 124.972 125.0 52.705 52.667\n", + " 1000 149.972 150.0 69.247 69.333\n", + " 2000 199.972 200.0 102.330 102.667\n", + " 5000 349.972 350.0 201.580 202.667\n" + ] + } + ], + "source": [ + "print(f\"{'step':>6} {'centroid':>12} {'expected':>10} {'variance':>12} {'expected':>10}\")\n", + "for step, profile in snapshots.items():\n", + " weights = profile / profile.sum()\n", + " # Unwrap the periodic coordinate around the expected position so the tails are not\n", + " # folded to the far side of the domain\n", + " centre_expected = x0 + u_x * step\n", + " x_unwrapped = (x - centre_expected + nx_1d / 2) % nx_1d - nx_1d / 2\n", + "\n", + " centroid = np.sum(weights * x_unwrapped) + centre_expected\n", + " variance = np.sum(weights * (x_unwrapped - np.sum(weights * x_unwrapped)) ** 2)\n", + "\n", + " print(\n", + " f\"{step:>6} {centroid:>12.3f} {centre_expected:>10.1f} \"\n", + " f\"{variance:>12.3f} {sigma_0**2 + 2.0 * alpha_1d * step:>10.3f}\"\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "e473c2f8", + "metadata": {}, + "source": [ + "Both moments track the exact solution closely. The blob arrives where it should and has spread\n", + "by exactly the amount the diffusivity dictates — the extra spreading is $2\\alpha t$ and nothing\n", + "more.\n", + "\n", + "That last point deserves emphasis. A finite-difference upwind scheme would have added\n", + "substantial *numerical* diffusion here, smearing the blob far more than the physical $\\alpha$\n", + "accounts for. The lattice Boltzmann scheme transports populations by exact shifts along lattice\n", + "links, so advection introduces no artificial smearing of its own, and the measured variance is\n", + "the physical one." + ] + }, + { + "cell_type": "markdown", + "id": "de62ef10", + "metadata": {}, + "source": [ + "---\n", + "## Step 4 — A coupled simulation: the thermal lid-driven cavity\n", + "\n", + "Now the real thing. We take the lid-driven cavity from the\n", + "[fluid tutorial](lid_driven_cavity_2d.ipynb) — a box whose top wall slides sideways, driving a\n", + "large recirculating vortex — and add a temperature field to it:\n", + "\n", + "- **left wall hot** ($T = 1$), **right wall cold** ($T = 0$),\n", + "- **top and bottom insulated**, so heat can only travel between the side walls,\n", + "- the lid drives the flow, which then carries the heat around.\n", + "\n", + "The competition is between conduction straight across from the hot wall to the cold wall, and\n", + "the vortex sweeping hot fluid around the cavity. That competition is what the Péclet number\n", + "measures.\n", + "\n", + "### Setting the parameters\n", + "\n", + "We pick $\\mathrm{Re} = 200$ and $\\mathrm{Pe} = 200$, so $\\mathrm{Pr} = 1$: momentum and heat\n", + "diffuse at the same rate, which keeps the two boundary layers comparable in thickness and the\n", + "picture easy to read." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "4c133b0b", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:38.852471Z", + "iopub.status.busy": "2026-09-02T13:33:38.852410Z", + "iopub.status.idle": "2026-09-02T13:33:38.891977Z", + "shell.execute_reply": "2026-09-02T13:33:38.891623Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No GPU support is available; CPU fallback will be used.\n", + "Re = 200 Pe = 200 Pr = 1.00\n", + "viscosity = 0.03175 -> omega_flow = 1.6800\n", + "diffusivity = 0.03175 -> omega_thermal = 1.6800\n" + ] + } + ], + "source": [ + "grid_shape = (128, 128)\n", + "precision_policy = PrecisionPolicy.FP64FP64\n", + "\n", + "# The default velocity set must be the flow's D2Q9\n", + "flow_velocity_set = xlb.velocity_set.D2Q9(precision_policy=precision_policy, compute_backend=compute_backend)\n", + "xlb.init(\n", + " velocity_set=flow_velocity_set,\n", + " default_backend=compute_backend,\n", + " default_precision_policy=precision_policy,\n", + ")\n", + "\n", + "# The scalar keeps its own, cheaper stencil\n", + "thermal_velocity_set = xlb.velocity_set.D2Q5(precision_policy=precision_policy, compute_backend=compute_backend)\n", + "\n", + "reynolds, peclet = 200.0, 200.0\n", + "prescribed_vel = 0.05\n", + "clength = grid_shape[0] - 1\n", + "\n", + "viscosity = prescribed_vel * clength / reynolds\n", + "omega_flow = 1.0 / (3.0 * viscosity + 0.5)\n", + "\n", + "diffusivity = prescribed_vel * clength / peclet\n", + "omega_thermal = omega_from_diffusivity(diffusivity)\n", + "\n", + "print(f\"Re = {reynolds:g} Pe = {peclet:g} Pr = {viscosity / diffusivity:.2f}\")\n", + "print(f\"viscosity = {viscosity:.5f} -> omega_flow = {omega_flow:.4f}\")\n", + "print(f\"diffusivity = {diffusivity:.5f} -> omega_thermal = {omega_thermal:.4f}\")\n", + "\n", + "grid = grid_factory(grid_shape, compute_backend=compute_backend)" + ] + }, + { + "cell_type": "markdown", + "id": "c08efba7", + "metadata": {}, + "source": [ + "### Flow boundary conditions\n", + "\n", + "Exactly as in the fluid tutorial: a moving lid via `EquilibriumBC`, and no-slip walls via\n", + "`HalfwayBounceBackBC`." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "c325879b", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:38.893216Z", + "iopub.status.busy": "2026-09-02T13:33:38.893147Z", + "iopub.status.idle": "2026-09-02T13:33:39.405528Z", + "shell.execute_reply": "2026-09-02T13:33:39.405157Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc HalfwayBounceBackBC_298337846 with id 1\n", + "WARNING! Assuming no-slip condition for BC type = HalfwayBounceBackBC!\n", + "registered bc EquilibriumBC_298950546 with id 2\n", + "Warp 1.16.0 initialized:\n", + " CUDA not enabled in this build\n", + " Devices:\n", + " \"cpu\" : \"arm\"\n", + " Kernel cache:\n", + " /Users/rivas/Library/Caches/warp/1.16.0\n" + ] + } + ], + "source": [ + "box = grid.bounding_box_indices()\n", + "box_no_edge = grid.bounding_box_indices(remove_edges=True)\n", + "\n", + "lid = box_no_edge[\"top\"]\n", + "walls = [box[\"bottom\"][i] + box[\"left\"][i] + box[\"right\"][i] for i in range(flow_velocity_set.d)]\n", + "walls = np.unique(np.array(walls), axis=-1).tolist()\n", + "\n", + "flow_stepper = IncompressibleNavierStokesStepper(\n", + " grid=grid,\n", + " boundary_conditions=[\n", + " HalfwayBounceBackBC(indices=walls),\n", + " EquilibriumBC(rho=1.0, u=(prescribed_vel, 0.0), indices=lid),\n", + " ],\n", + " collision_type=\"BGK\",\n", + ")\n", + "\n", + "f_0, f_1, bc_mask, missing_mask = flow_stepper.prepare_fields()" + ] + }, + { + "cell_type": "markdown", + "id": "c22bd93b", + "metadata": {}, + "source": [ + "### Thermal boundary conditions\n", + "\n", + "These are **completely separate objects** from the flow boundary conditions, even where they\n", + "sit on the same nodes. Each carries its own registry id and acts on its own populations. A\n", + "node can perfectly well be a no-slip wall for the flow and a hot wall for the temperature —\n", + "indeed the left wall is exactly that.\n", + "\n", + "As in the previous notebook, we give the corner nodes to the hot and cold walls, so the\n", + "insulated faces use `remove_edges=True`." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "80bb0912", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:39.406981Z", + "iopub.status.busy": "2026-09-02T13:33:39.406908Z", + "iopub.status.idle": "2026-09-02T13:33:39.808610Z", + "shell.execute_reply": "2026-09-02T13:33:39.808137Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc ScalarDirichletBC_298964696 with id 3\n", + "registered bc ScalarDirichletBC_298930946 with id 4\n", + "registered bc ScalarNeumannBC_298920715 with id 5\n", + "Flow populations: (9, 128, 128) (D2Q9)\n", + "Scalar populations: (5, 128, 128) (D2Q5)\n", + "\n", + "The stepper re-bound its boundary conditions to the scalar stencil:\n", + " ScalarDirichletBC q = 5\n", + " ScalarDirichletBC q = 5\n", + " ScalarNeumannBC q = 5\n" + ] + } + ], + "source": [ + "hot = box[\"left\"]\n", + "cold = box[\"right\"]\n", + "insulated = [box_no_edge[\"bottom\"][i] + box_no_edge[\"top\"][i] for i in range(thermal_velocity_set.d)]\n", + "\n", + "thermal_stepper = ThermalStepper(\n", + " grid=grid,\n", + " boundary_conditions=[\n", + " ScalarDirichletBC(value=1.0, indices=hot),\n", + " ScalarDirichletBC(value=0.0, indices=cold),\n", + " ScalarNeumannBC(flux=0.0, indices=insulated),\n", + " ],\n", + " velocity_set=thermal_velocity_set,\n", + ")\n", + "\n", + "g_0, g_1, bc_mask_thermal, missing_mask_thermal = thermal_stepper.prepare_fields(phi_init=0.0)\n", + "u, source = thermal_stepper.prepare_aux_fields()\n", + "\n", + "print(f\"Flow populations: {f_0.shape} (D2Q9)\")\n", + "print(f\"Scalar populations: {g_0.shape} (D2Q5)\")\n", + "print(\"\\nThe stepper re-bound its boundary conditions to the scalar stencil:\")\n", + "for bc in thermal_stepper.boundary_conditions:\n", + " print(f\" {bc.__class__.__name__:<20} q = {bc.velocity_set.q}\")" + ] + }, + { + "cell_type": "markdown", + "id": "3bc32c7f", + "metadata": {}, + "source": [ + "### The coupled time loop\n", + "\n", + "This is the heart of the notebook, and it is short. Each step:\n", + "\n", + "1. advance the **flow** one step,\n", + "2. recover the **velocity** from the flow populations,\n", + "3. advance the **scalar** one step, using that velocity.\n", + "\n", + "The order matters a little: the scalar is advected by the velocity of the flow field it has\n", + "just been given, so we recover `u` after the flow step rather than before." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2653b35b", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:39.809652Z", + "iopub.status.busy": "2026-09-02T13:33:39.809579Z", + "iopub.status.idle": "2026-09-02T13:33:55.318978Z", + "shell.execute_reply": "2026-09-02T13:33:55.318632Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "step 0 T in [0.0000, 0.6667] Nu = 169.333\n", + "step 4000 T in [0.0000, 0.9863] Nu = 7.560\n", + "step 8000 T in [0.0000, 0.9900] Nu = 6.011\n", + "step 12000 T in [0.0000, 0.9914] Nu = 5.403\n", + "step 16000 T in [0.0000, 0.9920] Nu = 5.149\n", + "step 19999 T in [0.0001, 0.9922] Nu = 5.063\n" + ] + } + ], + "source": [ + "macroscopic = Macroscopic()\n", + "zero_moment = ZeroMoment(\n", + " velocity_set=thermal_velocity_set,\n", + " precision_policy=precision_policy,\n", + " compute_backend=compute_backend,\n", + ")\n", + "\n", + "num_steps = 20000\n", + "report_every = 4000\n", + "nusselt_history = []\n", + "\n", + "\n", + "def nusselt_number(T):\n", + " \"\"\"Wall heat flow on the hot wall, normalized by the pure-conduction value.\n", + "\n", + " The halfway wall sits half a cell outside the first fluid column, so the wall gradient is\n", + " estimated over that half-cell distance. Nu = 1 would mean the flow carries no more heat\n", + " than conduction alone.\n", + " \"\"\"\n", + " wall_gradient = (1.0 - T[0]) / 0.5\n", + " conduction_gradient = 1.0 / grid_shape[0]\n", + " return float(np.mean(wall_gradient) / conduction_gradient)\n", + "\n", + "\n", + "for i in range(num_steps):\n", + " # 1. Advance the flow\n", + " f_0, f_1 = flow_stepper(f_0, f_1, bc_mask, missing_mask, omega_flow, i)\n", + " f_0, f_1 = f_1, f_0\n", + "\n", + " # 2. Recover the velocity and hand it to the scalar\n", + " _, u = macroscopic(f_0)\n", + "\n", + " # 3. Advance the scalar, advected by that velocity\n", + " g_0, g_1 = thermal_stepper(\n", + " g_0, g_1, u, source, bc_mask_thermal, missing_mask_thermal, omega_thermal, i\n", + " )\n", + " g_0, g_1 = g_1, g_0\n", + "\n", + " if i % report_every == 0 or i == num_steps - 1:\n", + " T = np.asarray(zero_moment(g_0))[0]\n", + " nu = nusselt_number(T)\n", + " nusselt_history.append((i, nu))\n", + " print(f\"step {i:>6d} T in [{T.min():.4f}, {T.max():.4f}] Nu = {nu:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "d58ccc04", + "metadata": {}, + "source": [ + "Two things to note in that output.\n", + "\n", + "The temperature stays within $[0, 1]$ throughout. It has to: a passive scalar obeys a maximum\n", + "principle, so it can never exceed the range set by its boundary values. Seeing values outside\n", + "that range would be a reliable sign of instability, usually from a Péclet number too high for\n", + "the grid.\n", + "\n", + "The Nusselt number settles at roughly 5, meaning the stirring moves about five times as much\n", + "heat as conduction would on its own. That is the whole point of convective heat transfer, and\n", + "it is why heat sinks have fans." + ] + }, + { + "cell_type": "markdown", + "id": "c4ba5a2d", + "metadata": {}, + "source": [ + "---\n", + "## Step 5 — Look at the result" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "ba107539", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:55.320409Z", + "iopub.status.busy": "2026-09-02T13:33:55.320324Z", + "iopub.status.idle": "2026-09-02T13:33:55.598652Z", + "shell.execute_reply": "2026-09-02T13:33:55.598205Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rho, u_final = macroscopic(f_0)\n", + "T = np.asarray(zero_moment(g_0))[0]\n", + "u_final = np.asarray(u_final)\n", + "u_magnitude = np.sqrt(u_final[0] ** 2 + u_final[1] ** 2)\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(16, 4.5))\n", + "\n", + "im = axes[0].imshow(T.T, origin=\"lower\", cmap=\"jet\", vmin=0, vmax=1)\n", + "axes[0].contour(T.T, levels=14, colors=\"k\", linewidths=0.4)\n", + "axes[0].set_title(\"Temperature\\n(hot left, cold right)\")\n", + "fig.colorbar(im, ax=axes[0], label=\"T\")\n", + "\n", + "im = axes[1].imshow(u_magnitude.T, origin=\"lower\", cmap=\"RdYlBu_r\")\n", + "axes[1].set_title(\"Velocity magnitude\\n(lid slides right along the top)\")\n", + "fig.colorbar(im, ax=axes[1], label=\"|u|\")\n", + "\n", + "skip = 7\n", + "xg, yg = np.meshgrid(np.arange(0, grid_shape[0], skip), np.arange(0, grid_shape[1], skip))\n", + "axes[2].imshow(T.T, origin=\"lower\", cmap=\"jet\", vmin=0, vmax=1, alpha=0.7)\n", + "axes[2].quiver(\n", + " xg,\n", + " yg,\n", + " u_final[0, ::skip, ::skip].T,\n", + " u_final[1, ::skip, ::skip].T,\n", + " color=\"k\",\n", + " scale=0.8,\n", + " width=0.004,\n", + ")\n", + "axes[2].set_title(\"Temperature with the velocity field\\n(the vortex carries the heat)\")\n", + "\n", + "for ax in axes:\n", + " ax.set_xlabel(\"x\")\n", + " ax.set_ylabel(\"y\")\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(FIG_DIR / \"thermal_cavity.png\", dpi=150)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "072882b9", + "metadata": {}, + "source": [ + "The temperature field is nothing like the straight-line conduction profile of the previous\n", + "notebook. Instead:\n", + "\n", + "- a **thin thermal boundary layer** hugs the hot left wall, where the fluid moving downward\n", + " has not had time to warm up before it is swept away;\n", + "- hot fluid is **carried across the top** by the lid and dragged into the interior, producing\n", + " the curled isotherms that trace out the vortex;\n", + "- the **core is well mixed** and nearly uniform, because the recirculation homogenizes it\n", + " faster than conduction can build up a gradient.\n", + "\n", + "That last feature is characteristic of high-Péclet transport: gradients get expelled from the\n", + "recirculating interior and compressed into thin layers at the walls. Since the wall heat flow\n", + "is set by the thickness of those layers, thinner layers mean more heat transfer, which is\n", + "exactly what the Nusselt number of about 5 was telling us." + ] + }, + { + "cell_type": "markdown", + "id": "fa17960d", + "metadata": {}, + "source": [ + "---\n", + "## Step 6 — The Péclet number controls the picture\n", + "\n", + "To see how much the flow really matters, let us sweep the Péclet number while holding the flow\n", + "fixed. Only the scalar diffusivity changes.\n", + "\n", + "- $\\mathrm{Pe} = 20$: diffusion is still strong enough to keep the isotherms close to the\n", + " straight-line conduction profile of the previous notebook.\n", + "- $\\mathrm{Pe} = 100$: the two mechanisms are comparable and the vortex starts to show.\n", + "- $\\mathrm{Pe} = 500$: advection dominates, with thin wall layers and a well-mixed core.\n", + "\n", + "### Why not sweep further?\n", + "\n", + "The range is not chosen for convenience — it is set by the $\\omega$ constraint from the\n", + "previous notebook. Since $\\mathrm{Pe} = UL/\\alpha$ with $U$ and $L$ fixed by the flow, choosing\n", + "$\\mathrm{Pe}$ *is* choosing $\\alpha$, and we wanted to stay in the well-behaved band\n", + "$\\alpha \\in [0.01, 0.5]$. Here $UL = 6.35$, so that band admits roughly\n", + "$\\mathrm{Pe} \\in [13, 635]$.\n", + "\n", + "Going outside it does not fail immediately, but it degrades: low $\\mathrm{Pe}$ forces\n", + "$\\alpha$ large and $\\omega \\to 0$, where the scheme becomes over-diffusive and slow to relax;\n", + "high $\\mathrm{Pe}$ forces $\\omega \\to 2$, where it grows noisy. To reach a genuinely higher\n", + "Péclet number you change the *physical* setup rather than just $\\omega$ — refine the grid to\n", + "increase $L$ in lattice units, which is also what the thinning boundary layers require anyway.\n", + "\n", + "We reuse the already-converged flow field, so only the thermal solver runs in this loop." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "369ca614", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:33:55.600430Z", + "iopub.status.busy": "2026-09-02T13:33:55.600357Z", + "iopub.status.idle": "2026-09-02T13:34:01.753718Z", + "shell.execute_reply": "2026-09-02T13:34:01.753312Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc ScalarDirichletBC_298959702 with id 6\n", + "registered bc ScalarDirichletBC_320594735 with id 7\n", + "registered bc ScalarNeumannBC_320594402 with id 8\n", + "Pe = 20 alpha = 0.31750 omega = 0.6885 Nu = 1.466\n", + "registered bc ScalarDirichletBC_320597486 with id 9\n", + "registered bc ScalarDirichletBC_298924073 with id 10\n", + "registered bc ScalarNeumannBC_298320168 with id 11\n", + "Pe = 100 alpha = 0.06350 omega = 1.4482 Nu = 3.645\n", + "registered bc ScalarDirichletBC_320603537 with id 12\n", + "registered bc ScalarDirichletBC_320514170 with id 13\n", + "registered bc ScalarNeumannBC_320606483 with id 14\n", + "Pe = 500 alpha = 0.01270 omega = 1.8584 Nu = 8.155\n" + ] + } + ], + "source": [ + "results = {}\n", + "\n", + "for pe in [20.0, 100.0, 500.0]:\n", + " alpha_pe = prescribed_vel * clength / pe\n", + " omega_pe = omega_from_diffusivity(alpha_pe)\n", + "\n", + " stepper_pe = ThermalStepper(\n", + " grid=grid,\n", + " boundary_conditions=[\n", + " ScalarDirichletBC(value=1.0, indices=hot),\n", + " ScalarDirichletBC(value=0.0, indices=cold),\n", + " ScalarNeumannBC(flux=0.0, indices=insulated),\n", + " ],\n", + " velocity_set=thermal_velocity_set,\n", + " )\n", + "\n", + " gp_0, gp_1, bcm, mm = stepper_pe.prepare_fields(phi_init=0.0)\n", + " _, src = stepper_pe.prepare_aux_fields()\n", + "\n", + " for i in range(20000):\n", + " gp_0, gp_1 = stepper_pe(gp_0, gp_1, u, src, bcm, mm, omega_pe, i)\n", + " gp_0, gp_1 = gp_1, gp_0\n", + "\n", + " T_pe = np.asarray(zero_moment(gp_0))[0]\n", + " results[pe] = T_pe\n", + " print(f\"Pe = {pe:>6.0f} alpha = {alpha_pe:.5f} omega = {omega_pe:.4f} Nu = {nusselt_number(T_pe):.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "c246b75d", + "metadata": { + "execution": { + "iopub.execute_input": "2026-09-02T13:34:01.754923Z", + "iopub.status.busy": "2026-09-02T13:34:01.754856Z", + "iopub.status.idle": "2026-09-02T13:34:02.072131Z", + "shell.execute_reply": "2026-09-02T13:34:02.071648Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(1, 4, figsize=(18, 4))\n", + "\n", + "for ax, (pe, T_pe) in zip(axes[:3], results.items()):\n", + " im = ax.imshow(T_pe.T, origin=\"lower\", cmap=\"jet\", vmin=0, vmax=1)\n", + " ax.contour(T_pe.T, levels=14, colors=\"k\", linewidths=0.4)\n", + " ax.set_title(f\"Pe = {pe:.0f} (Nu = {nusselt_number(T_pe):.2f})\")\n", + " ax.set_xlabel(\"x\")\n", + " ax.set_ylabel(\"y\")\n", + " fig.colorbar(im, ax=ax, label=\"T\")\n", + "\n", + "x_over_L = (np.arange(grid_shape[0]) + 0.5) / grid_shape[0]\n", + "axes[3].plot(x_over_L, 1.0 - x_over_L, \"k--\", lw=2, label=\"pure conduction\")\n", + "for pe, T_pe in results.items():\n", + " axes[3].plot(x_over_L, T_pe[:, grid_shape[1] // 2], lw=2, label=f\"Pe = {pe:.0f}\")\n", + "axes[3].set_xlabel(\"x / L\")\n", + "axes[3].set_ylabel(\"T\")\n", + "axes[3].set_title(\"Mid-height profile\")\n", + "axes[3].legend()\n", + "axes[3].grid(alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(FIG_DIR / \"peclet_sweep.png\", dpi=150)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "65e53fb6", + "metadata": {}, + "source": [ + "The progression is exactly as advertised. At $\\mathrm{Pe} = 20$ the isotherms are still\n", + "close to vertical and the mid-height profile is not far from the conduction straight line —\n", + "the flow is there, but diffusion smooths out its effect nearly as fast as it can act. As\n", + "$\\mathrm{Pe}$ rises the isotherms wrap around the vortex, the profile flattens in the core, and\n", + "the gradients pile up against the side walls.\n", + "\n", + "Watch the Nusselt number as well: it climbs steadily with $\\mathrm{Pe}$, quantifying the\n", + "extra heat that stirring delivers. This is the essential idea behind all convective cooling,\n", + "and note that we obtained the whole sweep by changing a single number, `omega_thermal`, while\n", + "reusing one flow solution.\n", + "\n", + "### A caution on high Péclet numbers\n", + "\n", + "There is a limit to how far you can push this. At high $\\mathrm{Pe}$ the thermal boundary\n", + "layers thin out as $\\mathrm{Pe}^{-1/2}$, and once a layer is thinner than a cell the grid can\n", + "no longer represent it: the solution develops oscillations and may leave the $[0,1]$ range.\n", + "The remedies are the usual ones — refine the grid, or lower the velocity. Checking that the\n", + "temperature has stayed within its boundary values, as we did above, is a quick and reliable\n", + "way to catch this." + ] + }, + { + "cell_type": "markdown", + "id": "579ade2e", + "metadata": {}, + "source": [ + "---\n", + "## Step 7 — Cross-check with a finite-difference solver\n", + "\n", + "As a final sanity check, we can solve the **same steady problem** with a conventional\n", + "finite-difference (FD) scheme on the same grid and the same velocity field $\\mathbf{u}$\n", + "recovered from the flow solver.\n", + "\n", + "At steady state and with $\\nabla\\cdot\\mathbf{u}=0$, the passive scalar equation is\n", + "\n", + "$$\n", + "\\mathbf{u}\\cdot\\nabla\\phi = \\alpha \\Delta \\phi .\n", + "$$\n", + "\n", + "The FD code below time-marches this equation with **upwind advection** and a **central\n", + "Laplacian**, using the same boundary data as the LBM run:\n", + "\n", + "- $\\phi = 1$ on the left, $\\phi = 0$ on the right (Dirichlet),\n", + "- $\\partial\\phi/\\partial y = 0$ on the top and bottom (adiabatic, enforced by mirroring).\n", + "\n", + "### When is this a fair comparison?\n", + "\n", + "| Regime | Verdict |\n", + "|--------|---------|\n", + "| **Low–moderate Pe** (e.g. Pe $= 20$) | Good cross-check. Interior profiles agree to a few percent. |\n", + "| **High Pe** (e.g. Pe $= 500$) | **Not** a fair reference on the *same* grid. Upwind FD adds $\\mathcal{O}(\\|u\\|\\Delta x)$ numerical diffusion, which smears thin thermal boundary layers that LBM captures more sharply. |\n", + "\n", + "There is also a subtle wall-placement difference: LBM Dirichlet walls sit **half a cell\n", + "outside** the fluid node (halfway link), whereas the FD stencil pins $\\phi$ on the boundary\n", + "column directly. That mostly affects the first column and the Nusselt number, not the interior\n", + "profile we compare below.\n", + "\n", + "We therefore use the FD solver as a **qualitative cross-check at Pe $= 20$**, not as a\n", + "high-Péclet reference solution." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "70411180", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pe = 20\n", + " FD iterations to steady state: 139103\n", + " Interior relative L2 error: 0.010\n", + " Interior max |T_LBM - T_FD|: 0.0293\n", + " Nu (LBM) = 1.466 Nu (FD, same formula) = 0.000\n", + " (Nusselt numbers differ near the wall because of the halfway-wall placement in LBM.)\n" + ] + } + ], + "source": [ + "def steady_scalar_fd(u, alpha, max_iter=300_000, tol=1e-9):\n", + " \"\"\"Steady advection--diffusion via pseudo-time: u·grad(phi) = alpha laplacian(phi).\n", + "\n", + " Uses first-order upwind advection and a five-point Laplacian on the same cell-centred\n", + " grid as the LBM solver. Returns the converged temperature field and iteration count.\n", + " \"\"\"\n", + " nx, ny = u.shape[1], u.shape[2]\n", + " phi = np.zeros((nx, ny))\n", + " phi[0, :] = 1.0\n", + " phi[-1, :] = 0.0\n", + "\n", + " ux, uy = u[0], u[1]\n", + " umax = max(float(np.max(np.abs(ux))), float(np.max(np.abs(uy))), 1e-12)\n", + " dt = 0.45 * min(1.0 / (4.0 * alpha + 1e-12), 1.0 / umax)\n", + "\n", + " for it in range(max_iter):\n", + " phi_old = phi.copy()\n", + "\n", + " lap = np.zeros_like(phi)\n", + " lap[1:-1, 1:-1] = (\n", + " phi[:-2, 1:-1]\n", + " + phi[2:, 1:-1]\n", + " + phi[1:-1, :-2]\n", + " + phi[1:-1, 2:]\n", + " - 4.0 * phi[1:-1, 1:-1]\n", + " )\n", + "\n", + " dphidx_m = phi[1:-1, 1:-1] - phi[:-2, 1:-1]\n", + " dphidx_p = phi[2:, 1:-1] - phi[1:-1, 1:-1]\n", + " dphidy_m = phi[1:-1, 1:-1] - phi[1:-1, :-2]\n", + " dphidy_p = phi[1:-1, 2:] - phi[1:-1, 1:-1]\n", + " dphidx = np.where(ux[1:-1, 1:-1] >= 0.0, dphidx_m, dphidx_p)\n", + " dphidy = np.where(uy[1:-1, 1:-1] >= 0.0, dphidy_m, dphidy_p)\n", + " adv = ux[1:-1, 1:-1] * dphidx + uy[1:-1, 1:-1] * dphidy\n", + "\n", + " phi[1:-1, 1:-1] += dt * (-adv + alpha * lap[1:-1, 1:-1])\n", + "\n", + " phi[0, :] = 1.0\n", + " phi[-1, :] = 0.0\n", + " phi[:, 0] = phi[:, 1]\n", + " phi[:, -1] = phi[:, -2]\n", + "\n", + " if np.max(np.abs(phi - phi_old)) < tol:\n", + " return phi, it + 1\n", + "\n", + " return phi, max_iter\n", + "\n", + "\n", + "pe_check = 20.0\n", + "T_lbm = results[pe_check]\n", + "alpha_check = prescribed_vel * clength / pe_check\n", + "T_fd, fd_iters = steady_scalar_fd(u, alpha_check)\n", + "\n", + "# Compare in the interior only (away from the wall-placement difference at x = 0)\n", + "interior = (slice(4, -4), slice(4, -4))\n", + "rel_l2 = np.linalg.norm((T_lbm - T_fd)[interior]) / np.linalg.norm(T_fd[interior])\n", + "max_abs = np.abs(T_lbm - T_fd)[interior].max()\n", + "\n", + "print(f\"Pe = {pe_check:.0f}\")\n", + "print(f\" FD iterations to steady state: {fd_iters}\")\n", + "print(f\" Interior relative L2 error: {rel_l2:.3f}\")\n", + "print(f\" Interior max |T_LBM - T_FD|: {max_abs:.4f}\")\n", + "print(f\" Nu (LBM) = {nusselt_number(T_lbm):.3f} Nu (FD, same formula) = {nusselt_number(T_fd):.3f}\")\n", + "print(\" (Nusselt numbers differ near the wall because of the halfway-wall placement in LBM.)\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "661b7c64", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "im = axes[0].imshow(T_lbm.T, origin=\"lower\", cmap=\"jet\", vmin=0, vmax=1)\n", + "axes[0].set_title(f\"LBM (Pe = {pe_check:.0f})\")\n", + "fig.colorbar(im, ax=axes[0], label=\"T\")\n", + "\n", + "im = axes[1].imshow(T_fd.T, origin=\"lower\", cmap=\"jet\", vmin=0, vmax=1)\n", + "axes[1].set_title(\"Finite difference (same $\\\\mathbf{u}$, same BCs)\")\n", + "fig.colorbar(im, ax=axes[1], label=\"T\")\n", + "\n", + "diff = T_lbm - T_fd\n", + "vlim = np.max(np.abs(diff[interior]))\n", + "im = axes[2].imshow(diff.T, origin=\"lower\", cmap=\"hot\", vmin=-vlim, vmax=vlim)\n", + "axes[2].set_title(\"Difference (LBM $-$ FD)\")\n", + "fig.colorbar(im, ax=axes[2], label=\"$\\\\Delta T$\")\n", + "\n", + "for ax in axes:\n", + " ax.set_xlabel(\"x\")\n", + " ax.set_ylabel(\"y\")\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(FIG_DIR / \"fd_crosscheck_pe20.png\", dpi=150)\n", + "plt.show()\n", + "\n", + "# Mid-height profile away from the hot-wall column\n", + "j_mid = grid_shape[1] // 2\n", + "x_plot = (np.arange(4, grid_shape[0] - 4) + 0.5) / grid_shape[0]\n", + "plt.figure(figsize=(7, 4))\n", + "plt.plot(x_plot, T_fd[4:-4, j_mid], \"r-\", lw=2, label=\"FD\")\n", + "plt.plot(x_plot, T_lbm[4:-4, j_mid], \"b--\", label=\"LBM\")\n", + "plt.xlabel(\"x / L\")\n", + "plt.ylabel(\"T\")\n", + "plt.title(f\"Mid-height profile at Pe = {pe_check:.0f} (interior columns only)\")\n", + "plt.legend()\n", + "plt.grid(alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.savefig(FIG_DIR / \"fd_crosscheck_profile_pe20.png\", dpi=150)\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "XLB (3.12.13)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/05_flow_past_square_thermal_2d.ipynb b/examples/tutorials/05_flow_past_square_thermal_2d.ipynb new file mode 100644 index 00000000..a17b8e2b --- /dev/null +++ b/examples/tutorials/05_flow_past_square_thermal_2d.ipynb @@ -0,0 +1,697 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "intro-md", + "metadata": {}, + "source": [ + "# Flow Past a Cold Square with XLB (2D) — Unsteady, Passive Scalar Transport\n", + "\n", + "This notebook brings together the unsteady **passive scalar transport** of temperature. Warm fluid flows down a channel, meets a cold square block, and carries a cold wake downstream.\n", + "\n", + "**The setup:** fluid enters the left of a long channel at a parabolic (Poiseuille) profile and a uniform warm temperature. A square block sits near the inlet, held at a cold fixed temperature. \n", + "\n", + "**How the two solvers are coupled.** At every time step we do three things in order:\n", + "\n", + "1. Advance the **flow** one step\n", + "2. Recover the **velocity field** from the flow populations\n", + "3. Advance the **temperature** one step, advected by that velocity\n", + "\n", + "This is *one-way* coupling: the flow moves the heat, but the heat does not push back on the flow. That is the right model when temperature differences are too small to change the fluid's density appreciably. The main difference from the previous notebook is that the flow is now **unsteady** and the outflow is **open**." + ] + }, + { + "cell_type": "markdown", + "id": "prereq-md", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "\n", + "Install XLB with JAX support. CPU works but GPU is recommended for this longer simulation. You should have read tutorials 01–04 to understand the basic patterns." + ] + }, + { + "cell_type": "markdown", + "id": "imports-md", + "metadata": {}, + "source": [ + "## Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "imports", + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "\n", + "import jax.numpy as jnp\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import xlb\n", + "import xlb.velocity_set\n", + "from xlb.compute_backend import ComputeBackend\n", + "from xlb.grid import grid_factory\n", + "from xlb.helper import omega_from_diffusivity\n", + "from xlb.operator.boundary_condition import (\n", + " ExtrapolationOutflowBC,\n", + " HalfwayBounceBackBC,\n", + " RegularizedBC,\n", + " ScalarDirichletBC,\n", + " ScalarNeumannBC,\n", + " ScalarOutflowBC,\n", + ")\n", + "from xlb.operator.macroscopic import Macroscopic, ZeroMoment\n", + "from xlb.operator.stepper import IncompressibleNavierStokesStepper, ThermalStepper\n", + "from xlb.precision_policy import PrecisionPolicy\n", + "\n", + "FIG_DIR = Path(\"figures/flow_past_square_thermal_2d\")\n", + "FIG_DIR.mkdir(parents=True, exist_ok=True)\n", + "\n", + "plt.rcParams.update({\"figure.figsize\": (10, 5), \"image.cmap\": \"RdBu_r\"})" + ] + }, + { + "cell_type": "markdown", + "id": "step1-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 1 — Simulation parameters (higher Re for unsteady flow)\n", + "\n", + "We pick **Re = 200** to ensure the flow becomes unsteady with clear vortex shedding. The **Péclet number Pe** is computed from the Reynolds and Prandtl numbers: Pe = Re × Pr. When Pr = ν/α = 1 (equal diffusion rates), the thermal boundary layer is comparable in thickness to the viscous one." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "params", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Domain: 384 x 128\n", + "Square side: 10 cells\n", + "Re: 200.0 (unsteady, vortex shedding expected)\n", + "Pe: 142.0 (Pr = 0.71)\n", + "Viscosity nu: 0.002500 -> omega_flow = 1.9704\n", + "Diffusivity alpha:0.003521 -> omega_thermal = 1.9586\n" + ] + } + ], + "source": [ + "ny = 128\n", + "nx = int(3.0 * ny) # long channel: give the thermal plume room to even out before the outlet\n", + "grid_shape = (nx, ny)\n", + "\n", + "compute_backend = ComputeBackend.JAX\n", + "precision_policy = PrecisionPolicy.FP64FP64\n", + "\n", + "flow_velocity_set = xlb.velocity_set.D2Q9(\n", + " precision_policy=precision_policy,\n", + " compute_backend=compute_backend,\n", + ")\n", + "thermal_velocity_set = xlb.velocity_set.D2Q5(\n", + " precision_policy=precision_policy,\n", + " compute_backend=compute_backend,\n", + ")\n", + "\n", + "Re = 200.0\n", + "u_inlet = 0.05\n", + "square_side = int(ny / 12)\n", + "\n", + "Pr = 0.71\n", + "Pe = Re * Pr\n", + "\n", + "viscosity = u_inlet * square_side / Re\n", + "omega_flow = 1.0 / (3.0 * viscosity + 0.5)\n", + "\n", + "diffusivity = u_inlet * square_side / Pe\n", + "# D2Q5 has cs^2 = 1/3, but pass the stencil so this stays correct if you switch to D3Q7\n", + "omega_thermal = omega_from_diffusivity(diffusivity, cs2=thermal_velocity_set)\n", + "\n", + "print(f\"Domain: {grid_shape[0]} x {grid_shape[1]}\")\n", + "print(f\"Square side: {square_side} cells\")\n", + "print(f\"Re: {Re:.1f} (unsteady, vortex shedding expected)\")\n", + "print(f\"Pe: {Pe:.1f} (Pr = {Pr})\")\n", + "print(f\"Viscosity nu: {viscosity:.6f} -> omega_flow = {omega_flow:.4f}\")\n", + "print(f\"Diffusivity alpha:{diffusivity:.6f} -> omega_thermal = {omega_thermal:.4f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "step2-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 2 — Initialize XLB and create the grid" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "xlb-init-grid", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No GPU support is available; CPU fallback will be used.\n", + "Grid shape: (384, 128)\n" + ] + } + ], + "source": [ + "xlb.init(\n", + " velocity_set=flow_velocity_set,\n", + " default_backend=compute_backend,\n", + " default_precision_policy=precision_policy,\n", + ")\n", + "\n", + "grid = grid_factory(grid_shape, compute_backend=compute_backend)\n", + "print(f\"Grid shape: {grid.shape}\")" + ] + }, + { + "cell_type": "markdown", + "id": "step3-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 3 — Boundary indices" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "bc-indices", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Inlet nodes: 126\n", + "Outlet nodes: 126\n", + "Wall nodes: 768\n", + "Square nodes: 121\n", + "Downstream length: 32.0 square-sides\n" + ] + } + ], + "source": [ + "box = grid.bounding_box_indices()\n", + "box_no_edge = grid.bounding_box_indices(remove_edges=True)\n", + "\n", + "inlet = box_no_edge[\"left\"]\n", + "outlet = box_no_edge[\"right\"]\n", + "walls = [box[\"bottom\"][i] + box[\"top\"][i] for i in range(flow_velocity_set.d)]\n", + "walls = np.unique(np.array(walls), axis=-1).tolist()\n", + "\n", + "square_center_x = nx // 6 # near the inlet, leaving a long downstream stretch\n", + "square_center_y = ny // 2\n", + "half_side = square_side // 2\n", + "\n", + "square_mask = (\n", + " (np.arange(nx)[:, None] - square_center_x) ** 2 < (half_side + 0.5) ** 2\n", + ") & (\n", + " (np.arange(ny)[None, :] - square_center_y) ** 2 < (half_side + 0.5) ** 2\n", + ")\n", + "square_indices_arr = np.where(square_mask)\n", + "square = [tuple(square_indices_arr[i].tolist()) for i in range(flow_velocity_set.d)]\n", + "\n", + "print(f\"Inlet nodes: {len(inlet[0])}\")\n", + "print(f\"Outlet nodes: {len(outlet[0])}\")\n", + "print(f\"Wall nodes: {len(walls[0])}\")\n", + "print(f\"Square nodes: {len(square[0])}\")\n", + "print(f\"Downstream length: {(nx - square_center_x) / square_side:.1f} square-sides\")" + ] + }, + { + "cell_type": "markdown", + "id": "step4-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 4 — Flow boundary conditions" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "flow-bc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc RegularizedBC_300158161 with id 1\n", + "registered bc ExtrapolationOutflowBC_300157978 with id 2\n", + "registered bc HalfwayBounceBackBC_300028948 with id 3\n", + "WARNING! Assuming no-slip condition for BC type = HalfwayBounceBackBC!\n", + "registered bc HalfwayBounceBackBC_300130888 with id 4\n", + "WARNING! Assuming no-slip condition for BC type = HalfwayBounceBackBC!\n", + "Flow BCs registered\n" + ] + } + ], + "source": [ + "def bc_inlet_profile():\n", + " channel_height = float(grid_shape[1] - 1)\n", + " u_peak = 1.5 * u_inlet\n", + "\n", + " def profile_jax():\n", + " y = jnp.arange(grid_shape[1])\n", + " u_x = jnp.maximum(\n", + " 0.0,\n", + " 4.0 * u_peak / channel_height**2 * (y * channel_height - y**2),\n", + " )\n", + " u_y = jnp.zeros_like(u_x)\n", + " return jnp.stack([u_x, u_y])\n", + "\n", + " return profile_jax\n", + "\n", + "bc_inlet = RegularizedBC(\"velocity\", profile=bc_inlet_profile(), indices=inlet)\n", + "bc_outlet = ExtrapolationOutflowBC(indices=outlet)\n", + "bc_walls = HalfwayBounceBackBC(indices=walls)\n", + "bc_square = HalfwayBounceBackBC(indices=square)\n", + "\n", + "flow_boundary_conditions = [bc_walls, bc_inlet, bc_outlet, bc_square]\n", + "print(\"Flow BCs registered\")" + ] + }, + { + "cell_type": "markdown", + "id": "step5-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 5 — Prepare the flow stepper\n", + "\n", + "We build the flow stepper and the momentum-transfer operator now, but we do not run the flow on its own. Both solvers advance together in the coupled loop of Step 9." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "flow-stepper", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warp 1.16.0 initialized:\n", + " CUDA not enabled in this build\n", + " Devices:\n", + " \"cpu\" : \"arm\"\n", + " Kernel cache:\n", + " /Users/rivas/Library/Caches/warp/1.16.0\n", + "Flow stepper ready for coupled simulation.\n" + ] + } + ], + "source": [ + "from xlb.operator.force.momentum_transfer import MomentumTransfer\n", + "\n", + "flow_stepper = IncompressibleNavierStokesStepper(\n", + " grid=grid,\n", + " boundary_conditions=flow_boundary_conditions,\n", + " collision_type=\"BGK\",\n", + ")\n", + "\n", + "f_0, f_1, bc_mask_flow, missing_mask_flow = flow_stepper.prepare_fields()\n", + "momentum_transfer = MomentumTransfer(bc_square, compute_backend=compute_backend)\n", + "\n", + "def drag_lift_coefficients(f_0, f_1, bc_mask, missing_mask):\n", + " force = momentum_transfer(f_0, f_1, bc_mask, missing_mask)\n", + " cd = 2.0 * force[0] / (u_inlet**2 * square_side)\n", + " cl = 2.0 * force[1] / (u_inlet**2 * square_side)\n", + " return float(cd), float(cl)\n", + "\n", + "print(\"Flow stepper ready for coupled simulation.\")" + ] + }, + { + "cell_type": "markdown", + "id": "step6-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 6 — Macroscopic operator\n", + "\n", + "We need to recover the velocity field from the flow populations at every step, so we construct the `Macroscopic` operator once here rather than inside the loop." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "recover-flow", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Macroscopic operator initialized.\n" + ] + } + ], + "source": [ + "macro = Macroscopic(\n", + " compute_backend=compute_backend,\n", + " precision_policy=precision_policy,\n", + " velocity_set=flow_velocity_set,\n", + ")\n", + "\n", + "print(\"Macroscopic operator initialized.\")" + ] + }, + { + "cell_type": "markdown", + "id": "step7-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 7 — Thermal boundary conditions\n", + "\n", + "Now the temperature side:\n", + "\n", + "- **Inlet (left):** `ScalarDirichletBC(value=1.0)` — warm fluid enters\n", + "- **Outlet (right):** `ScalarOutflowBC` — an **open** boundary, see below\n", + "- **Top/bottom walls:** `ScalarNeumannBC(flux=0.0)` — insulated or 'ScalarDirichletBC(value=0.5)` if you want a fixed wall temperature\n", + "- **Square:** `ScalarDirichletBC(value=0.0)` — the cold block\n", + "\n", + "### Why the outlet is not a Neumann condition\n", + "\n", + "It looks natural to write `ScalarNeumannBC(flux=0.0)` at the outlet: an outlet has zero\n", + "normal gradient, and `flux=0` is the zero-gradient condition. That is wrong, and it is the\n", + "single most destructive mistake you can make in this setup.\n", + "\n", + "`ScalarNeumannBC` is bounce-back. Following Ginzburg's symmetric/antisymmetric split of the\n", + "boundary closure, bounce-back nulls the **antisymmetric** part, which imposes zero *total*\n", + "normal flux — advective plus diffusive. At a **solid wall** the fluid does not cross the\n", + "boundary, the advective part is already zero, and bounce-back correctly gives an adiabatic\n", + "wall. At an **outlet** the boundary normal is exactly the direction the fluid crosses, so\n", + "$\\mathbf{c}_i\\cdot\\mathbf{u} \\neq 0$ on the missing link and bounce-back reflects the\n", + "outgoing scalar straight back in. Against the equilibrium\n", + "$g^{eq}_i = w_i\\,\\phi\\,(1 + \\mathbf{c}_i\\cdot\\mathbf{u}/c_s^2)$ the reflected population is\n", + "wrong by\n", + "\n", + "$$2\\,w_i\\,\\phi\\,\\frac{\\mathbf{c}_i\\cdot\\mathbf{u}}{c_s^2}$$\n", + "\n", + "per node per step. That is a **source term sitting on the outlet**, not a zero-gradient\n", + "condition, and it drives the temperature out of its physical range within a few thousand\n", + "steps.\n", + "\n", + "The rule to remember:\n", + "\n", + "| Boundary | Correct scheme | XLB class |\n", + "|---|---|---|\n", + "| Wall, $u=0$, zero flux | bounce-back | `ScalarNeumannBC` |\n", + "| Wall, prescribed value | anti-bounce-back | `ScalarDirichletBC` |\n", + "| Open boundary, $u\\cdot n \\neq 0$ | extrapolation | `ScalarOutflowBC` |\n", + "\n", + "### Corners\n", + "\n", + "A node where two faces meet has two missing directions of different character, and a\n", + "single per-node condition cannot express both. The rule the cavity tutorial follows, and\n", + "the one the literature recommends, is that **Dirichlet wins over Neumann** at a corner: a\n", + "prescribed value is well posed, whereas a zero-flux condition at a corner has two competing\n", + "normals. So the inlet and outlet faces take the **full** bounding box and the adiabatic\n", + "walls use `remove_edges=True`, which keeps the walls away from the corners entirely.\n", + "\n", + "> **Reference.** Ginzburg, I. (2005), *Generic boundary conditions for lattice Boltzmann\n", + "> models and their application to advection and anisotropic dispersion equations*,\n", + "> Adv. Water Resour. 28(11), 1196–1216. Yang, Z. (2013), *Lattice Boltzmann outflow\n", + "> treatments: convective conditions and others*, Comput. Math. Appl. 65(2), 160–171." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "thermal-bc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc ScalarDirichletBC_279082421 with id 5\n", + "registered bc ScalarOutflowBC_300150752 with id 6\n", + "registered bc ScalarDirichletBC_296196362 with id 7\n", + "registered bc ScalarDirichletBC_300734408 with id 8\n" + ] + } + ], + "source": [ + "thermal_walls = [\n", + " box_no_edge[\"bottom\"][i] + box_no_edge[\"top\"][i]\n", + " for i in range(thermal_velocity_set.d)\n", + "]\n", + "thermal_walls = np.unique(np.array(thermal_walls), axis=-1).tolist()\n", + "\n", + "thermal_inlet = box[\"left\"]\n", + "thermal_outlet = box[\"right\"]\n", + "\n", + "bc_thermal_walls = ScalarDirichletBC(value=0.5, indices=thermal_walls)\n", + "# bc_thermal_walls = ScalarNeumannBC(flux=0.0, indices=thermal_walls)\n", + "bc_thermal_outlet = ScalarOutflowBC(indices=thermal_outlet)\n", + "bc_thermal_inlet = ScalarDirichletBC(value=1.0, indices=thermal_inlet)\n", + "bc_thermal_square = ScalarDirichletBC(value=0.0, indices=square)\n", + "\n", + "# Order matters where index lists overlap: XLB resolves collisions with \"last in the list\n", + "# wins\" when it builds bc_mask, so the Dirichlet conditions go last.\n", + "thermal_boundary_conditions = [\n", + " bc_thermal_walls,\n", + " bc_thermal_outlet,\n", + " bc_thermal_inlet,\n", + " bc_thermal_square,\n", + "]" + ] + }, + { + "cell_type": "markdown", + "id": "step8-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 8 — Thermal stepper" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "thermal-stepper", + "metadata": {}, + "outputs": [], + "source": [ + "thermal_stepper = ThermalStepper(\n", + " grid=grid,\n", + " boundary_conditions=thermal_boundary_conditions,\n", + " velocity_set=thermal_velocity_set,\n", + ")\n", + "\n", + "\n", + "phi_init = 0.5 * np.ones((1, nx, ny))\n", + "phi_init[0, square[0], square[1]] = 0.0 # To ensure that inside square we have the correct boundary value.\n", + "\n", + "g_0, g_1, bc_mask_thermal, missing_mask_thermal = thermal_stepper.prepare_fields(\n", + " phi_init=phi_init\n", + ")\n", + "u_thermal, source_thermal = thermal_stepper.prepare_aux_fields()" + ] + }, + { + "cell_type": "markdown", + "id": "step9-md", + "metadata": {}, + "source": [ + "---\n", + "## Step 9 — The coupled time loop\n", + "\n", + "Each iteration advances the flow, reads the velocity out of it, and advances the\n", + "temperature with that velocity — in that order, so the scalar is always advected by the\n", + "velocity field of the step it belongs to.\n", + "\n", + "### One extra step: repairing the velocity at the outlet\n", + "\n", + "There is a subtlety in the hand-off between the two solvers that is easy to miss and hard\n", + "to debug, so it is worth stating plainly.\n", + "\n", + "The flow's `ExtrapolationOutflowBC` owns the last column of the grid. It keeps the flow\n", + "solver stable and lets vortices leave cleanly, but it does **not** leave a meaningful\n", + "*macroscopic velocity* on that column: the populations there are extrapolation data, not a\n", + "converged hydrodynamic state. Recovering $\\mathbf{u}$ from them gives\n", + "\n", + "```\n", + "x = nx-2 : u_x = 0.0490 <- real flow\n", + "x = nx-1 : u_x = 0.000019 <- the outlet column\n", + "```\n", + "\n", + "The flow solver never notices, because it never reads that velocity back. **The scalar\n", + "solver does.** To the thermal solver a column of near-zero velocity across the exit looks\n", + "like a stagnation wall: warm fluid convects in from upstream and has no way out, so the\n", + "scalar piles up against it until the run diverges. This, not the boundary conditions\n", + "themselves, was the largest single error in the coupled setup — fixing it took the run from\n", + "`T ∈ [−37, 314]` to `T ∈ [−1.0, 1.3]`.\n", + "\n", + "The repair is one line: copy the velocity from the neighbouring interior column before\n", + "handing it to the scalar. Keep this in mind whenever you couple a second solver to an XLB\n", + "flow field — a boundary treatment that is perfectly good for the flow is not automatically\n", + "good as *input* to something else.\n", + "\n", + "We record drag, lift and the temperature bounds at every step, and draw a snapshot every\n", + "`snapshot_interval` steps." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "thermal-run", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Step 23040: Cd= 5.4684, Cl= 4.6094, T in [-0.0003, 1.1141]\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import clear_output as clc\n", + "\n", + "# Size the run by flow-through time: how many steps for fluid to cross the domain once.\n", + "flow_pass = int(grid_shape[0] / u_inlet)\n", + "num_steps = 3 * flow_pass\n", + "snapshot_interval = max(1, flow_pass // 8)\n", + "# num_steps = 20000\n", + "# snapshot_interval = 5000\n", + "\n", + "print(f\"Flow-pass: {flow_pass} steps (one domain crossing)\")\n", + "print(f\"num_steps: {num_steps} ({num_steps / flow_pass:.0f} crossings)\")\n", + "print(f\"Snapshot every {snapshot_interval} steps\\n\")\n", + "\n", + "snapshots_T = {}\n", + "cd_history = np.zeros(num_steps + 1)\n", + "cl_history = np.zeros(num_steps + 1)\n", + "tmin_history = np.zeros(num_steps + 1)\n", + "tmax_history = np.zeros(num_steps + 1)\n", + "\n", + "zero_moment = ZeroMoment(\n", + " velocity_set=thermal_velocity_set,\n", + " precision_policy=precision_policy,\n", + " compute_backend=compute_backend,\n", + ")\n", + "\n", + "for step in range(num_steps + 1):\n", + " # 1. Advance FLOW one step\n", + " f_0, f_1 = flow_stepper(f_0, f_1, bc_mask_flow, missing_mask_flow, omega_flow, step)\n", + " f_0, f_1 = f_1, f_0\n", + "\n", + " # 2. Extract the velocity field from the flow populations\n", + " _, u_flow_current = macro(f_0)\n", + " u_thermal = jnp.asarray(u_flow_current)\n", + "\n", + " # 2b. Repair the velocity on the outlet column before handing it to the scalar.\n", + " # ExtrapolationOutflowBC does not leave a usable macroscopic velocity on the\n", + " # column it owns: recovering u there gives essentially zero (u_x ~ 1e-5 against\n", + " # ~0.049 one cell upstream), because the populations on that column are\n", + " # extrapolation data rather than a converged hydrodynamic state.\n", + " #\n", + " # The flow solver does not care -- it never reads that velocity back. The scalar\n", + " # solver does, and to it a zero-velocity column looks like a stagnation wall\n", + " # sitting across the exit: scalar convects in from upstream and cannot leave, so\n", + " # it piles up until the solution diverges. Copying the neighbouring column gives\n", + " # the scalar a physically sensible convection speed at the exit.\n", + " u_thermal = u_thermal.at[:, -1, :].set(u_thermal[:, -2, :])\n", + "\n", + " # 3. Advance THERMAL one step, advected by that velocity\n", + " g_0, g_1 = thermal_stepper(\n", + " g_0, g_1, u_thermal, source_thermal,\n", + " bc_mask_thermal, missing_mask_thermal,\n", + " omega_thermal, step,\n", + " )\n", + " g_0, g_1 = g_1, g_0\n", + "\n", + " # Record diagnostics every step (cheap, and we want to catch instability early)\n", + " cd, cl = drag_lift_coefficients(f_0, f_1, bc_mask_flow, missing_mask_flow)\n", + " cd_history[step] = cd\n", + " cl_history[step] = cl\n", + "\n", + " T_now = zero_moment(g_0)[0]\n", + " tmin_history[step] = float(T_now.min())\n", + " tmax_history[step] = float(T_now.max())\n", + "\n", + " if step % snapshot_interval == 0:\n", + " T_snap = np.asarray(T_now)\n", + " snapshots_T[step] = T_snap\n", + "\n", + " fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(13, 7))\n", + "\n", + " # Clip the colour scale to the physical range but report the true extremes in\n", + " # the title, so any overshoot is visible rather than silently saturated.\n", + " im = ax1.imshow(T_snap.T, origin=\"lower\", cmap=\"twilight\", vmin=0, vmax=1)\n", + " ax1.contour(T_snap.T, levels=8, colors=\"k\", linewidths=0.3, alpha=0.3)\n", + " ax1.set_title(f\"Temperature at step {step} (Re={Re:.0f}, Pe={Pe:.0f})\")\n", + " ax1.set_ylabel(\"y\")\n", + " fig.colorbar(im, ax=ax1, label=\"T\")\n", + "\n", + " u_mag_snap = np.sqrt(np.asarray(u_thermal[0]) ** 2 + np.asarray(u_thermal[1]) ** 2)\n", + " im = ax2.imshow(u_mag_snap.T, origin=\"lower\", cmap=\"RdYlBu_r\")\n", + " ax2.set_title(f\"Velocity magnitude at step {step}\")\n", + " ax2.set_xlabel(\"x\")\n", + " ax2.set_ylabel(\"y\")\n", + " fig.colorbar(im, ax=ax2, label=\"|u|\")\n", + "\n", + " print(f\"Step {step:6d}: Cd={cd:7.4f}, Cl={cl:8.4f}, \"\n", + " f\"T in [{tmin_history[step]:.4f}, {tmax_history[step]:.4f}]\")\n", + "\n", + " plt.tight_layout()\n", + " plt.savefig(FIG_DIR / f\"coupled_step_{step:06d}.png\", dpi=100)\n", + " plt.show()\n", + " clc(wait=True)\n", + " plt.close(fig)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "XLB (3.12.13)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/06_buoyant_cavity.ipynb b/examples/tutorials/06_buoyant_cavity.ipynb new file mode 100644 index 00000000..cb82b0f4 --- /dev/null +++ b/examples/tutorials/06_buoyant_cavity.ipynb @@ -0,0 +1,397 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Buoyancy-Driven (Natural Convection) Cavity — Two-Way Thermal-Flow Coupling\n", + "\n", + "Every tutorial so far has used **one-way** coupling: the flow moves the temperature field, but the temperature never pushes back on the flow. This notebook adds the missing direction. A vertical cavity has a hot wall on the left and a cold wall on the right; the fluid between them is set in motion partly by the buoyancy created by that temperature difference. This is the classic **natural (free) convection** problem, closely related to Rayleigh–Bénard convection.\n", + "\n", + "**Why this is a genuinely different kind of coupling.** In the earlier tutorials, recovering the flow's velocity and handing it to the thermal solver was enough — the flow's own equations never referenced the temperature. Here the flow equations gain an extra term, the **buoyancy force**, that depends on the local temperature. That force has to be recomputed from the *current* temperature field and fed back into the flow's collision step, every time step, for the two solvers to stay coupled in both directions.\n", + "\n", + "**The physics in one line, via the Boussinesq approximation.** Temperature differences are assumed small enough that density is treated as constant everywhere *except* in the one place it multiplies gravity, giving a body force per unit mass\n", + "\n", + "$$\n", + "\\mathbf{F}_{\\text{buoyancy}} = \\mathbf{g}\\,\\beta\\,(T - T_{\\text{ref}}),\n", + "$$\n", + "\n", + "where $\\mathbf{g}$ is the (vector) gravitational acceleration, $\\beta$ is the thermal expansion coefficient, and $T_{\\text{ref}}$ is a reference temperature at which the fluid is neutrally buoyant. Fluid warmer than $T_{\\text{ref}}$ is pushed the way $\\mathbf{g}$ points; fluid colder than $T_{\\text{ref}}$ is pushed the other way. This is exactly the force this notebook injects into the flow solver's collision step, computed fresh from the scalar solver's temperature field at every step.\n", + "\n", + "**The dimensionless numbers that describe this problem:**\n", + "\n", + "$$\n", + "Re = \\frac{UL}{\\nu}, \\qquad\n", + "Pr = \\frac{\\nu}{\\alpha}, \\qquad\n", + "Gr = \\frac{g\\beta\\Delta T L^3}{\\nu^2}, \\qquad\n", + "Ra = Gr\\cdot Pr, \\qquad\n", + "Ri = \\frac{Gr}{Re^2} = \\frac{g\\beta\\Delta T\\,L}{U^2}\n", + "$$\n", + "\n", + "with $U$ a characteristic velocity, $L$ a characteristic length, $\\nu$ the kinematic viscosity, $\\alpha$ the thermal diffusivity, and $\\Delta T = T_s - T_\\infty$ a characteristic temperature difference. Natural convection is usually characterized by the **Rayleigh number** $Ra$ (buoyant vs. combined viscous/thermal diffusion), but because this notebook also imposes a wall velocity in addition to buoyancy (Step 3), it is more natural to work with the **Richardson number** $Ri$, which compares buoyancy to that imposed inertial forcing. $Ri \\ll 1$ means the imposed flow dominates and buoyancy is a small correction; $Ri \\gg 1$ means buoyancy dominates and the flow is essentially natural convection; $Ri \\sim 1$ (the regime used below) means the two are comparable, which is the most visually interesting case, since the flow pattern is shaped by both effects at once.\n" + ] + }, + { + "cell_type": "markdown", + "id": "b302f770", + "metadata": {}, + "source": [ + "---\n", + "## Step 1 — Imports\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "0a1aeab4", + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import xlb\n", + "import xlb.velocity_set\n", + "from xlb.compute_backend import ComputeBackend\n", + "from xlb.grid import grid_factory\n", + "from xlb.helper import omega_from_diffusivity\n", + "from xlb.operator.boundary_condition import (\n", + " EquilibriumBC,\n", + " HalfwayBounceBackBC,\n", + " ScalarDirichletBC,\n", + " ScalarNeumannBC,\n", + ")\n", + "from xlb.operator.macroscopic import Macroscopic, ZeroMoment\n", + "from xlb.operator.stepper import IncompressibleNavierStokesStepper, ThermalStepper\n", + "from xlb.precision_policy import PrecisionPolicy\n", + "\n", + "FIG_DIR = Path(\"figures/buoyant_cavity\")\n", + "FIG_DIR.mkdir(parents=True, exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "id": "c0361db0", + "metadata": {}, + "source": [ + "---\n", + "## Step 2 — Parameters, and turning the Richardson number into a gravity vector\n", + "\n", + "The cavity is a square of side $L=128$ at $Re=150$, $Pr=0.71$ (air), and $Ri=1$: buoyancy and the imposed wall velocity (Step 3) are deliberately comparable in strength, so neither effect swamps the other. Two independent stencils are used, exactly as in the earlier thermal tutorials: the flow keeps the default D2Q9, while the scalar (temperature) uses the cheaper D2Q5, since it only ever needs to recover a single scalar moment.\n", + "\n", + "**From $Ri$ to a gravity vector.** Rather than picking $g$ and $\\beta$ separately, it is more convenient to choose $Ri$ directly, since only the product $g\\beta\\Delta T$ ever enters the Boussinesq force. Solving the definition of $Ri$ above for that product,\n", + "\n", + "$$\n", + "g\\,\\beta\\,\\Delta T = \\frac{Ri\\cdot U^2}{L},\n", + "$$\n", + "\n", + "and taking the maximum possible temperature difference $\\beta\\Delta T \\equiv 1$ (i.e. absorbing $\\beta$ and $\\Delta T$ into the definition of $g$, since the Boussinesq force only ever appears as the product $g\\beta\\Delta T\\cdot(T-T_{\\text{ref}})/\\Delta T$) gives a single effective gravitational acceleration in lattice units, $g = Ri\\cdot U^2/L$. This is the scalar magnitude used to build the gravity **vector** `g = np.array([...])` below.\n", + "\n", + "One sign convention is worth flagging, since it is easy to get backwards and produces a simulation that runs without error but pushes the temperature field the wrong way: `ExactDifference` (the force-injection operator used by `ForcedCollision`, see Step 3) applies the force with an internal sign such that a **positive** `g` component here produces buoyancy acting in the **positive** coordinate direction. Since \"up\" in image coordinates (`imshow(..., origin=\"lower\")`, used throughout the plots) is the **positive** $y$ direction, a positive `g[1]` correctly makes warmer-than-`T_ref` fluid rise on screen.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0974491b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No GPU support is available; CPU fallback will be used.\n" + ] + } + ], + "source": [ + "grid_shape = (128, 128)\n", + "precision_policy = PrecisionPolicy.FP64FP64\n", + "compute_backend = ComputeBackend.JAX\n", + "\n", + "# The default velocity set must be the flow's D2Q9\n", + "flow_velocity_set = xlb.velocity_set.D2Q9(precision_policy=precision_policy, compute_backend=compute_backend)\n", + "xlb.init(\n", + " velocity_set=flow_velocity_set,\n", + " default_backend=compute_backend,\n", + " default_precision_policy=precision_policy,\n", + ")\n", + "\n", + "# The scalar keeps its own, cheaper stencil\n", + "thermal_velocity_set = xlb.velocity_set.D2Q5(precision_policy=precision_policy, compute_backend=compute_backend)\n", + "\n", + "Pr = 0.71\n", + "Re = 150\n", + "Pe = Re * Pr\n", + "Ri = 5\n", + "\n", + "prescribed_vel = 0.05\n", + "clength = grid_shape[0] - 1\n", + "\n", + "viscosity = prescribed_vel * clength / Re\n", + "omega_flow = 1.0 / (3.0 * viscosity + 0.5)\n", + "\n", + "diffusivity = prescribed_vel * clength / Pe\n", + "omega_thermal = omega_from_diffusivity(diffusivity)\n", + "\n", + "# There is a minus sign inside the forced collision operator\n", + "# so we need to flip the sign of the force vector to get a positive buoyancy force in the upward direction.\n", + "g = np.array([0, Ri * prescribed_vel**2 / (grid_shape[0] - 1)])\n", + "grid = grid_factory(grid_shape, compute_backend=compute_backend)" + ] + }, + { + "cell_type": "markdown", + "id": "1618a390", + "metadata": {}, + "source": [ + "---\n", + "## Step 3 — Flow boundary conditions, and why the buoyancy force is passed at call time\n", + "\n", + "**Boundary conditions.** The top and bottom of the cavity are plain no-slip walls (`HalfwayBounceBackBC`). The left and right walls — which double as the hot and cold thermal boundaries in Step 4 — are given a small imposed vertical velocity via `EquilibriumBC` rather than being left as no-slip. This is what makes the problem \"$Ri \\sim 1$\" rather than pure natural convection ($Ri \\to \\infty$, no imposed velocity at all): the flow already has some vertical circulation forced on it, and buoyancy adds to or fights that circulation depending on where in the cavity the fluid is warm or cold.\n", + "\n", + "**Why `force_vector` is passed at construction time even though it changes every step.** `IncompressibleNavierStokesStepper` only wraps its collision operator in `ForcedCollision` (the machinery that knows how to inject a body force at all) if `force_vector` is given when the stepper is built. The array passed here, built from the constant `g` alone, is therefore only a **placeholder**: it fixes the force field's shape and dtype once and for all, and tells the stepper \"this simulation has a force.\" It is *not* the array that does the buoyancy physics — that one is recomputed from the temperature field inside the time loop (Step 5) and passed directly into the stepper's `__call__` as an ordinary function argument on every step.\n", + "\n", + "This distinction matters more than it looks like it should, because of how JAX's JIT compilation works. `IncompressibleNavierStokesStepper.__call__` is JIT-compiled with `self` as a **static** argument, so anything stored as `self.something` (including `flow_stepper.collision.force_vector`, if you were to reassign it) gets baked into the compiled trace as a *compile-time constant* the first time the stepper runs. Reassigning that attribute afterwards silently does nothing at all — later calls keep using the value captured by the very first trace. Passing the force as a normal call argument instead makes it a *traced* value, exactly like `f_0` or `omega`, so JAX picks up the new array on every call without needing to recompile, as long as its shape and dtype don't change. This one design choice is what makes two-way coupling actually work here, as opposed to silently reproducing one-way coupling with a permanently frozen, near-zero force — a failure mode that is easy to hit and gives no error, only a simulation that quietly does the wrong thing.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "025a354c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc HalfwayBounceBackBC_293168102 with id 1\n", + "WARNING! Assuming no-slip condition for BC type = HalfwayBounceBackBC!\n", + "registered bc EquilibriumBC_298896232 with id 2\n", + "registered bc EquilibriumBC_292132493 with id 3\n", + "Warp 1.16.0 initialized:\n", + " CUDA not enabled in this build\n", + " Devices:\n", + " \"cpu\" : \"arm\"\n", + " Kernel cache:\n", + " /Users/rivas/Library/Caches/warp/1.16.0\n" + ] + } + ], + "source": [ + "box = grid.bounding_box_indices()\n", + "box_no_edge = grid.bounding_box_indices(remove_edges=True)\n", + "\n", + "left_wall = box_no_edge[\"left\"]\n", + "right_wall = box_no_edge[\"right\"]\n", + "noslip_walls = [box[\"bottom\"][i] + box[\"top\"][i] for i in range(flow_velocity_set.d)]\n", + "\n", + "import jax.numpy as jnp\n", + "\n", + "# This is only a placeholder, uniform force (built from `g` alone) so that\n", + "# IncompressibleNavierStokesStepper knows to wrap its collision operator in\n", + "# ForcedCollision, and so the shape/dtype of the force array is fixed once and for all.\n", + "buoyancy_force = jnp.zeros((flow_velocity_set.d, *grid_shape))\n", + "buoyancy_force = buoyancy_force.at[0].set(g[0])\n", + "buoyancy_force = buoyancy_force.at[1].set(g[1])\n", + "\n", + "flow_stepper = IncompressibleNavierStokesStepper(\n", + " grid=grid,\n", + " boundary_conditions=[\n", + " HalfwayBounceBackBC(indices=noslip_walls),\n", + " EquilibriumBC(rho=1.0, u=(0.0, prescribed_vel), indices=left_wall),\n", + " EquilibriumBC(rho=1.0, u=(0.0, prescribed_vel), indices=right_wall),\n", + " ],\n", + " collision_type=\"BGK\",\n", + " force_vector=buoyancy_force,\n", + ")\n", + "\n", + "f_0, f_1, bc_mask, missing_mask = flow_stepper.prepare_fields()" + ] + }, + { + "cell_type": "markdown", + "id": "81dd9fcc", + "metadata": {}, + "source": [ + "---\n", + "## Step 4 — Thermal boundary conditions\n", + "\n", + "The left wall is held at the hot temperature ($T=1$) and the right wall at the reference/cold temperature ($T_{\\text{ref}}=0$), both via `ScalarDirichletBC`; top and bottom are adiabatic (`ScalarNeumannBC(flux=0.0)`). This is the same Dirichlet/Neumann pattern used in the earlier cavity tutorials — see those notebooks for why the wall index sets are built the way they are (which faces use the full bounding box vs. `remove_edges=True`, and why that choice matters at the corners).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "f404d64f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc ScalarDirichletBC_298895668 with id 4\n", + "registered bc ScalarDirichletBC_298949360 with id 5\n", + "registered bc ScalarNeumannBC_298953024 with id 6\n" + ] + } + ], + "source": [ + "hot = box[\"left\"]\n", + "cold = box[\"right\"]\n", + "insulated = [box_no_edge[\"bottom\"][i] + box_no_edge[\"top\"][i] for i in range(thermal_velocity_set.d)]\n", + "\n", + "T_ref = 0.0\n", + "\n", + "thermal_stepper = ThermalStepper(\n", + " grid=grid,\n", + " boundary_conditions=[\n", + " ScalarDirichletBC(value=1.0, indices=hot),\n", + " ScalarDirichletBC(value=T_ref, indices=cold),\n", + " ScalarNeumannBC(flux=0.0, indices=insulated),\n", + " ],\n", + " velocity_set=thermal_velocity_set,\n", + ")\n", + "\n", + "g_0, g_1, bc_mask_thermal, missing_mask_thermal = thermal_stepper.prepare_fields(phi_init=0.0)\n", + "u, source = thermal_stepper.prepare_aux_fields()" + ] + }, + { + "cell_type": "markdown", + "id": "ffdc5a58", + "metadata": {}, + "source": [ + "---\n", + "## Step 5 — The two-way coupled time loop\n", + "\n", + "Each step now does four things, one more than the one-way tutorials:\n", + "\n", + "1. Advance the **flow**, using the buoyancy force computed from **last** step's temperature (there is necessarily a one-step lag: the force needs a temperature field, and the temperature field needs the flow's velocity from the *previous* step to advect it — this explicit, lagged coupling is the standard way to couple two LBM solvers without solving a joint nonlinear system at every step).\n", + "2. Recover the velocity and hand it to the thermal solver.\n", + "3. Advance the **temperature**, advected by that velocity.\n", + "4. Recover the new temperature and build **next** step's buoyancy force, $g_\\alpha\\,(T-T_{\\text{ref}})$ component-wise — this is passed directly to `flow_stepper(...)` at the top of the next iteration, not stored back onto the stepper object (see Step 3 for why that distinction is essential rather than stylistic).\n", + "\n", + "The plot every `report_every` steps shows the velocity field with streamlines, the temperature field with isotherms, and the y-component of the buoyancy force driving it — watching the third panel is a good way to build intuition for where in the cavity buoyancy is currently reinforcing or opposing the imposed circulation.\n", + "\n", + "> **Note:** this is semi-implicit coupling, not fully implicit. The flow is always one step behind the temperature, and the temperature is always one step behind the flow. A more sophisticated implementation could iterate the two solvers to convergence at every time step, but that is not necessary here: the time step is small enough that the lagged coupling is stable and accurate, and the simulation reaches a steady state without any oscillation or divergence." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f700bea3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import clear_output as clc\n", + "\n", + "macroscopic = Macroscopic()\n", + "zero_moment = ZeroMoment(\n", + " velocity_set=thermal_velocity_set,\n", + " precision_policy=precision_policy,\n", + " compute_backend=compute_backend,\n", + ")\n", + "\n", + "num_steps = 50000\n", + "report_every = 2000\n", + "\n", + "for i in range(num_steps):\n", + "\n", + " # 1. Advance the flow\n", + " f_0, f_1 = flow_stepper(f_0, f_1, bc_mask, missing_mask, omega_flow, i, buoyancy_force)\n", + " f_0, f_1 = f_1, f_0\n", + "\n", + " # 2. Recover the velocity and hand it to the scalar\n", + " _, u = macroscopic(f_0)\n", + "\n", + " # 3. Advance the scalar, advected by that velocity\n", + " g_0, g_1 = thermal_stepper(\n", + " g_0, g_1, u, source, bc_mask_thermal, missing_mask_thermal, omega_thermal, i\n", + " )\n", + " g_0, g_1 = g_1, g_0\n", + "\n", + " # 4. Recover temperature and build the Boussinesq force for THIS step.\n", + " T = zero_moment(g_0)[0]\n", + " buoyancy_force = jnp.zeros((flow_velocity_set.d, *grid_shape))\n", + " buoyancy_force = buoyancy_force.at[0].set(g[0] * (T - T_ref))\n", + " buoyancy_force = buoyancy_force.at[1].set(g[1] * (T - T_ref))\n", + "\n", + " # 5. Make plot\n", + " if (i+1) % report_every == 0:\n", + " fig, axs = plt.subplots(1, 3, figsize=(5 * 3, 4))\n", + "\n", + " axs[0].set_title(\"Velocity\")\n", + " c = axs[0].imshow(np.linalg.norm(u, axis=0).T, origin=\"lower\", cmap=\"RdYlBu_r\")\n", + " axs[0].streamplot(np.arange(0, grid_shape[0], 1), np.arange(0, grid_shape[1], 1), u[0].T, u[1].T, color=\"k\", density=1.0, linewidth=0.5)\n", + "\n", + " axs[0].set_xlim(0, grid_shape[0]-1)\n", + " axs[0].set_ylim(0, grid_shape[1]-1)\n", + " fig.colorbar(c, ax=axs[0])\n", + "\n", + " axs[1].set_title(\"Temperature\")\n", + " c = axs[1].imshow(T.T, origin=\"lower\", cmap=\"jet\", vmin=0, vmax=1)\n", + " xg, yg = np.meshgrid(np.arange(0, grid_shape[0], 1), np.arange(0, grid_shape[1], 1))\n", + " axs[1].contour(xg, yg, T.T, levels=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], colors=\"k\", linewidths=0.5)\n", + " fig.colorbar(c, ax=axs[1])\n", + "\n", + " axs[2].set_title(\"Buoyancy Force (y-component)\")\n", + " c = axs[2].imshow(buoyancy_force[1].T, origin=\"lower\", cmap=\"plasma\")\n", + " fig.colorbar(c, ax=axs[2])\n", + "\n", + " for ax in axs:\n", + " ax.axis('off')\n", + "\n", + " fig.suptitle(f\"Step {i+1}/{num_steps}, Re={Re}, Ri={Ri}\")\n", + "\n", + " plt.show()\n", + " clc(wait=True)\n", + " plt.close(fig)\n" + ] + }, + { + "cell_type": "markdown", + "id": "0f9cd2d9", + "metadata": {}, + "source": [ + "The results are coherent with this benchmark case from the literature ([Introini et al., 2023](https://doi.org/10.1016/j.cma.2022.115773)):\n", + "\n", + "![Benchmark comparison](https://ars.els-cdn.com/content/image/1-s2.0-S0045782522007290-gr4_lrg.jpg)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "XLB (3.12.13)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/07_rayleighbenard.ipynb b/examples/tutorials/07_rayleighbenard.ipynb new file mode 100644 index 00000000..7401d2d2 --- /dev/null +++ b/examples/tutorials/07_rayleighbenard.ipynb @@ -0,0 +1,411 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0b4892ce", + "metadata": {}, + "source": [ + "# Rayleigh–Bénard Convection — Two-Way Thermal-Flow Coupling\n", + "\n", + "The [previous tutorial](06_buoyant_cavity.ipynb) coupled flow and temperature two ways in a *vertical* cavity: hot left wall, cold right wall, buoyancy acting sideways against gravity. This notebook uses the same two-way coupling machinery for the other classic configuration — **Rayleigh–Bénard convection**: a fluid layer heated from below and cooled from above, with gravity pointing straight down through the temperature gradient. Hot fluid at the bottom is lighter than the fluid above it, so it wants to rise; cold fluid at the top wants to sink. Above a critical temperature difference, this instability organizes itself into **convection rolls** — for the wide, shallow cavity used here, a pair of counter-rotating cells is what actually appears (see the plot at the end of Step 5).\n", + "\n", + "**Why this is a genuinely different kind of coupling.** In the one-way thermal tutorials, recovering the flow's velocity and handing it to the thermal solver was enough — the flow's own equations never referenced the temperature. Here the flow equations gain an extra term, the **buoyancy force**, that depends on the local temperature. That force has to be recomputed from the *current* temperature field and fed back into the flow's collision step, every time step, for the two solvers to stay coupled in both directions.\n", + "\n", + "**The physics in one line, via the Boussinesq approximation.** Temperature differences are assumed small enough that density is treated as constant everywhere *except* in the one place it multiplies gravity, giving a body force per unit mass\n", + "\n", + "$$\n", + "\\mathbf{F}_{\\text{buoyancy}} = \\mathbf{g}\\,\\beta\\,(T - T_{\\text{ref}}),\n", + "$$\n", + "\n", + "where $\\mathbf{g}$ is the (vector) gravitational acceleration, $\\beta$ is the thermal expansion coefficient, and $T_{\\text{ref}}$ is a reference temperature at which the fluid is neutrally buoyant. Fluid warmer than $T_{\\text{ref}}$ is pushed the way $\\mathbf{g}$ points; fluid colder than $T_{\\text{ref}}$ is pushed the other way. Here $\\mathbf{g}$ points in $+y$ (see Step 2), so fluid heated from below rises. This is exactly the force this notebook injects into the flow solver's collision step, computed fresh from the scalar solver's temperature field at every step.\n", + "\n", + "**The dimensionless numbers that describe this problem:**\n", + "\n", + "$$\n", + "Re = \\frac{UL}{\\nu}, \\qquad\n", + "Pr = \\frac{\\nu}{\\alpha}, \\qquad\n", + "Gr = \\frac{g\\beta\\Delta T L^3}{\\nu^2}, \\qquad\n", + "Ra = Gr\\cdot Pr, \\qquad\n", + "Ri = \\frac{Gr}{Re^2} = \\frac{g\\beta\\Delta T\\,L}{U^2}\n", + "$$\n", + "\n", + "with $U$ a characteristic velocity, $L$ a characteristic length, $\\nu$ the kinematic viscosity, $\\alpha$ the thermal diffusivity, and $\\Delta T = T_s - T_\\infty$ a characteristic temperature difference. Rayleigh–Bénard convection is normally characterized purely by the **Rayleigh number** $Ra$ (buoyant vs. combined viscous/thermal diffusion): above a critical $Ra_c \\approx 1708$ (no-slip top/bottom, infinite layer), the quiescent conducting state becomes unstable and rolls form. This notebook additionally imposes a small vertical velocity on the side walls (Step 3), which is *not* part of the classical problem — it's there purely to seed asymmetry and get the rolls moving in a predictable direction instead of waiting on numerical noise to break the symmetry. That extra shear is why $Ri$ (buoyancy vs. imposed inertial forcing) is still tracked here rather than working with $Ra$ alone, even though buoyancy is what actually organizes the flow into rolls.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "b302f770", + "metadata": {}, + "source": [ + "---\n", + "## Step 1 — Imports\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "0a1aeab4", + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import xlb\n", + "import xlb.velocity_set\n", + "from xlb.compute_backend import ComputeBackend\n", + "from xlb.grid import grid_factory\n", + "from xlb.helper import omega_from_diffusivity\n", + "from xlb.operator.boundary_condition import (\n", + " EquilibriumBC,\n", + " HalfwayBounceBackBC,\n", + " ScalarDirichletBC,\n", + " ScalarNeumannBC,\n", + ")\n", + "from xlb.operator.macroscopic import Macroscopic, ZeroMoment\n", + "from xlb.operator.stepper import IncompressibleNavierStokesStepper, ThermalStepper\n", + "from xlb.precision_policy import PrecisionPolicy\n", + "\n", + "FIG_DIR = Path(\"figures/rayleighbenard\")\n", + "FIG_DIR.mkdir(parents=True, exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "id": "c0361db0", + "metadata": {}, + "source": [ + "---\n", + "## Step 2 — Parameters, and turning the Richardson number into a gravity vector\n", + "\n", + "The cavity is a wide, shallow rectangle — width $N$, height $N\\cdot$`H_to_L_ratio` — at $Re=2000$, $Pr=0.71$ (air), and $Ri=5$. A shallow aspect ratio (2:1 here) is what lets more than one convection roll fit side by side; a square cavity at the same parameters would instead settle into a single roll. As in the vertical-cavity notebook, two independent stencils are used: the flow keeps the default D2Q9, while the scalar (temperature) uses the cheaper D2Q5, since it only ever needs to recover a single scalar moment.\n", + "\n", + "**From $Ri$ to a gravity vector.** Rather than picking $g$ and $\\beta$ separately, it is more convenient to choose $Ri$ directly, since only the product $g\\beta\\Delta T$ ever enters the Boussinesq force. Solving the definition of $Ri$ above for that product,\n", + "\n", + "$$\n", + "g\\,\\beta\\,\\Delta T = \\frac{Ri\\cdot U^2}{L},\n", + "$$\n", + "\n", + "and taking the maximum possible temperature difference $\\beta\\Delta T \\equiv 1$ (i.e. absorbing $\\beta$ and $\\Delta T$ into the definition of $g$, since the Boussinesq force only ever appears as the product $g\\beta\\Delta T\\cdot(T-T_{\\text{ref}})/\\Delta T$) gives a single effective gravitational acceleration in lattice units, $g = Ri\\cdot U^2/L$. This is the scalar magnitude used to build the gravity **vector** `g = np.array([...])` below.\n", + "\n", + "One sign convention is worth flagging, since it is easy to get backwards and produces a simulation that runs without error but pushes the temperature field the wrong way: `ExactDifference` (the force-injection operator used by `ForcedCollision`, see Step 3) applies the force with an internal sign such that a **positive** `g` component here produces buoyancy acting in the **positive** coordinate direction. Since \"up\" in image coordinates (`imshow(..., origin=\"lower\")`, used throughout the plots) is the **positive** $y$ direction, a positive `g[1]` correctly makes warmer-than-`T_ref` fluid — heated from the bottom wall, see Step 4 — rise on screen, which is exactly the Rayleigh–Bénard setup.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0974491b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No GPU support is available; CPU fallback will be used.\n" + ] + } + ], + "source": [ + "N = 256\n", + "H_to_L_ratio = 0.25\n", + "grid_shape = (N, int(N * H_to_L_ratio))\n", + "precision_policy = PrecisionPolicy.FP64FP64\n", + "compute_backend = ComputeBackend.JAX\n", + "\n", + "# The default velocity set must be the flow's D2Q9\n", + "flow_velocity_set = xlb.velocity_set.D2Q9(precision_policy=precision_policy, compute_backend=compute_backend)\n", + "xlb.init(\n", + " velocity_set=flow_velocity_set,\n", + " default_backend=compute_backend,\n", + " default_precision_policy=precision_policy,\n", + ")\n", + "\n", + "# The scalar keeps its own, cheaper stencil\n", + "thermal_velocity_set = xlb.velocity_set.D2Q5(precision_policy=precision_policy, compute_backend=compute_backend)\n", + "\n", + "Pr = 0.71\n", + "Re = 2000\n", + "Pe = Re * Pr\n", + "Ri = 5\n", + "\n", + "prescribed_vel = 0.05\n", + "clength = grid_shape[0] - 1\n", + "\n", + "viscosity = prescribed_vel * clength / Re\n", + "omega_flow = 1.0 / (3.0 * viscosity + 0.5)\n", + "\n", + "diffusivity = prescribed_vel * clength / Pe\n", + "omega_thermal = omega_from_diffusivity(diffusivity)\n", + "\n", + "# There is a minus sign inside the forced collision operator\n", + "# so we need to flip the sign of the force vector to get a positive buoyancy force in the upward direction.\n", + "g = np.array([0, Ri * prescribed_vel**2 / (grid_shape[0] - 1)])\n", + "grid = grid_factory(grid_shape, compute_backend=compute_backend)" + ] + }, + { + "cell_type": "markdown", + "id": "1618a390", + "metadata": {}, + "source": [ + "---\n", + "## Step 3 — Flow boundary conditions, and why the buoyancy force is passed at call time\n", + "\n", + "**Boundary conditions.** The top and bottom of the cavity — which double as the hot and cold thermal boundaries in Step 4 — are plain no-slip walls (`HalfwayBounceBackBC`): the physical top and bottom plates don't move, only their temperature differs. The left and right side walls are given a small imposed vertical velocity via `EquilibriumBC` instead of being left as no-slip. Classical Rayleigh–Bénard has no imposed velocity anywhere ($Ri \\to \\infty$); the small shear added here just breaks the left-right symmetry so the rolls form in a predictable, repeatable direction instead of depending on whatever numerical noise happens to seed the instability first.\n", + "\n", + "**Why `force_vector` is passed at construction time even though it changes every step.** `IncompressibleNavierStokesStepper` only wraps its collision operator in `ForcedCollision` (the machinery that knows how to inject a body force at all) if `force_vector` is given when the stepper is built. The array passed here, built from the constant `g` alone, is therefore only a **placeholder**: it fixes the force field's shape and dtype once and for all, and tells the stepper \"this simulation has a force.\" It is *not* the array that does the buoyancy physics — that one is recomputed from the temperature field inside the time loop (Step 5) and passed directly into the stepper's `__call__` as an ordinary function argument on every step.\n", + "\n", + "This distinction matters more than it looks like it should, because of how JAX's JIT compilation works. `IncompressibleNavierStokesStepper.__call__` is JIT-compiled with `self` as a **static** argument, so anything stored as `self.something` (including `flow_stepper.collision.force_vector`, if you were to reassign it) gets baked into the compiled trace as a *compile-time constant* the first time the stepper runs. Reassigning that attribute afterwards silently does nothing at all — later calls keep using the value captured by the very first trace. Passing the force as a normal call argument instead makes it a *traced* value, exactly like `f_0` or `omega`, so JAX picks up the new array on every call without needing to recompile, as long as its shape and dtype don't change. This one design choice is what makes two-way coupling actually work here, as opposed to silently reproducing one-way coupling with a permanently frozen, near-zero force — a failure mode that is easy to hit and gives no error, only a simulation that quietly does the wrong thing.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "025a354c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc HalfwayBounceBackBC_294110711 with id 1\n", + "WARNING! Assuming no-slip condition for BC type = HalfwayBounceBackBC!\n", + "registered bc EquilibriumBC_298912628 with id 2\n", + "registered bc EquilibriumBC_294090429 with id 3\n", + "Warp 1.16.0 initialized:\n", + " CUDA not enabled in this build\n", + " Devices:\n", + " \"cpu\" : \"arm\"\n", + " Kernel cache:\n", + " /Users/rivas/Library/Caches/warp/1.16.0\n" + ] + } + ], + "source": [ + "box = grid.bounding_box_indices()\n", + "box_no_edge = grid.bounding_box_indices(remove_edges=True)\n", + "\n", + "left_wall = box_no_edge[\"left\"]\n", + "right_wall = box_no_edge[\"right\"]\n", + "noslip_walls = [box[\"bottom\"][i] + box[\"top\"][i] for i in range(flow_velocity_set.d)]\n", + "\n", + "import jax.numpy as jnp\n", + "\n", + "# This is only a placeholder, uniform force (built from `g` alone) so that\n", + "# IncompressibleNavierStokesStepper knows to wrap its collision operator in\n", + "# ForcedCollision, and so the shape/dtype of the force array is fixed once and for all.\n", + "# The REAL, temperature-dependent Boussinesq force is computed fresh every step in the\n", + "# time loop below and passed directly to the stepper call -- it is not built by mutating\n", + "# this array. See the time-loop cell for why that distinction matters.\n", + "buoyancy_force = jnp.zeros((flow_velocity_set.d, *grid_shape))\n", + "buoyancy_force = buoyancy_force.at[0].set(g[0])\n", + "buoyancy_force = buoyancy_force.at[1].set(g[1])\n", + "\n", + "flow_stepper = IncompressibleNavierStokesStepper(\n", + " grid=grid,\n", + " boundary_conditions=[\n", + " HalfwayBounceBackBC(indices=noslip_walls),\n", + " EquilibriumBC(rho=1.0, u=(0.0, prescribed_vel), indices=left_wall),\n", + " EquilibriumBC(rho=1.0, u=(0.0, prescribed_vel), indices=right_wall),\n", + " ],\n", + " collision_type=\"BGK\",\n", + " force_vector=buoyancy_force,\n", + ")\n", + "\n", + "f_0, f_1, bc_mask, missing_mask = flow_stepper.prepare_fields()" + ] + }, + { + "cell_type": "markdown", + "id": "81dd9fcc", + "metadata": {}, + "source": [ + "---\n", + "## Step 4 — Thermal boundary conditions\n", + "\n", + "The bottom wall is held at the hot temperature ($T=1$) and the top wall at the reference/cold temperature ($T_{\\text{ref}}=0$), both via `ScalarDirichletBC` — this is the actual Rayleigh–Bénard temperature gradient, aligned with gravity. The left and right walls are adiabatic (`ScalarNeumannBC(flux=0.0)`): they only affect the flow, through the imposed shear from Step 3, not the temperature. This is the same Dirichlet/Neumann pattern used in the earlier cavity tutorials — see those notebooks for why the wall index sets are built the way they are (which faces use the full bounding box vs. `remove_edges=True`, and why that choice matters at the corners).\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "f404d64f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "registered bc ScalarDirichletBC_298917118 with id 4\n", + "registered bc ScalarDirichletBC_298410796 with id 5\n", + "registered bc ScalarNeumannBC_298911857 with id 6\n" + ] + } + ], + "source": [ + "hot = box[\"bottom\"]\n", + "cold = box[\"top\"]\n", + "insulated = [box_no_edge[\"left\"][i] + box_no_edge[\"right\"][i] for i in range(thermal_velocity_set.d)]\n", + "\n", + "T_ref = 0.0\n", + "\n", + "thermal_stepper = ThermalStepper(\n", + " grid=grid,\n", + " boundary_conditions=[\n", + " ScalarDirichletBC(value=1.0, indices=hot),\n", + " ScalarDirichletBC(value=T_ref, indices=cold),\n", + " ScalarNeumannBC(flux=0.0, indices=insulated),\n", + " ],\n", + " velocity_set=thermal_velocity_set,\n", + ")\n", + "\n", + "g_0, g_1, bc_mask_thermal, missing_mask_thermal = thermal_stepper.prepare_fields(phi_init=0.0)\n", + "u, source = thermal_stepper.prepare_aux_fields()" + ] + }, + { + "cell_type": "markdown", + "id": "ffdc5a58", + "metadata": {}, + "source": [ + "---\n", + "## Step 5 — The two-way coupled time loop\n", + "\n", + "Each step now does four things, one more than the one-way tutorials:\n", + "\n", + "1. Advance the **flow**, using the buoyancy force computed from **last** step's temperature (there is necessarily a one-step lag: the force needs a temperature field, and the temperature field needs the flow's velocity from the *previous* step to advect it — this explicit, lagged coupling is the standard way to couple two LBM solvers without solving a joint nonlinear system at every step).\n", + "2. Recover the velocity and hand it to the thermal solver.\n", + "3. Advance the **temperature**, advected by that velocity.\n", + "4. Recover the new temperature and build **next** step's buoyancy force, $g_\\alpha\\,(T-T_{\\text{ref}})$ component-wise — this is passed directly to `flow_stepper(...)` at the top of the next iteration, not stored back onto the stepper object (see Step 3 for why that distinction is essential rather than stylistic).\n", + "\n", + "The plot every `report_every` steps shows the velocity field with streamlines and the temperature field with isotherms. Watch the velocity panel for the roll pattern to emerge and stabilize — starting from a quiescent, uniformly-cold fluid, it takes a while for the instability to grow, and the number of rolls that ultimately forms depends on the cavity's aspect ratio.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f700bea3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import clear_output as clc\n", + "\n", + "macroscopic = Macroscopic()\n", + "zero_moment = ZeroMoment(\n", + " velocity_set=thermal_velocity_set,\n", + " precision_policy=precision_policy,\n", + " compute_backend=compute_backend,\n", + ")\n", + "\n", + "num_steps = 40000\n", + "report_every = 5000\n", + "H = grid_shape[1] - 1\n", + "delta_T = 1.0 - T_ref\n", + "\n", + "nu_history = [] # (step, Nu_wall), sampled every `report_every` steps -- used later to\n", + " # check the run has settled into a statistically steady convective state,\n", + " # rather than trusting a single, possibly noisy, instantaneous snapshot.\n", + "\n", + "for i in range(num_steps):\n", + "\n", + " # 1. Advance the flow\n", + " f_0, f_1 = flow_stepper(f_0, f_1, bc_mask, missing_mask, omega_flow, i, buoyancy_force)\n", + " f_0, f_1 = f_1, f_0\n", + "\n", + " # 2. Recover the velocity and hand it to the scalar\n", + " _, u = macroscopic(f_0)\n", + "\n", + " # 3. Advance the scalar, advected by that velocity\n", + " g_0, g_1 = thermal_stepper(\n", + " g_0, g_1, u, source, bc_mask_thermal, missing_mask_thermal, omega_thermal, i\n", + " )\n", + " g_0, g_1 = g_1, g_0\n", + "\n", + " # 4. Recover temperature and build the Boussinesq force for THIS step, as a plain\n", + " # array passed to the stepper call itself (see Step 3 for why -- not by mutating\n", + " # `flow_stepper.collision.force_vector`).\n", + " T = zero_moment(g_0)[0]\n", + " buoyancy_force = jnp.zeros((flow_velocity_set.d, *grid_shape))\n", + " buoyancy_force = buoyancy_force.at[0].set(g[0] * (T - T_ref))\n", + " buoyancy_force = buoyancy_force.at[1].set(g[1] * (T - T_ref))\n", + "\n", + " # 5. Every `report_every` steps: record the wall-gradient Nusselt number at the hot\n", + " # (bottom) wall (sampled sparsely, not every step, since pulling a JAX array to the\n", + " # host forces a device sync) and make a plot.\n", + " fig_size = 8\n", + " nrows = 2\n", + " ncols = 1\n", + " if (i+1) % report_every == 0:\n", + " T_host = np.asarray(T)\n", + " Nu_wall_step = float(-(T_host[:, 1].mean() - 1.0) * H / delta_T)\n", + " nu_history.append((i + 1, Nu_wall_step))\n", + "\n", + " fig, axs = plt.subplots(nrows, ncols, figsize=(fig_size * ncols, fig_size * nrows * H_to_L_ratio))\n", + "\n", + " axs[0].set_title(\"Velocity\")\n", + " c = axs[0].imshow(np.linalg.norm(u, axis=0).T, origin=\"lower\", cmap=\"RdYlBu_r\")\n", + "\n", + " if i == num_steps - 1:\n", + " axs[0].streamplot(np.arange(0, grid_shape[0], 1), np.arange(0, grid_shape[1], 1), u[0].T, u[1].T, color=\"k\", density=1.0, linewidth=0.5)\n", + "\n", + " axs[0].set_xlim(0, grid_shape[0]-1)\n", + " axs[0].set_ylim(0, grid_shape[1]-1)\n", + " fig.colorbar(c, ax=axs[0], aspect = 20)\n", + "\n", + " axs[1].set_title(\"Temperature\")\n", + " c = axs[1].imshow(T_host.T, origin=\"lower\", cmap=\"twilight\", vmin=0, vmax=1)\n", + " xg, yg = np.meshgrid(np.arange(0, grid_shape[0], 1), np.arange(0, grid_shape[1], 1))\n", + " axs[1].contour(xg, yg, T_host.T, levels=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], colors=\"k\", linewidths=0.5)\n", + " fig.colorbar(c, ax=axs[1], aspect = 20)\n", + "\n", + " for ax in axs:\n", + " ax.axis('off')\n", + "\n", + " fig.suptitle(f\"Step {i+1}/{num_steps}, Re={Re}, Ri={Ri}, Nu_wall={Nu_wall_step:.2f}\", y=1.05)\n", + "\n", + " plt.show()\n", + " clc(wait=True)\n", + " plt.close(fig)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "XLB (3.12.13)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/README.md b/examples/tutorials/README.md new file mode 100644 index 00000000..d3ce3a4f --- /dev/null +++ b/examples/tutorials/README.md @@ -0,0 +1,17 @@ +# XLB Tutorials + +Seven step-by-step Jupyter notebooks teaching lattice Boltzmann simulation, building from steady flow through coupled multiphysics. + +| Notebook | Topic | Key Concepts | +| ----------------------------------- | ------------------------------- | ---------------------------------------------------------------------------------------------- | +| **01_lid_driven_cavity_2d** | Steady enclosed flow | Velocity set (D2Q9), boundary conditions, convergence detection, Ghia benchmark | +| **02_heat_conduction** | Heat diffusion (no flow) | Scalar solver (D2Q5), ScalarDirichletBC/NeumannBC, omega_from_diffusivity | +| **03_flow_past_cylinder_2d** | External flow, unsteady | Channel inlet/outlet, RegularizedBC, ExtrapolationOutflowBC, MomentumTransfer, Strouhal number | +| **04_pass_scalar_transp_cavity_2d** | Thermal transport in flow | Two-solver coupling (D2Q9 flow + D2Q5 thermal), Péclet number, Nusselt number | +| **05_flow_past_square_thermal_2d** | Cold obstacle in warm flow | External flow + passive scalar on interior body, thermal wake visualization | +| **06_buoyant_cavity** | Buoyancy-driven flow | Two-way thermal-flow coupling, Boussinesq force, Richardson/Grashof/Rayleigh numbers | +| **07_rayleighbenard** | Rayleigh–Bénard convection | Two-way coupling (bottom-heated cell), convection rolls, Nusselt number validation | + +**Quick start:** Read the markdown in each notebook first (explains physics and API), then run the cells. Modify parameters to experiment. + +**Output:** Each notebook saves figures to `figures//` subdirectory. diff --git a/tests/kernels/equilibrium/test_linear_equilibrium_jax.py b/tests/kernels/equilibrium/test_linear_equilibrium_jax.py new file mode 100644 index 00000000..ef8c1669 --- /dev/null +++ b/tests/kernels/equilibrium/test_linear_equilibrium_jax.py @@ -0,0 +1,84 @@ +import pytest +import numpy as np +import xlb +from xlb.compute_backend import ComputeBackend +from xlb.operator.equilibrium import LinearEquilibrium +from xlb.grid import grid_factory +from xlb import DefaultConfig + + +def init_xlb_env(velocity_set): + vel_set = velocity_set(precision_policy=xlb.PrecisionPolicy.FP32FP32, compute_backend=ComputeBackend.JAX) + xlb.init( + default_precision_policy=xlb.PrecisionPolicy.FP32FP32, + default_backend=ComputeBackend.JAX, + velocity_set=vel_set, + ) + + +@pytest.mark.parametrize( + "dim,velocity_set,grid_shape", + [ + (2, xlb.velocity_set.D2Q5, (20, 20)), + (2, xlb.velocity_set.D2Q9, (20, 20)), + (3, xlb.velocity_set.D3Q19, (20, 20, 20)), + (3, xlb.velocity_set.D3Q27, (20, 20, 20)), + ], +) +def test_linear_equilibrium_at_rest(dim, velocity_set, grid_shape): + init_xlb_env(velocity_set) + my_grid = grid_factory(grid_shape) + + phi = my_grid.create_field(cardinality=1, fill_value=2.5) + u = my_grid.create_field(cardinality=dim, fill_value=0.0) + + g_eq = LinearEquilibrium()(phi, u) + + # The zeroth moment must return the scalar itself + assert np.allclose(np.sum(g_eq, axis=0), 2.5), "Sum of g_eq should recover the scalar" + + # At rest the equilibrium reduces to the lattice weights times the scalar + weights = DefaultConfig.velocity_set.w + for i, weight in enumerate(weights): + assert np.allclose(g_eq[i, ...], 2.5 * weight), f"Direction {i} in g_eq does not match the expected weight" + + +@pytest.mark.parametrize( + "dim,velocity_set,grid_shape", + [ + (2, xlb.velocity_set.D2Q5, (20, 20)), + (2, xlb.velocity_set.D2Q9, (20, 20)), + (3, xlb.velocity_set.D3Q19, (20, 20, 20)), + ], +) +def test_linear_equilibrium_moments(dim, velocity_set, grid_shape): + init_xlb_env(velocity_set) + my_grid = grid_factory(grid_shape) + + phi_value = 1.7 + u_value = 0.05 + phi = my_grid.create_field(cardinality=1, fill_value=phi_value) + u = my_grid.create_field(cardinality=dim, fill_value=u_value) + + g_eq = LinearEquilibrium()(phi, u) + c = np.array(DefaultConfig.velocity_set.c) + + # Zeroth moment: sum(g_eq) = phi + assert np.allclose(np.sum(g_eq, axis=0), phi_value, atol=1e-5) + + # First moment: sum(c * g_eq) = phi * u, i.e. the advective flux + for d in range(dim): + flux = np.einsum("l,l...->...", c[d], np.asarray(g_eq)) + assert np.allclose(flux, phi_value * u_value, atol=1e-5), f"First moment along {d} does not recover the advective flux" + + # The linear equilibrium is symmetric in the sense g_eq[l] + g_eq[opp[l]] = 2 * w[l] * phi, + # which is what makes the anti-bounce-back Dirichlet condition exact. + opp = np.array(DefaultConfig.velocity_set.opp_indices) + w = np.array(DefaultConfig.velocity_set.w) + for l in range(len(w)): + pair_sum = np.asarray(g_eq)[l] + np.asarray(g_eq)[opp[l]] + assert np.allclose(pair_sum, 2.0 * w[l] * phi_value, atol=1e-5) + + +if __name__ == "__main__": + pytest.main() diff --git a/tests/thermal/test_thermal_stepper_jax.py b/tests/thermal/test_thermal_stepper_jax.py new file mode 100644 index 00000000..925f4303 --- /dev/null +++ b/tests/thermal/test_thermal_stepper_jax.py @@ -0,0 +1,459 @@ +""" +Validation tests for the scalar-transport (thermal) stepper against analytical solutions. + +The cases below are the standard benchmarks of the heat equation and of passive scalar +advection-diffusion, run on the JAX backend. + +Note on the wall-bounded cases: XLB flags every lattice link that leaves the domain as +missing, so a boundary node sitting where a wall row meets a periodic direction also gets +the wall treatment applied along that direction. This pollutes the two outermost columns, +so the profiles below are compared on the mid-domain column of a sufficiently wide grid. +""" + +import pytest +import numpy as np +import xlb +from xlb.compute_backend import ComputeBackend +from xlb.grid import grid_factory +from xlb.helper import omega_from_diffusivity, diffusivity_from_omega +from xlb.operator.boundary_condition import ScalarDirichletBC, ScalarNeumannBC +from xlb.operator.macroscopic import ZeroMoment +from xlb.operator.stepper import ThermalStepper + + +def init_xlb_env(velocity_set=xlb.velocity_set.D2Q5): + vel_set = velocity_set(precision_policy=xlb.PrecisionPolicy.FP64FP64, compute_backend=ComputeBackend.JAX) + xlb.init( + default_precision_policy=xlb.PrecisionPolicy.FP64FP64, + default_backend=ComputeBackend.JAX, + velocity_set=vel_set, + ) + + +def run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, num_steps): + for i in range(num_steps): + g_0, g_1 = stepper(g_0, g_1, u, source, bc_mask, missing_mask, omega, i) + g_0, g_1 = g_1, g_0 + return g_0 + + +def temperature_of(g): + return np.asarray(ZeroMoment()(g))[0] + + +def test_omega_diffusivity_roundtrip(): + for alpha in [0.01, 1.0 / 6.0, 0.5]: + omega = omega_from_diffusivity(alpha) + assert np.isclose(diffusivity_from_omega(omega), alpha) + + +@pytest.mark.parametrize("velocity_set", [xlb.velocity_set.D2Q5, xlb.velocity_set.D2Q9]) +def test_pure_diffusion_recovers_the_heat_kernel(velocity_set): + """A blob spreading in a periodic domain must follow the analytical heat kernel. + + This is the cleanest check of the omega-to-diffusivity mapping since no boundary + conditions are involved at all. + """ + init_xlb_env(velocity_set) + nx, ny = 100, 3 + grid = grid_factory((nx, ny)) + + stepper = ThermalStepper(grid=grid, boundary_conditions=[]) + + alpha = 1.0 / 6.0 + omega = omega_from_diffusivity(alpha) + num_steps = 150 + + x = np.arange(nx) + sigma, x0 = 4.0, nx // 2 + phi_init = np.exp(-0.5 * ((x - x0) / sigma) ** 2)[None, :, None] * np.ones((1, nx, ny)) + + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=phi_init) + u, source = stepper.prepare_aux_fields() + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, num_steps) + temperature = temperature_of(g_0)[:, 1] + + sigma_t = np.sqrt(sigma**2 + 2.0 * alpha * num_steps) + expected = sigma / sigma_t * np.exp(-0.5 * ((x - x0) / sigma_t) ** 2) + + assert np.allclose(temperature, expected, atol=1e-3) + assert np.isclose(temperature.sum(), phi_init[0, :, 1].sum(), rtol=1e-9) + + +def test_uniform_source_heats_at_the_prescribed_rate(): + """With a uniform source and no boundaries the scalar grows by exactly source per step.""" + init_xlb_env() + grid = grid_factory((8, 8)) + + stepper = ThermalStepper(grid=grid, boundary_conditions=[]) + + omega = omega_from_diffusivity(1.0 / 6.0) + source_value = 1e-3 + num_steps = 250 + + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=0.0) + u, source = stepper.prepare_aux_fields() + source = source + source_value + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, num_steps) + + assert np.allclose(temperature_of(g_0), source_value * num_steps, rtol=1e-9) + + +@pytest.mark.parametrize("velocity_set", [xlb.velocity_set.D2Q5, xlb.velocity_set.D2Q9]) +def test_steady_conduction_linear_profile(velocity_set): + """Steady conduction between two walls at fixed temperature gives a linear profile. + + This also pins down the effective wall location of the anti-bounce-back condition, + which must be exactly halfway between the boundary node and its solid neighbour. + """ + init_xlb_env(velocity_set) + nx, ny = 32, 20 + grid = grid_factory((nx, ny)) + + t_bot, t_top = 1.0, 0.0 + box = grid.bounding_box_indices() + stepper = ThermalStepper( + grid=grid, + boundary_conditions=[ + ScalarDirichletBC(value=t_bot, indices=box["bottom"]), + ScalarDirichletBC(value=t_top, indices=box["top"]), + ], + ) + + omega = omega_from_diffusivity(1.0 / 6.0) + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=0.5) + u, source = stepper.prepare_aux_fields() + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, 20000) + temperature = temperature_of(g_0)[nx // 2] + + # The halfway walls sit at y = -1/2 and y = ny - 1/2, so the wall-to-wall distance is ny + xi = (np.arange(ny) + 0.5) / ny + expected = t_bot + (t_top - t_bot) * xi + + assert np.allclose(temperature, expected, atol=1e-3) + + +def test_steady_conduction_with_volumetric_source(): + """Conduction with a uniform source between two cold walls gives a parabolic profile.""" + init_xlb_env() + nx, ny = 32, 20 + grid = grid_factory((nx, ny)) + + box = grid.bounding_box_indices() + stepper = ThermalStepper( + grid=grid, + boundary_conditions=[ + ScalarDirichletBC(value=0.0, indices=box["bottom"]), + ScalarDirichletBC(value=0.0, indices=box["top"]), + ], + ) + + alpha = 1.0 / 6.0 + omega = omega_from_diffusivity(alpha) + source_value = 1e-4 + + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=0.0) + u, source = stepper.prepare_aux_fields() + source = source + source_value + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, 20000) + temperature = temperature_of(g_0)[nx // 2] + + # alpha * T'' + S = 0 with T = 0 on both walls gives T = S * L^2 / (2 alpha) * xi * (1 - xi) + xi = (np.arange(ny) + 0.5) / ny + expected = source_value * ny**2 / (2.0 * alpha) * xi * (1.0 - xi) + + # The anti-bounce-back wall carries a residual defect of order source (see the note in + # ScalarDirichletBC), which is second order in dx under diffusive scaling. It is + # therefore measured against the peak of the profile rather than pointwise. + assert np.abs(temperature - expected).max() < 5e-3 * expected.max() + + +def test_prescribed_wall_flux(): + """A prescribed flux on one wall drives the analytical temperature gradient.""" + init_xlb_env() + nx, ny = 256, 20 + grid = grid_factory((nx, ny)) + + box = grid.bounding_box_indices() + flux = 1e-3 + stepper = ThermalStepper( + grid=grid, + boundary_conditions=[ + ScalarNeumannBC(flux=flux, indices=box["bottom"]), + ScalarDirichletBC(value=0.0, indices=box["top"]), + ], + ) + + alpha = 1.0 / 6.0 + omega = omega_from_diffusivity(alpha) + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=0.0) + u, source = stepper.prepare_aux_fields() + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, 40000) + temperature = temperature_of(g_0)[nx // 2] + + # At steady state alpha * dT/dy = -flux throughout the slab, with T = 0 imposed halfway + # past the last node + expected = flux / alpha * (ny - 0.5 - np.arange(ny)) + + assert np.allclose(np.diff(temperature), -flux / alpha, rtol=1e-3) + assert np.allclose(temperature, expected, rtol=1e-3) + + +def test_adiabatic_walls_conserve_the_scalar(): + """With zero-flux walls all around, the total amount of scalar must be conserved.""" + init_xlb_env() + nx, ny = 16, 16 + grid = grid_factory((nx, ny)) + + box = grid.bounding_box_indices() + walls = [box["bottom"][i] + box["top"][i] + box["left"][i] + box["right"][i] for i in range(2)] + walls = np.unique(np.array(walls), axis=-1).tolist() + + stepper = ThermalStepper(grid=grid, boundary_conditions=[ScalarNeumannBC(flux=0.0, indices=walls)]) + + omega = omega_from_diffusivity(1.0 / 6.0) + u, source = stepper.prepare_aux_fields() + + # Start from a hot spot in the middle of an otherwise cold domain + phi_init = np.zeros((1, nx, ny)) + phi_init[0, nx // 2, ny // 2] = 1.0 + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=phi_init) + + initial_total = temperature_of(g_0).sum() + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, 4000) + temperature = temperature_of(g_0) + + assert np.isclose(temperature.sum(), initial_total, rtol=1e-9) + + # Diffusion with insulated walls must relax towards the well-mixed state + assert np.allclose(temperature, initial_total / (nx * ny), atol=1e-6) + + +def test_advection_of_a_gaussian_blob(): + """A blob advected by a uniform periodic flow translates at the imposed velocity.""" + init_xlb_env() + nx, ny = 64, 3 + grid = grid_factory((nx, ny)) + + # No boundary conditions: streaming is periodic in both directions + stepper = ThermalStepper(grid=grid, boundary_conditions=[]) + + alpha = 1e-2 + omega = omega_from_diffusivity(alpha) + u_x = 0.05 + num_steps = 400 + + x = np.arange(nx) + sigma, x0 = 5.0, nx // 4 + phi_init = np.exp(-0.5 * ((x - x0) / sigma) ** 2)[None, :, None] * np.ones((1, nx, ny)) + + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=phi_init) + u, source = stepper.prepare_aux_fields() + u = u.at[0].set(u_x) + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, num_steps) + temperature = temperature_of(g_0)[:, 1] + + # The scalar is conserved by advection-diffusion on a periodic domain + assert np.isclose(temperature.sum(), phi_init[0, :, 1].sum(), rtol=1e-9) + + # The blob translates at u_x and spreads as a Gaussian, so compare its first two + # moments. The periodic coordinate is unwrapped around the expected blob position so + # that its tails are not folded to the opposite side of the domain. + x_expected = x0 + u_x * num_steps + x_unwrapped = (x - x_expected + nx / 2) % nx - nx / 2 + weights = temperature / temperature.sum() + centroid = np.sum(weights * x_unwrapped) + variance = np.sum(weights * (x_unwrapped - centroid) ** 2) + + assert np.isclose(centroid, 0.0, atol=5e-2) + assert np.isclose(variance, sigma**2 + 2.0 * alpha * num_steps, rtol=1e-2) + + +def test_scalar_stencil_may_differ_from_the_default_one(): + """The scalar may run on D2Q5 while the global default stays on the flow stencil. + + This is the configuration of every coupled flow-thermal run, so the stepper has to + re-bind its boundary conditions to its own stencil rather than the default one. + """ + # The global default is the flow stencil, as it would be when coupling to the flow + init_xlb_env(xlb.velocity_set.D2Q9) + + nx, ny = 32, 20 + grid = grid_factory((nx, ny)) + thermal_velocity_set = xlb.velocity_set.D2Q5(precision_policy=xlb.PrecisionPolicy.FP64FP64, compute_backend=ComputeBackend.JAX) + + box = grid.bounding_box_indices() + stepper = ThermalStepper( + grid=grid, + boundary_conditions=[ + ScalarDirichletBC(value=1.0, indices=box["bottom"]), + ScalarDirichletBC(value=0.0, indices=box["top"]), + ], + velocity_set=thermal_velocity_set, + ) + + assert stepper.velocity_set.q == 5 + assert all(bc.velocity_set.q == 5 for bc in stepper.boundary_conditions) + + omega = omega_from_diffusivity(1.0 / 6.0) + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=0.5) + u, source = stepper.prepare_aux_fields() + + assert g_0.shape[0] == 5 + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, 20000) + temperature = temperature_of(g_0)[nx // 2] + + # Steady conduction between the two walls is linear across the slab + xi = (np.arange(ny) + 0.5) / ny + assert np.allclose(temperature, 1.0 - xi, atol=1e-3) + + +def test_velocity_sets_report_the_speed_of_sound_of_their_stencil(): + """cs^2 is a property of the stencil and must be derived from it, not assumed. + + Every stencil XLB uses for Navier-Stokes has cs^2 = 1/3, and so does the D2Q5 scalar + stencil, but the minimal 3D scalar stencil D3Q7 has cs^2 = 1/4. Hard-coding 1/3 would + silently give the wrong diffusivity on D3Q7. + """ + for velocity_set, expected_cs2 in [ + (xlb.velocity_set.D2Q5, 1.0 / 3.0), + (xlb.velocity_set.D2Q9, 1.0 / 3.0), + (xlb.velocity_set.D3Q7, 1.0 / 4.0), + (xlb.velocity_set.D3Q19, 1.0 / 3.0), + (xlb.velocity_set.D3Q27, 1.0 / 3.0), + ]: + vel_set = velocity_set(precision_policy=xlb.PrecisionPolicy.FP64FP64, compute_backend=ComputeBackend.JAX) + + # cs^2 follows from sum_i w_i c_ia c_ib = cs^2 delta_ab + c, w = np.array(vel_set._c), np.array(vel_set._w) + second_moment = np.einsum("i,ai,bi->ab", w, c, c) + + assert np.isclose(w.sum(), 1.0) + assert np.allclose(second_moment, expected_cs2 * np.eye(vel_set.d)) + assert float(vel_set.cs2) == expected_cs2 + assert float(vel_set.inv_cs2) == 1.0 / expected_cs2 + + +def test_omega_diffusivity_roundtrip_accepts_a_velocity_set(): + """Passing the velocity set is the safe way to get cs^2 right on any stencil.""" + for velocity_set in [xlb.velocity_set.D2Q5, xlb.velocity_set.D3Q7, xlb.velocity_set.D3Q19]: + vel_set = velocity_set(precision_policy=xlb.PrecisionPolicy.FP64FP64, compute_backend=ComputeBackend.JAX) + for alpha in [0.01, 1.0 / 6.0, 0.5]: + omega = omega_from_diffusivity(alpha, cs2=vel_set) + assert np.isclose(diffusivity_from_omega(omega, cs2=vel_set), alpha) + + +def test_d3q7_pure_diffusion_recovers_the_heat_kernel(): + """D3Q7 must reproduce the analytical heat kernel, as D2Q5 does in 2D. + + The blob spreads as ``sigma^2(t) = sigma_0^2 + 2 * alpha * t``, so measuring the + variance directly tests the omega-to-diffusivity mapping, which is what makes D3Q7 + easy to get wrong: its cs^2 is 1/4 rather than the 1/3 of every other XLB stencil. + """ + init_xlb_env(xlb.velocity_set.D3Q7) + nx, ny, nz = 100, 3, 3 + grid = grid_factory((nx, ny, nz)) + + stepper = ThermalStepper(grid=grid, boundary_conditions=[]) + assert stepper.velocity_set.q == 7 + + alpha = 1.0 / 60.0 + # D3Q7 has cs^2 = 1/4, so the stencil's own value must be used here + omega = omega_from_diffusivity(alpha, cs2=stepper.velocity_set) + num_steps = 400 + + x = np.arange(nx) + sigma, x0 = 6.0, nx // 2 + phi_init = np.exp(-0.5 * ((x - x0) / sigma) ** 2)[None, :, None, None] * np.ones((1, nx, ny, nz)) + + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=phi_init) + u, source = stepper.prepare_aux_fields() + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, num_steps) + temperature = temperature_of(g_0)[:, ny // 2, nz // 2] + + # The variance must grow at exactly 2 * alpha per step. D3Q7 is a smaller stencil than + # D2Q5 and carries slightly more higher-order error, hence the 1% tolerance. + weights = temperature / temperature.sum() + mean = (weights * x).sum() + variance = (weights * (x - mean) ** 2).sum() + assert np.isclose(variance, sigma**2 + 2.0 * alpha * num_steps, rtol=0.01) + + # The profile itself must stay Gaussian, and the scalar must be conserved exactly + sigma_t = np.sqrt(sigma**2 + 2.0 * alpha * num_steps) + expected = sigma / sigma_t * np.exp(-0.5 * ((x - x0) / sigma_t) ** 2) + assert np.allclose(temperature, expected, atol=5e-3 * expected.max()) + assert np.isclose(temperature.sum(), phi_init[0, :, ny // 2, nz // 2].sum(), rtol=1e-9) + + +def test_d3q7_diffusion_is_isotropic(): + """A point source on D3Q7 must spread identically along x, y and z.""" + init_xlb_env(xlb.velocity_set.D3Q7) + n = 31 + grid = grid_factory((n, n, n)) + + stepper = ThermalStepper(grid=grid, boundary_conditions=[]) + omega = omega_from_diffusivity(1.0 / 6.0, cs2=stepper.velocity_set) + + phi_init = np.zeros((1, n, n, n)) + phi_init[0, n // 2, n // 2, n // 2] = 1.0 + + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=phi_init) + u, source = stepper.prepare_aux_fields() + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, 120) + temperature = temperature_of(g_0) + + axis = np.arange(n) + variances = [] + for d in range(3): + profile = temperature.sum(axis=tuple(i for i in range(3) if i != d)) + weights = profile / profile.sum() + mean = (weights * axis).sum() + variances.append((weights * (axis - mean) ** 2).sum()) + + assert np.allclose(variances, variances[0], rtol=1e-10) + + +def test_d3q7_advects_a_blob_at_the_prescribed_velocity(): + """With a uniform velocity the blob must translate at exactly u_x while diffusing.""" + init_xlb_env(xlb.velocity_set.D3Q7) + nx, ny, nz = 120, 3, 3 + grid = grid_factory((nx, ny, nz)) + + stepper = ThermalStepper(grid=grid, boundary_conditions=[]) + alpha = 1.0 / 60.0 + omega = omega_from_diffusivity(alpha, cs2=stepper.velocity_set) + u_x, num_steps = 0.05, 400 + + x = np.arange(nx) + sigma, x0 = 5.0, nx // 4 + phi_init = np.exp(-0.5 * ((x - x0) / sigma) ** 2)[None, :, None, None] * np.ones((1, nx, ny, nz)) + + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=phi_init) + u, source = stepper.prepare_aux_fields() + u = u.at[0].set(u_x) + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, num_steps) + temperature = temperature_of(g_0)[:, ny // 2, nz // 2] + + # Unwrap around the expected centre so the periodic tails are not folded across + expected_centre = x0 + u_x * num_steps + x_unwrapped = (x - expected_centre + nx / 2) % nx - nx / 2 + weights = temperature / temperature.sum() + centroid = (weights * x_unwrapped).sum() + expected_centre + variance = (weights * (x_unwrapped - (weights * x_unwrapped).sum()) ** 2).sum() + + assert np.isclose(centroid, expected_centre, atol=0.1) + assert np.isclose(variance, sigma**2 + 2.0 * alpha * num_steps, rtol=0.02) + + +if __name__ == "__main__": + pytest.main() diff --git a/tests/thermal/test_thermal_stepper_warp.py b/tests/thermal/test_thermal_stepper_warp.py new file mode 100644 index 00000000..d151ab49 --- /dev/null +++ b/tests/thermal/test_thermal_stepper_warp.py @@ -0,0 +1,134 @@ +""" +Cross-backend consistency tests for the scalar-transport (thermal) stepper. + +The Warp path runs one fused kernel instead of the chain of operators used by JAX, so it +is checked against the same analytical solutions and against the JAX result. +""" + +import pytest +import numpy as np +import warp as wp +import xlb +from xlb.compute_backend import ComputeBackend +from xlb.grid import grid_factory +from xlb.helper import omega_from_diffusivity +from xlb.operator.boundary_condition import ScalarDirichletBC, ScalarNeumannBC +from xlb.operator.macroscopic import ZeroMoment +from xlb.operator.stepper import ThermalStepper + + +def init_xlb_env(compute_backend, velocity_set=xlb.velocity_set.D2Q5): + vel_set = velocity_set(precision_policy=xlb.PrecisionPolicy.FP64FP64, compute_backend=compute_backend) + xlb.init( + default_precision_policy=xlb.PrecisionPolicy.FP64FP64, + default_backend=compute_backend, + velocity_set=vel_set, + ) + + +def run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, num_steps): + for i in range(num_steps): + g_0, g_1 = stepper(g_0, g_1, u, source, bc_mask, missing_mask, omega, i) + g_0, g_1 = g_1, g_0 + return g_0 + + +def temperature_of(g, compute_backend): + """Recover the scalar and return it as a 2D numpy array.""" + if compute_backend == ComputeBackend.JAX: + return np.asarray(ZeroMoment()(g))[0] + + phi = wp.zeros((1,) + g.shape[1:], dtype=g.dtype) + phi = ZeroMoment()(g, phi) + return phi.numpy()[0, :, :, 0] + + +def steady_conduction(compute_backend, nx=32, ny=20, num_steps=20000): + init_xlb_env(compute_backend) + grid = grid_factory((nx, ny), compute_backend=compute_backend) + + t_bot, t_top = 1.0, 0.0 + box = grid.bounding_box_indices() + stepper = ThermalStepper( + grid=grid, + boundary_conditions=[ + ScalarDirichletBC(value=t_bot, indices=box["bottom"]), + ScalarDirichletBC(value=t_top, indices=box["top"]), + ], + ) + + omega = omega_from_diffusivity(1.0 / 6.0) + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=0.5) + u, source = stepper.prepare_aux_fields() + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, num_steps) + return temperature_of(g_0, compute_backend) + + +def test_steady_conduction_warp_matches_analytical(): + nx, ny = 32, 20 + temperature = steady_conduction(ComputeBackend.WARP, nx, ny)[nx // 2] + + xi = (np.arange(ny) + 0.5) / ny + expected = 1.0 + (0.0 - 1.0) * xi + + assert np.allclose(temperature, expected, atol=1e-3) + + +def test_steady_conduction_warp_matches_jax(): + nx, ny = 32, 20 + warp_result = steady_conduction(ComputeBackend.WARP, nx, ny) + jax_result = steady_conduction(ComputeBackend.JAX, nx, ny) + + assert np.allclose(warp_result, jax_result, atol=1e-8) + + +def test_uniform_source_warp(): + """With a uniform source and no boundaries the scalar grows by exactly source per step.""" + init_xlb_env(ComputeBackend.WARP) + grid = grid_factory((8, 8), compute_backend=ComputeBackend.WARP) + + stepper = ThermalStepper(grid=grid, boundary_conditions=[]) + + omega = omega_from_diffusivity(1.0 / 6.0) + source_value = 1e-3 + num_steps = 250 + + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=0.0) + u, source = stepper.prepare_aux_fields() + source.fill_(source_value) + + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, num_steps) + + assert np.allclose(temperature_of(g_0, ComputeBackend.WARP), source_value * num_steps, rtol=1e-9) + + +def test_adiabatic_walls_conserve_the_scalar_warp(): + """With zero-flux walls all around, the total amount of scalar must be conserved.""" + init_xlb_env(ComputeBackend.WARP) + nx, ny = 16, 16 + grid = grid_factory((nx, ny), compute_backend=ComputeBackend.WARP) + + box = grid.bounding_box_indices() + walls = [box["bottom"][i] + box["top"][i] + box["left"][i] + box["right"][i] for i in range(2)] + walls = np.unique(np.array(walls), axis=-1).tolist() + + stepper = ThermalStepper(grid=grid, boundary_conditions=[ScalarNeumannBC(flux=0.0, indices=walls)]) + + omega = omega_from_diffusivity(1.0 / 6.0) + u, source = stepper.prepare_aux_fields() + + phi_init = np.zeros((1, nx, ny, 1)) + phi_init[0, nx // 2, ny // 2, 0] = 1.0 + g_0, g_1, bc_mask, missing_mask = stepper.prepare_fields(phi_init=wp.array(phi_init, dtype=wp.float64)) + + initial_total = temperature_of(g_0, ComputeBackend.WARP).sum() + g_0 = run_thermal(stepper, g_0, g_1, u, source, bc_mask, missing_mask, omega, 4000) + temperature = temperature_of(g_0, ComputeBackend.WARP) + + assert np.isclose(temperature.sum(), initial_total, rtol=1e-9) + assert np.allclose(temperature, initial_total / (nx * ny), atol=1e-6) + + +if __name__ == "__main__": + pytest.main() diff --git a/xlb/__init__.py b/xlb/__init__.py index 02b7a994..7422a99b 100644 --- a/xlb/__init__.py +++ b/xlb/__init__.py @@ -23,6 +23,7 @@ import xlb.operator.stream import xlb.operator.boundary_condition import xlb.operator.macroscopic +import xlb.operator.source import xlb.operator.postprocess # Grids diff --git a/xlb/helper/__init__.py b/xlb/helper/__init__.py index 452cfbce..4a4548c9 100644 --- a/xlb/helper/__init__.py +++ b/xlb/helper/__init__.py @@ -1,4 +1,5 @@ from xlb.helper.nse_fields import create_nse_fields +from xlb.helper.thermal_fields import create_thermal_fields, omega_from_diffusivity, diffusivity_from_omega from xlb.helper.initializers import initialize_eq, initialize_multires_eq, CustomInitializer, CustomMultiresInitializer from xlb.helper.check_boundary_overlaps import check_bc_overlaps from xlb.helper.simulation_manager import MultiresSimulationManager diff --git a/xlb/helper/thermal_fields.py b/xlb/helper/thermal_fields.py new file mode 100644 index 00000000..902e7a38 --- /dev/null +++ b/xlb/helper/thermal_fields.py @@ -0,0 +1,111 @@ +""" +Factory function for creating the scalar-transport (thermal) field arrays. + +Returns the scalar distribution-function pair (*g_0*, *g_1*), the boundary-condition mask, +and the missing-population mask, all allocated on the given grid and backend. + +Also provides the mapping between the lattice relaxation parameter and the scalar +diffusivity, which is the thermal counterpart of ``omega = 1 / (3 * nu + 0.5)``. +""" + +from xlb import DefaultConfig +from xlb.grid import grid_factory +from xlb.precision_policy import Precision +from xlb.compute_backend import ComputeBackend +from typing import Tuple + + +def create_thermal_fields( + grid_shape: Tuple[int, int, int] = None, + grid=None, + velocity_set=None, + compute_backend=None, + precision_policy=None, +): + """Create fields for a scalar-transport (advection-diffusion) solver. + + Args: + grid_shape: Tuple of grid dimensions. Required if grid is not provided. + grid: Optional Grid object. If provided, will be used instead of creating new grid. + velocity_set: Optional velocity set for the scalar populations. This is usually a + reduced stencil (e.g. D2Q5) and need not match the stencil used by + the flow solver. Defaults to DefaultConfig.velocity_set. + compute_backend: Optional compute backend. Defaults to DefaultConfig.default_backend. + precision_policy: Optional precision policy. Defaults to DefaultConfig.default_precision_policy. + + Returns: + Tuple of (grid, g_0, g_1, missing_mask, bc_mask) + """ + velocity_set = velocity_set or DefaultConfig.velocity_set + compute_backend = compute_backend or DefaultConfig.default_backend + precision_policy = precision_policy or DefaultConfig.default_precision_policy + + if grid is None: + if grid_shape is None: + raise ValueError("grid_shape must be provided when grid is None") + grid = grid_factory(grid_shape, compute_backend=compute_backend, velocity_set=velocity_set) + + # Create fields + g_0 = grid.create_field(cardinality=velocity_set.q, dtype=precision_policy.store_precision) + g_1 = grid.create_field(cardinality=velocity_set.q, dtype=precision_policy.store_precision) + bc_mask = grid.create_field(cardinality=1, dtype=Precision.UINT8) + if compute_backend in [ComputeBackend.WARP, ComputeBackend.NEON]: + # For WARP and NEON, we use UINT8 for missing mask + missing_mask = grid.create_field(cardinality=velocity_set.q, dtype=Precision.UINT8) + else: + # For JAX, we use bool for missing mask + missing_mask = grid.create_field(cardinality=velocity_set.q, dtype=Precision.BOOL) + + return grid, g_0, g_1, missing_mask, bc_mask + + +def _resolve_cs2(cs2): + """Accept either a number or a velocity set for the ``cs2`` argument. + + Passing the velocity set is the safer form, because it cannot disagree with the + stencil actually being used. + """ + return float(getattr(cs2, "cs2", cs2)) + + +def omega_from_diffusivity(diffusivity, cs2=1.0 / 3.0): + """Relaxation parameter of the scalar populations for a given lattice diffusivity. + + Chapman-Enskog analysis of the BGK advection-diffusion equation gives + ``diffusivity = cs^2 * (1 / omega - 1/2)``, hence:: + + omega = 1 / (diffusivity / cs^2 + 1/2) + + Args: + diffusivity: Scalar diffusivity in lattice units. For the heat equation this is + ``alpha * dt / dx^2`` with ``alpha = k / (rho * cp)``. + cs2: Lattice speed of sound squared, or the velocity set to take it from. + Defaults to 1/3, which is correct for D2Q5, D2Q9, D3Q19 and D3Q27 but + **not** for D3Q7, whose cs^2 is 1/4. Passing the velocity set itself is + the safest form and works for every stencil:: + + omega = omega_from_diffusivity(alpha, cs2=velocity_set) + + Getting this wrong is silent: using the 1/3 default on D3Q7 yields a + diffusivity 25% below the one requested. + + Returns: + The relaxation parameter omega, which must lie in (0, 2) for stability. + """ + return 1.0 / (diffusivity / _resolve_cs2(cs2) + 0.5) + + +def diffusivity_from_omega(omega, cs2=1.0 / 3.0): + """Lattice diffusivity of the scalar populations for a given relaxation parameter. + + Inverse of :func:`omega_from_diffusivity`. + + Args: + omega: Relaxation parameter of the scalar populations. + cs2: Lattice speed of sound squared, or the velocity set to take it from. + Defaults to 1/3. See :func:`omega_from_diffusivity` for why D3Q7 differs. + + Returns: + The scalar diffusivity in lattice units. + """ + return _resolve_cs2(cs2) * (1.0 / omega - 0.5) diff --git a/xlb/operator/boundary_condition/__init__.py b/xlb/operator/boundary_condition/__init__.py index 8be2f226..a762247a 100644 --- a/xlb/operator/boundary_condition/__init__.py +++ b/xlb/operator/boundary_condition/__init__.py @@ -9,3 +9,6 @@ from xlb.operator.boundary_condition.bc_regularized import RegularizedBC from xlb.operator.boundary_condition.bc_extrapolation_outflow import ExtrapolationOutflowBC from xlb.operator.boundary_condition.bc_hybrid import HybridBC +from xlb.operator.boundary_condition.bc_scalar_dirichlet import ScalarDirichletBC +from xlb.operator.boundary_condition.bc_scalar_neumann import ScalarNeumannBC +from xlb.operator.boundary_condition.bc_scalar_outflow import ScalarOutflowBC diff --git a/xlb/operator/boundary_condition/bc_scalar_dirichlet.py b/xlb/operator/boundary_condition/bc_scalar_dirichlet.py new file mode 100644 index 00000000..3a47785c --- /dev/null +++ b/xlb/operator/boundary_condition/bc_scalar_dirichlet.py @@ -0,0 +1,140 @@ +""" +Dirichlet boundary condition for a scalar field (anti-bounce-back). + +Prescribes the value of a transported scalar (e.g. temperature) on a wall located halfway +between the boundary node and the adjacent solid/exterior node. +""" + +import jax.numpy as jnp +from jax import jit +import jax.lax as lax +from functools import partial +import warp as wp +from typing import Any + +from xlb.velocity_set.velocity_set import VelocitySet +from xlb.precision_policy import PrecisionPolicy +from xlb.compute_backend import ComputeBackend +from xlb.operator.operator import Operator +from xlb.operator.boundary_condition.boundary_condition import ( + ImplementationStep, + BoundaryCondition, +) +from xlb.operator.boundary_masker.mesh_voxelization_method import MeshVoxelizationMethod + + +class ScalarDirichletBC(BoundaryCondition): + """ + Anti-bounce-back boundary condition prescribing the value of a transported scalar. + + The missing populations are reconstructed as:: + + g[l] = -g_pre[opp[l]] + 2 * w[l] * value + + which imposes ``phi = value`` halfway between the boundary node and its solid neighbour. + The scheme is consistent with the linear scalar equilibrium of + :class:`~xlb.operator.equilibrium.LinearEquilibrium`, because for that equilibrium + ``g_eq[l] + g_eq[opp[l]] = 2 * w[l] * phi`` regardless of the advecting velocity, and it + places the wall exactly halfway for a source-free problem. + + Note + ---- + In the presence of a volumetric source the wall treatment carries a residual defect of + order *source*, because the incoming and outgoing populations of a wall link are + produced half a time step apart while the source is applied per full step. Since the + lattice source scales as ``dx^2`` under diffusive scaling, the resulting error is second + order in ``dx``, in line with the rest of the scheme. + + Parameters + ---------- + value : float + Prescribed scalar value on the wall (e.g. wall temperature in lattice units). + """ + + def __init__( + self, + value: float = 0.0, + velocity_set: VelocitySet = None, + precision_policy: PrecisionPolicy = None, + compute_backend: ComputeBackend = None, + indices=None, + mesh_vertices=None, + voxelization_method: MeshVoxelizationMethod = None, + ): + # Store the prescribed wall value + self.value = value + + # Call the parent constructor + super().__init__( + ImplementationStep.STREAMING, + velocity_set, + precision_policy, + compute_backend, + indices, + mesh_vertices, + voxelization_method, + ) + + # This BC needs padding for finding missing directions when imposed on a geometry that is in the domain interior + self.needs_padding = True + + @Operator.register_backend(ComputeBackend.JAX) + @partial(jit, static_argnums=(0)) + def jax_implementation(self, f_pre, f_post, bc_mask, missing_mask): + boundary = bc_mask == self.id + new_shape = (self.velocity_set.q,) + boundary.shape[1:] + boundary = lax.broadcast_in_dim(boundary, new_shape, tuple(range(self.velocity_set.d + 1))) + + # Anti-bounce-back on the missing directions + w = self.velocity_set.w.reshape((-1,) + (1,) * self.velocity_set.d) + f_wall = -f_pre[self.velocity_set.opp_indices] + 2.0 * w * self.compute_dtype(self.value) + + return jnp.where(jnp.logical_and(missing_mask, boundary), f_wall, f_post) + + def _construct_warp(self): + # Set local constants + _opp_indices = self.velocity_set.opp_indices + _w = self.velocity_set.w + _value = self.compute_dtype(self.value) + + # Construct the functional for this BC + @wp.func + def functional( + index: Any, + timestep: Any, + missing_mask: Any, + f_0: Any, + f_1: Any, + f_pre: Any, + f_post: Any, + ): + # Post-streaming values are only modified at missing directions + _f = f_post + for l in range(self.velocity_set.q): + if missing_mask[l] == wp.uint8(1): + _f[l] = -f_pre[_opp_indices[l]] + self.compute_dtype(2.0) * _w[l] * _value + + return _f + + kernel = self._construct_kernel(functional) + + return functional, kernel + + @Operator.register_backend(ComputeBackend.WARP) + def warp_implementation(self, f_pre, f_post, bc_mask, missing_mask): + # Launch the warp kernel + wp.launch( + self.warp_kernel, + inputs=[f_pre, f_post, bc_mask, missing_mask], + dim=f_pre.shape[1:], + ) + return f_post + + def _construct_neon(self): + functional, _ = self._construct_warp() + return functional, None + + @Operator.register_backend(ComputeBackend.NEON) + def neon_implementation(self, f_pre, f_post, bc_mask, missing_mask): + # raise exception as this feature is not implemented yet + raise NotImplementedError("This feature is not implemented in XLB with the NEON backend yet.") diff --git a/xlb/operator/boundary_condition/bc_scalar_neumann.py b/xlb/operator/boundary_condition/bc_scalar_neumann.py new file mode 100644 index 00000000..19df0bb8 --- /dev/null +++ b/xlb/operator/boundary_condition/bc_scalar_neumann.py @@ -0,0 +1,170 @@ +""" +Neumann boundary condition for a scalar field (bounce-back with flux injection). + +Prescribes the normal diffusive flux of a transported scalar (e.g. an imposed heat flux or +an adiabatic wall) on a wall located halfway between the boundary node and the adjacent +solid/exterior node. +""" + +import jax.numpy as jnp +from jax import jit +import jax.lax as lax +from functools import partial +import warp as wp +from typing import Any + +from xlb.velocity_set.velocity_set import VelocitySet +from xlb.precision_policy import PrecisionPolicy +from xlb.compute_backend import ComputeBackend +from xlb.operator.operator import Operator +from xlb.operator.boundary_condition.boundary_condition import ( + ImplementationStep, + BoundaryCondition, +) +from xlb.operator.boundary_masker.mesh_voxelization_method import MeshVoxelizationMethod + + +class ScalarNeumannBC(BoundaryCondition): + """ + Bounce-back boundary condition prescribing the normal diffusive flux of a scalar. + + The missing populations are reconstructed as:: + + g[l] = g_pre[opp[l]] + 2 * w[l] * flux / cs^2 + + Plain bounce-back (``flux = 0``) conserves the scalar at the wall and therefore imposes + a zero normal gradient, i.e. an adiabatic wall. The extra term injects the prescribed + amount of scalar per node and per time step: for an axis-aligned wall + ``sum_missing 2 * w[l] / cs^2 = 1``, so the total injection is exactly ``flux``. + + The relation between *flux* and the physical wall heat flux ``q_wall`` of + ``rho * cp * dT/dt = k * laplacian(T)`` is + + flux = alpha_lattice * dT/dn|_wall = q_wall * dt / (rho * cp * dx) + + with ``n`` the outward wall normal, so that a positive *flux* heats the domain. + + Warning + ------- + **Do not use this condition on an outlet or any boundary the fluid crosses.** It is a + wall condition and assumes the fluid does not move through the boundary. + + Bounce-back nulls the antisymmetric part of the closure relation, which imposes zero + **total** normal flux, advective plus diffusive. On a no-slip wall the advective part + is already zero, so this correctly gives an adiabatic wall. On an open boundary the + normal is the direction the fluid crosses, ``c[l] . u != 0`` on the missing link, and + the outgoing scalar is reflected straight back in. Relative to the equilibrium + ``g_eq[l] = w[l] * phi * (1 + c[l] . u / cs^2)`` the reflected population is wrong by + + 2 * w[l] * phi * (c[l] . u) / cs^2 + + per node per step, which acts as a source sitting on the outlet and drives the scalar + out of its physical range within a few thousand steps. Use + :class:`~xlb.operator.boundary_condition.ScalarOutflowBC` for open boundaries. + + Note + ---- + The identity ``sum_missing 2 * w[l] / cs^2 = 1`` holds for flat, axis-aligned walls. + On concave corners and on voxelized curved geometry the injected amount deviates from + the prescribed flux, so a non-zero *flux* should only be used on flat walls. The + adiabatic case (``flux = 0``) is unaffected. + + Parameters + ---------- + flux : float + Prescribed normal flux in lattice units, positive when the scalar enters the domain. + Defaults to ``0.0``, i.e. an adiabatic / zero-gradient wall. + """ + + def __init__( + self, + flux: float = 0.0, + velocity_set: VelocitySet = None, + precision_policy: PrecisionPolicy = None, + compute_backend: ComputeBackend = None, + indices=None, + mesh_vertices=None, + voxelization_method: MeshVoxelizationMethod = None, + ): + # Store the prescribed wall flux + self.flux = flux + + # Call the parent constructor + super().__init__( + ImplementationStep.STREAMING, + velocity_set, + precision_policy, + compute_backend, + indices, + mesh_vertices, + voxelization_method, + ) + + # This BC needs padding for finding missing directions when imposed on a geometry that is in the domain interior + self.needs_padding = True + + @Operator.register_backend(ComputeBackend.JAX) + @partial(jit, static_argnums=(0)) + def jax_implementation(self, f_pre, f_post, bc_mask, missing_mask): + boundary = bc_mask == self.id + new_shape = (self.velocity_set.q,) + boundary.shape[1:] + boundary = lax.broadcast_in_dim(boundary, new_shape, tuple(range(self.velocity_set.d + 1))) + + # Bounce-back on the missing directions, plus the prescribed flux injection + w = self.velocity_set.w.reshape((-1,) + (1,) * self.velocity_set.d) + flux_component = 2.0 * self.velocity_set.inv_cs2 * w * self.compute_dtype(self.flux) + f_wall = f_pre[self.velocity_set.opp_indices] + flux_component + + return jnp.where(jnp.logical_and(missing_mask, boundary), f_wall, f_post) + + def _construct_warp(self): + # Set local constants + _opp_indices = self.velocity_set.opp_indices + _w = self.velocity_set.w + _inv_cs2 = self.velocity_set.inv_cs2 + _flux = self.compute_dtype(self.flux) + + # Construct the functional for this BC + @wp.func + def functional( + index: Any, + timestep: Any, + missing_mask: Any, + f_0: Any, + f_1: Any, + f_pre: Any, + f_post: Any, + ): + # Post-streaming values are only modified at missing directions + _f = f_post + for l in range(self.velocity_set.q): + if missing_mask[l] == wp.uint8(1): + _f[l] = f_pre[_opp_indices[l]] + + if wp.static(self.flux != 0.0): + _f[l] += self.compute_dtype(2.0) * _inv_cs2 * _w[l] * _flux + + return _f + + kernel = self._construct_kernel(functional) + + return functional, kernel + + @Operator.register_backend(ComputeBackend.WARP) + def warp_implementation(self, f_pre, f_post, bc_mask, missing_mask): + # Launch the warp kernel + wp.launch( + self.warp_kernel, + inputs=[f_pre, f_post, bc_mask, missing_mask], + dim=f_pre.shape[1:], + ) + return f_post + + def _construct_neon(self): + functional, _ = self._construct_warp() + return functional, None + + @Operator.register_backend(ComputeBackend.NEON) + def neon_implementation(self, f_pre, f_post, bc_mask, missing_mask): + # raise exception as this feature is not implemented yet + raise NotImplementedError("This feature is not implemented in XLB with the NEON backend yet.") diff --git a/xlb/operator/boundary_condition/bc_scalar_outflow.py b/xlb/operator/boundary_condition/bc_scalar_outflow.py new file mode 100644 index 00000000..9b680daf --- /dev/null +++ b/xlb/operator/boundary_condition/bc_scalar_outflow.py @@ -0,0 +1,208 @@ +""" +Open (outflow) boundary condition for a scalar field. + +Lets a transported scalar leave the domain through a boundary that the fluid crosses, +without imposing a value on it and without reflecting it back into the domain. +""" + +import jax.numpy as jnp +from jax import jit +import jax.lax as lax +from functools import partial +import warp as wp +from typing import Any + +from xlb.velocity_set.velocity_set import VelocitySet +from xlb.precision_policy import PrecisionPolicy +from xlb.compute_backend import ComputeBackend +from xlb.operator.operator import Operator +from xlb.operator.boundary_condition.boundary_condition import ( + ImplementationStep, + BoundaryCondition, +) +from xlb.operator.boundary_masker.mesh_voxelization_method import MeshVoxelizationMethod + + +class ScalarOutflowBC(BoundaryCondition): + """ + Open boundary for a transported scalar, for use where the fluid leaves the domain. + + The missing populations are filled by zeroth-order extrapolation along the boundary + normal, i.e. the node keeps the population it held before streaming:: + + g[l] = g_pre[l] on the missing directions + + which is the zeroth-order population-extrapolation outflow treatment analysed by + Yang (2013). It imposes no value and adds no scalar, so a plume simply convects out. + + Why not bounce-back + ------------------- + It is tempting to use :class:`ScalarNeumannBC` with ``flux = 0`` at an outlet, on the + grounds that an outlet has zero normal gradient. That is wrong, and badly so. + + Bounce-back sets the *antisymmetric* part of the closure relation to zero, which + imposes zero **total** normal flux -- advective plus diffusive. At a solid wall the + fluid does not move through the boundary, the advective part is already zero, and + bounce-back correctly imposes zero diffusive flux. At an outlet the boundary normal + is precisely the direction the fluid crosses, so ``c[l] . u != 0`` on the missing + link, and bounce-back reflects the outgoing scalar back into the domain. Writing the + equilibrium ``g_eq[l] = w[l] * phi * (1 + c[l] . u / cs^2)``, the reflected population + is short by + + 2 * w[l] * phi * (c[l] . u) / cs^2 + + every node and every step. This is a source term sitting on the outlet, not a + zero-gradient condition, and it drives the solution out of the physical range of the + scalar within a few thousand steps. + + The rule of thumb is Ginzburg's symmetric/antisymmetric split: + + ============================== ==================== ========================= + Boundary Correct scheme XLB class + ============================== ==================== ========================= + Wall, ``u = 0``, zero flux bounce-back :class:`ScalarNeumannBC` + Wall, prescribed value anti-bounce-back :class:`ScalarDirichletBC` + Open boundary, ``u . n != 0`` extrapolation this class + ============================== ==================== ========================= + + Convective variant + ------------------ + Setting *u_conv* to a positive value switches to the convective (Sommerfeld) outflow + of Yang (2013), which solves ``d(g)/dt + U d(g)/dn = 0`` along the boundary normal:: + + g[l] = (g_pre[l] + U * g_neighbour[l]) / (1 + U) + + with ``U = u_conv`` the convection speed in lattice units and the neighbour taken one + cell upstream. This is the better choice for strongly unsteady outflow, where coherent + structures crossing the boundary would otherwise leave a residual imprint; for steady + or mildly unsteady flow the two give practically the same answer. ``u_conv = 0`` (the + default) selects plain extrapolation. + + Corners + ------- + Do not give this condition a node that is also a wall. At a node where an outlet meets + a no-slip wall, two directions are missing with different natures: the streamwise one + is open and the wall-normal one is solid. A single per-node condition cannot express + both. The usual remedy, and the one the XLB tutorials follow, is to build the outlet + face with ``bounding_box_indices(remove_edges=True)`` so the corner belongs to the + wall, whose treatment is the more restrictive of the two. + + References + ---------- + Yang, Z. (2013). Lattice Boltzmann outflow treatments: Convective conditions and + others. *Computers & Mathematics with Applications*, 65(2), 160-171. + + Ginzburg, I. (2005). Generic boundary conditions for lattice Boltzmann models and + their application to advection and anisotropic dispersion equations. + *Advances in Water Resources*, 28(11), 1196-1216. + + Parameters + ---------- + u_conv : float + Convection speed for the Sommerfeld variant, in lattice units. Defaults to + ``0.0``, which selects zeroth-order extrapolation. A sensible non-zero choice is + the mean velocity through the outlet. + flow_direction : int + Axis normal to the outlet, used only by the convective variant to locate the + upstream neighbour. Defaults to ``0`` (the x axis). + """ + + def __init__( + self, + u_conv: float = 0.0, + flow_direction: int = 0, + velocity_set: VelocitySet = None, + precision_policy: PrecisionPolicy = None, + compute_backend: ComputeBackend = None, + indices=None, + mesh_vertices=None, + voxelization_method: MeshVoxelizationMethod = None, + ): + self.u_conv = u_conv + self.flow_direction = flow_direction + + # Call the parent constructor + super().__init__( + ImplementationStep.STREAMING, + velocity_set, + precision_policy, + compute_backend, + indices, + mesh_vertices, + voxelization_method, + ) + + # This BC needs padding for finding missing directions when imposed on a geometry + # that is in the domain interior + self.needs_padding = True + + @Operator.register_backend(ComputeBackend.JAX) + @partial(jit, static_argnums=(0)) + def jax_implementation(self, f_pre, f_post, bc_mask, missing_mask): + boundary = bc_mask == self.id + new_shape = (self.velocity_set.q,) + boundary.shape[1:] + boundary = lax.broadcast_in_dim(boundary, new_shape, tuple(range(self.velocity_set.d + 1))) + + if self.u_conv > 0.0: + # Convective (Sommerfeld) outflow: relax towards the upstream neighbour. + # Axis 0 of the population array is the direction index, so the spatial axis + # normal to the outlet is flow_direction + 1. + u_conv = self.compute_dtype(self.u_conv) + f_upstream = jnp.roll(f_post, shift=1, axis=self.flow_direction + 1) + f_open = (f_pre + u_conv * f_upstream) / (1.0 + u_conv) + else: + # Zeroth-order extrapolation: keep the pre-streaming population + f_open = f_pre + + return jnp.where(jnp.logical_and(missing_mask, boundary), f_open, f_post) + + def _construct_warp(self): + # Set local constants + _u_conv = self.compute_dtype(self.u_conv) + _one = self.compute_dtype(1.0) + + # Construct the functional for this BC + @wp.func + def functional( + index: Any, + timestep: Any, + missing_mask: Any, + f_0: Any, + f_1: Any, + f_pre: Any, + f_post: Any, + ): + # Post-streaming values are only modified at missing directions. + # Zeroth-order extrapolation keeps the pre-streaming population, which is a + # purely local operation and therefore the only variant supported on Warp. + _f = f_post + for l in range(self.velocity_set.q): + if missing_mask[l] == wp.uint8(1): + _f[l] = f_pre[l] + + return _f + + kernel = self._construct_kernel(functional) + + return functional, kernel + + @Operator.register_backend(ComputeBackend.WARP) + def warp_implementation(self, f_pre, f_post, bc_mask, missing_mask): + if self.u_conv > 0.0: + raise NotImplementedError("The convective outflow variant is only implemented for the JAX backend; use u_conv = 0.0 on Warp.") + # Launch the warp kernel + wp.launch( + self.warp_kernel, + inputs=[f_pre, f_post, bc_mask, missing_mask], + dim=f_pre.shape[1:], + ) + return f_post + + def _construct_neon(self): + functional, _ = self._construct_warp() + return functional, None + + @Operator.register_backend(ComputeBackend.NEON) + def neon_implementation(self, f_pre, f_post, bc_mask, missing_mask): + # raise exception as this feature is not implemented yet + raise NotImplementedError("This feature is not implemented in XLB with the NEON backend yet.") diff --git a/xlb/operator/collision/forced_collision.py b/xlb/operator/collision/forced_collision.py index 2c2cfa07..fadf754a 100644 --- a/xlb/operator/collision/forced_collision.py +++ b/xlb/operator/collision/forced_collision.py @@ -50,10 +50,20 @@ def __init__( @Operator.register_backend(ComputeBackend.JAX) @partial(jit, static_argnums=(0,)) - def jax_implementation(self, f: jnp.ndarray, feq: jnp.ndarray, omega): + def jax_implementation(self, f: jnp.ndarray, feq: jnp.ndarray, omega, force_vector=None): + """ + Parameters + ---------- + force_vector : jax.numpy.ndarray, optional + Body force for this call, overriding the vector fixed at construction time. + See :class:`~xlb.operator.force.ExactDifference` for why this must be passed + as a traced argument rather than by mutating ``self.force_vector`` when the + force depends on another field (e.g. Boussinesq buoyancy). Defaults to the + vector given at construction time. + """ fout = self.collision_operator(f, feq, omega) rho, u = self.macroscopic(fout) - fout = self.forcing_operator(fout, feq, rho, u) + fout = self.forcing_operator(fout, feq, rho, u, force_vector) return fout def _construct_warp(self): diff --git a/xlb/operator/equilibrium/__init__.py b/xlb/operator/equilibrium/__init__.py index beb7bb5e..4ec7b46e 100644 --- a/xlb/operator/equilibrium/__init__.py +++ b/xlb/operator/equilibrium/__init__.py @@ -1,3 +1,4 @@ from xlb.operator.equilibrium.equilibrium import Equilibrium from xlb.operator.equilibrium.quadratic_equilibrium import QuadraticEquilibrium +from xlb.operator.equilibrium.linear_equilibrium import LinearEquilibrium from xlb.operator.equilibrium.multires_quadratic_equilibrium import MultiresQuadraticEquilibrium diff --git a/xlb/operator/equilibrium/linear_equilibrium.py b/xlb/operator/equilibrium/linear_equilibrium.py new file mode 100644 index 00000000..98e8591c --- /dev/null +++ b/xlb/operator/equilibrium/linear_equilibrium.py @@ -0,0 +1,123 @@ +""" +First-order (linear) equilibrium for a passive scalar. + +Used by the advection-diffusion / thermal populations, where only the +zeroth and first moments need to be recovered. +""" + +from functools import partial +import jax.numpy as jnp +from jax import jit +import warp as wp + +from typing import Any + +from xlb.compute_backend import ComputeBackend +from xlb.operator.equilibrium import Equilibrium +from xlb.operator import Operator + + +class LinearEquilibrium(Equilibrium): + """ + Linear equilibrium of the advection-diffusion equation, truncated at first order in the + advecting velocity:: + + g_eq[l] = w[l] * phi * (1 + (c[l] . u) / cs^2) + + The quadratic terms of :class:`QuadraticEquilibrium` are dropped because the + advection-diffusion equation only requires the zeroth and first moments of the scalar + populations. Keeping the expansion linear also makes the anti-bounce-back Dirichlet + condition exact, since ``g_eq[l] + g_eq[opp[l]] = 2 * w[l] * phi`` for any velocity. + """ + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + @Operator.register_backend(ComputeBackend.JAX) + @partial(jit, static_argnums=(0)) + def jax_implementation(self, phi, u): + cu = self.velocity_set.inv_cs2 * jnp.tensordot(self.velocity_set.c, u, axes=(0, 0)) + w = self.velocity_set.w.reshape((-1,) + (1,) * (len(u.shape) - 1)) + geq = phi * w * (1.0 + cu) + return geq + + def _construct_warp(self): + # Set local constants TODO: This is a hack and should be fixed with warp update + _c = self.velocity_set.c + _w = self.velocity_set.w + _inv_cs2 = self.compute_dtype(self.velocity_set.inv_cs2) + _g_vec = wp.vec(self.velocity_set.q, dtype=self.compute_dtype) + _u_vec = wp.vec(self.velocity_set.d, dtype=self.compute_dtype) + + # Construct the equilibrium functional + @wp.func + def functional( + phi: Any, + u: Any, + ): + # Allocate the equilibrium + geq = _g_vec() + + # Compute the equilibrium + for l in range(self.velocity_set.q): + # Compute cu + cu = self.compute_dtype(0.0) + for d in range(self.velocity_set.d): + if _c[d, l] == 1: + cu += u[d] + elif _c[d, l] == -1: + cu -= u[d] + cu *= _inv_cs2 + + # Compute geq + geq[l] = phi * _w[l] * (self.compute_dtype(1.0) + cu) + + return geq + + # Construct the warp kernel + @wp.kernel + def kernel( + phi: wp.array4d(dtype=Any), + u: wp.array4d(dtype=Any), + g: wp.array4d(dtype=Any), + ): + # Get the global index + i, j, k = wp.tid() + index = wp.vec3i(i, j, k) + + # Get the equilibrium + _u = _u_vec() + for d in range(self.velocity_set.d): + _u[d] = self.compute_dtype(u[d, index[0], index[1], index[2]]) + _phi = self.compute_dtype(phi[0, index[0], index[1], index[2]]) + geq = functional(_phi, _u) + + # Set the output + for l in range(self.velocity_set.q): + g[l, index[0], index[1], index[2]] = self.store_dtype(geq[l]) + + return functional, kernel + + @Operator.register_backend(ComputeBackend.WARP) + def warp_implementation(self, phi, u, g): + # Launch the warp kernel + wp.launch( + self.warp_kernel, + inputs=[ + phi, + u, + g, + ], + dim=phi.shape[1:], + ) + return g + + def _construct_neon(self): + # Use the warp functional for the NEON backend + functional, _ = self._construct_warp() + return functional, None + + @Operator.register_backend(ComputeBackend.NEON) + def neon_implementation(self, phi, u, g): + # raise exception as this feature is not implemented yet + raise NotImplementedError("This feature is not implemented in XLB with the NEON backend yet.") diff --git a/xlb/operator/force/exact_difference_force.py b/xlb/operator/force/exact_difference_force.py index 760a9ef1..6c2f5be4 100644 --- a/xlb/operator/force/exact_difference_force.py +++ b/xlb/operator/force/exact_difference_force.py @@ -15,6 +15,13 @@ class ExactDifference(Operator): """ Add external body force based on the exact-difference method due to Kupershtokh (2004) + On JAX, the force can either be fixed at construction time or supplied fresh on every + call via the ``force_vector`` argument to ``jax_implementation`` -- the latter is + required for a force that depends on another field (e.g. Boussinesq buoyancy driven by + a coupled temperature solver), since reassigning ``self.force_vector`` after + construction has no effect once the JIT-compiled call has been traced once. The Warp + path only supports a single vector fixed at construction time. + References ---------- Kupershtokh, A. (2004). New method of incorporating a body force term into the lattice Boltzmann equation. In @@ -31,7 +38,7 @@ def __init__( precision_policy: PrecisionPolicy = None, compute_backend: ComputeBackend = None, ): - # TODO: currently we are limited to a single force vector not a spatially dependent forcing field + # Now the class accept a force vector at construction time, which is used for the Warp backend and as a default for JAX. self.force_vector = force_vector # Resolve compute_backend the same way Operator.__init__ does, so we @@ -51,7 +58,7 @@ def __init__( @Operator.register_backend(ComputeBackend.JAX) @partial(jit, static_argnums=(0)) - def jax_implementation(self, f_postcollision, feq, rho, u): + def jax_implementation(self, f_postcollision, feq, rho, u, force_vector=None): """ Parameters ---------- @@ -65,12 +72,29 @@ def jax_implementation(self, f_postcollision, feq, rho, u): u: jax.numpy.ndarray The velocity field. + force_vector: jax.numpy.ndarray, optional + Body force for this call, overriding the vector fixed at construction time. + Passing it here (rather than reassigning ``self.force_vector``) is what makes + a time- or field-dependent force (e.g. Boussinesq buoyancy from a coupled + temperature field) actually take effect: ``self.force_vector`` is baked into + the JIT trace as a compile-time constant because ``self`` is a static + argument, so mutating it after the first call has no effect on subsequent + calls with the same shapes. A traced argument is retraced/updated correctly + on every call, at no extra compilation cost as long as its shape and dtype + stay fixed. Defaults to the vector given at construction time. + Returns ------- f_postcollision: jax.numpy.ndarray The post-collision distribution functions with the force applied. """ - delta_u = lax.broadcast_in_dim(self.force_vector, u.shape, (0,)) + if force_vector is None: + force_vector = self.force_vector + if force_vector.ndim == 1: + delta_u = lax.broadcast_in_dim(force_vector, u.shape, (0,)) + else: + assert force_vector.shape == u.shape, f"force_vector has wrong shape {force_vector.shape}, expected {u.shape} or ({u.shape[0]},)" + delta_u = force_vector feq_force = self.equilibrium(rho, u + delta_u) f_postcollision += feq_force - feq return f_postcollision diff --git a/xlb/operator/source/__init__.py b/xlb/operator/source/__init__.py new file mode 100644 index 00000000..f43f7dad --- /dev/null +++ b/xlb/operator/source/__init__.py @@ -0,0 +1,2 @@ +from xlb.operator.source.source import Source +from xlb.operator.source.scalar_source import ScalarSource diff --git a/xlb/operator/source/scalar_source.py b/xlb/operator/source/scalar_source.py new file mode 100644 index 00000000..5482e09b --- /dev/null +++ b/xlb/operator/source/scalar_source.py @@ -0,0 +1,105 @@ +""" +Volumetric source term for the advection-diffusion populations. +""" + +from functools import partial +import jax.numpy as jnp +from jax import jit +import warp as wp +from typing import Any + +from xlb.compute_backend import ComputeBackend +from xlb.operator.source.source import Source +from xlb.operator import Operator + + +class ScalarSource(Source): + """Volumetric source term for a scalar transport equation. + + The source is projected onto the populations with the lattice weights and added after + collision:: + + g_out[l] = g[l] + w[l] * source + + Since the weights sum to one and the projection carries no momentum, the scalar + ``phi = sum_l g[l]`` gains exactly *source* per time step. Chapman-Enskog analysis + shows the recovered equation is + + d(phi)/dt + div(phi * u) = div(diffusivity * grad(phi)) + source - dt / 2 * d(source)/dt + + so the discretization is exact for a source that is constant in time (however it varies + in space) and first order in ``dt`` for a time-dependent one. Because ``dt`` is the + lattice time step, that defect is negligible for any resolved source transient. + + For the heat equation ``rho * cp * dT/dt = k * laplacian(T) + q'''`` the lattice source + is ``source = q''' * dt / (rho * cp)`` in lattice units. + """ + + @Operator.register_backend(ComputeBackend.JAX) + @partial(jit, static_argnums=(0,)) + def jax_implementation(self, g: jnp.ndarray, source: jnp.ndarray): + w = self.velocity_set.w.reshape((-1,) + (1,) * (len(g.shape) - 1)) + gout = g + w * source + return gout + + def _construct_warp(self): + # Set local constants TODO: This is a hack and should be fixed with warp update + _w = self.velocity_set.w + _g_vec = wp.vec(self.velocity_set.q, dtype=self.compute_dtype) + + # Construct the functional + @wp.func + def functional(g: Any, source: Any): + gout = _g_vec() + for l in range(self.velocity_set.q): + gout[l] = g[l] + _w[l] * source + return gout + + # Construct the warp kernel + @wp.kernel + def kernel( + g: wp.array4d(dtype=Any), + source: wp.array4d(dtype=Any), + gout: wp.array4d(dtype=Any), + ): + # Get the global index + i, j, k = wp.tid() + index = wp.vec3i(i, j, k) + + # Load needed values + _g = _g_vec() + for l in range(self.velocity_set.q): + _g[l] = self.compute_dtype(g[l, index[0], index[1], index[2]]) + _source = self.compute_dtype(source[0, index[0], index[1], index[2]]) + + # Apply the source term + _gout = functional(_g, _source) + + # Write the result + for l in range(self.velocity_set.q): + gout[l, index[0], index[1], index[2]] = self.store_dtype(_gout[l]) + + return functional, kernel + + @Operator.register_backend(ComputeBackend.WARP) + def warp_implementation(self, g, source, gout): + # Launch the warp kernel + wp.launch( + self.warp_kernel, + inputs=[ + g, + source, + gout, + ], + dim=g.shape[1:], + ) + return gout + + def _construct_neon(self): + functional, _ = self._construct_warp() + return functional, None + + @Operator.register_backend(ComputeBackend.NEON) + def neon_implementation(self, g, source, gout): + # raise exception as this feature is not implemented yet + raise NotImplementedError("This feature is not implemented in XLB with the NEON backend yet.") diff --git a/xlb/operator/source/source.py b/xlb/operator/source/source.py new file mode 100644 index 00000000..b5634583 --- /dev/null +++ b/xlb/operator/source/source.py @@ -0,0 +1,24 @@ +""" +Base class for Source operators +""" + +from xlb.velocity_set import VelocitySet +from xlb.operator import Operator + + +class Source(Operator): + """ + Base class for source operators. + + Source operators add a volumetric production/consumption term to the populations after + collision. They are the scalar-transport counterpart of the momentum forcing operators + in :mod:`xlb.operator.force`. + """ + + def __init__( + self, + velocity_set: VelocitySet = None, + precision_policy=None, + compute_backend=None, + ): + super().__init__(velocity_set, precision_policy, compute_backend) diff --git a/xlb/operator/stepper/__init__.py b/xlb/operator/stepper/__init__.py index 87c1274f..6382962f 100644 --- a/xlb/operator/stepper/__init__.py +++ b/xlb/operator/stepper/__init__.py @@ -2,3 +2,4 @@ from xlb.operator.stepper.nse_stepper import IncompressibleNavierStokesStepper from xlb.operator.stepper.nse_multires_stepper import MultiresIncompressibleNavierStokesStepper from xlb.operator.stepper.ibm_stepper import IBMStepper +from xlb.operator.stepper.thermal_stepper import ThermalStepper diff --git a/xlb/operator/stepper/nse_stepper.py b/xlb/operator/stepper/nse_stepper.py index ee69750e..4f66e091 100644 --- a/xlb/operator/stepper/nse_stepper.py +++ b/xlb/operator/stepper/nse_stepper.py @@ -226,16 +226,26 @@ def _initialize_auxiliary_data(boundary_conditions, f_1, bc_mask, missing_mask): @Operator.register_backend(ComputeBackend.JAX) @partial(jit, static_argnums=(0,)) - def jax_implementation(self, f_0, f_1, bc_mask, missing_mask, omega, timestep): + def jax_implementation(self, f_0, f_1, bc_mask, missing_mask, omega, timestep, force_vector=None): + """ + Parameters + ---------- + force_vector : jax.numpy.ndarray, optional + Overrides the body force for this step only; only meaningful when the stepper + was constructed with ``force_vector`` (i.e. ``self.collision`` is a + :class:`~xlb.operator.collision.ForcedCollision`). Pass this to drive a + time- or field-dependent force (e.g. Boussinesq buoyancy from a coupled + temperature field). See :class:`~xlb.operator.force.ExactDifference` for the full explanation. + """ if self.streaming_scheme == "pull": - return self.jax_implementation_pull(f_0, f_1, bc_mask, missing_mask, omega, timestep) + return self.jax_implementation_pull(f_0, f_1, bc_mask, missing_mask, omega, timestep, force_vector) elif self.streaming_scheme == "push": - return self.jax_implementation_push(f_0, f_1, bc_mask, missing_mask, omega, timestep) + return self.jax_implementation_push(f_0, f_1, bc_mask, missing_mask, omega, timestep, force_vector) else: raise ValueError(f"Unknown streaming scheme: {self.streaming_scheme}") @partial(jit, static_argnums=(0,)) - def jax_implementation_pull(self, f_0, f_1, bc_mask, missing_mask, omega, timestep): + def jax_implementation_pull(self, f_0, f_1, bc_mask, missing_mask, omega, timestep, force_vector=None): """ Perform a single step of the lattice boltzmann method """ @@ -263,7 +273,10 @@ def jax_implementation_pull(self, f_0, f_1, bc_mask, missing_mask, omega, timest feq = self.equilibrium(rho, u) # Apply collision - f_post_collision = self.collision(f_post_stream, feq, omega) + if force_vector is not None: + f_post_collision = self.collision(f_post_stream, feq, omega, force_vector) + else: + f_post_collision = self.collision(f_post_stream, feq, omega) # Apply collision type boundary conditions for bc in self.boundary_conditions: @@ -282,7 +295,7 @@ def jax_implementation_pull(self, f_0, f_1, bc_mask, missing_mask, omega, timest return f_0, f_1 @partial(jit, static_argnums=(0,)) - def jax_implementation_push(self, f_0, f_1, bc_mask, missing_mask, omega, timestep): + def jax_implementation_push(self, f_0, f_1, bc_mask, missing_mask, omega, timestep, force_vector=None): """ Perform a single step of the lattice boltzmann method """ @@ -300,7 +313,10 @@ def jax_implementation_push(self, f_0, f_1, bc_mask, missing_mask, omega, timest feq = self.equilibrium(rho, u) # Apply collision - f_post_collision = self.collision(f_post_stream, feq, omega) + if force_vector is not None: + f_post_collision = self.collision(f_post_stream, feq, omega, force_vector) + else: + f_post_collision = self.collision(f_post_stream, feq, omega) # Apply collision type boundary conditions for bc in self.boundary_conditions: diff --git a/xlb/operator/stepper/thermal_stepper.py b/xlb/operator/stepper/thermal_stepper.py new file mode 100644 index 00000000..1baf3676 --- /dev/null +++ b/xlb/operator/stepper/thermal_stepper.py @@ -0,0 +1,361 @@ +""" +Single-resolution scalar-transport (thermal) stepper. + +Implements the full LBM step (stream, collide, apply BCs, add source) for a set of scalar +populations on a single-resolution grid. The scalar obeys + + d(phi)/dt + div(phi * u) = div(diffusivity * grad(phi)) + source + +which covers the heat equation (``u = 0``), passive scalar advection-diffusion, and any +volumetric production term. Supports pull streaming on JAX and a pull-only fused kernel on +Warp. +""" + +from functools import partial + +from jax import jit +import warp as wp +from typing import Any + +from xlb import DefaultConfig +from xlb.compute_backend import ComputeBackend +from xlb.operator import Operator +from xlb.operator.stream import Stream +from xlb.operator.collision import BGK +from xlb.operator.equilibrium import LinearEquilibrium +from xlb.operator.macroscopic import ZeroMoment +from xlb.operator.source import ScalarSource +from xlb.operator.stepper import Stepper +from xlb.operator.boundary_condition.boundary_condition import ImplementationStep +from xlb.operator.boundary_masker import IndicesBoundaryMasker +from xlb.helper import check_bc_overlaps +from xlb.helper.thermal_fields import create_thermal_fields +from xlb.cell_type import BC_SOLID + + +class ThermalStepper(Stepper): + """Single-resolution scalar-transport (thermal) LBM stepper. + + Composes streaming, collision, the linear scalar equilibrium, the scalar moment, the + volumetric source, and boundary-condition operators into a complete timestep. + + The transported scalar is the zeroth moment of the populations, so it is recovered with + :class:`~xlb.operator.macroscopic.ZeroMoment` exactly as the density is recovered from + the flow populations. + + The stepper carries its own populations (``g_0``, ``g_1``) and its own boundary masks, + so it is completely independent of the flow solver. Coupling to a flow field is + one-way and explicit: the caller recovers the velocity from the Navier-Stokes + populations and passes it in as the *u* argument. Passing a zero velocity field reduces + the transport equation to the heat equation. + + Parameters + ---------- + grid : Grid + Computational grid. Must be the same grid as the flow solver when coupling. + boundary_conditions : list of BoundaryCondition + Boundary conditions to apply each step. These must be separate objects from the + flow boundary conditions since they carry their own registry ids and act on the + scalar populations (e.g. :class:`ScalarDirichletBC`, :class:`ScalarNeumannBC`). + velocity_set : VelocitySet, optional + Stencil for the scalar populations. Defaults to ``DefaultConfig.velocity_set``, but + a reduced stencil such as ``D2Q5`` is cheaper and sufficient in 2D. + collision_type : str + ``"BGK"``. Higher-order collision models are not meaningful for the linear scalar + equilibrium. + """ + + def __init__( + self, + grid, + boundary_conditions=[], + velocity_set=None, + collision_type="BGK", + ): + # Note: Stepper.__init__ is deliberately bypassed here. It forces the velocity set to + # DefaultConfig.velocity_set, whereas the scalar populations usually live on a + # reduced stencil (e.g. D2Q5) while the flow keeps the default one (e.g. D2Q9). + self.grid = grid + self.boundary_conditions = boundary_conditions + + velocity_set = velocity_set or DefaultConfig.velocity_set + Operator.__init__(self, velocity_set, DefaultConfig.default_precision_policy, DefaultConfig.default_backend) + + # Boundary conditions are constructed by the user before the stepper exists, so they + # default to DefaultConfig.velocity_set, which is the *flow* stencil whenever the two + # solvers are coupled. Re-bind them to the scalar stencil here so that callers never + # have to pass the velocity set twice. + self._adopt_boundary_conditions() + + # Construct the collision operator + if collision_type == "BGK": + self.collision = BGK(self.velocity_set, self.precision_policy, self.compute_backend) + else: + raise ValueError(f"Unsupported collision type for scalar transport: {collision_type}") + + # Construct the operators + self.stream = Stream(self.velocity_set, self.precision_policy, self.compute_backend) + self.equilibrium = LinearEquilibrium(self.velocity_set, self.precision_policy, self.compute_backend) + self.zero_moment = ZeroMoment(self.velocity_set, self.precision_policy, self.compute_backend) + self.source = ScalarSource(self.velocity_set, self.precision_policy, self.compute_backend) + + def _adopt_boundary_conditions(self): + """Re-bind the boundary conditions to the stepper's stencil and precision. + + Re-running ``Operator.__init__`` also rebuilds the backend functionals and kernels, + which is required because they close over the stencil at construction time. The BC + registry id and its indices are set outside of ``Operator.__init__`` and so survive. + """ + for bc in self.boundary_conditions: + if bc.velocity_set is self.velocity_set and bc.compute_backend == self.compute_backend: + continue + Operator.__init__(bc, self.velocity_set, self.precision_policy, self.compute_backend) + + def prepare_fields(self, phi_init=0.0): + """Prepare the scalar populations and boundary masks required for the stepper. + + Args: + phi_init: Initial scalar value. Either a scalar (uniform initialization) or a + field of cardinality 1 holding the initial scalar distribution. + + Returns: + Tuple of (g_0, g_1, bc_mask, missing_mask): + - g_0: Initial scalar distribution functions + - g_1: Copy of g_0 for double-buffering + - bc_mask: Boundary condition mask indicating which BC applies to each node + - missing_mask: Mask indicating which populations are missing at boundary nodes + """ + # Create fields using the helper function + _, g_0, g_1, missing_mask, bc_mask = create_thermal_fields( + grid=self.grid, velocity_set=self.velocity_set, compute_backend=self.compute_backend, precision_policy=self.precision_policy + ) + + # The scalar boundary conditions provided by XLB are all local in the populations and + # therefore need none of the auxiliary-data machinery of the Navier-Stokes stepper. + for bc in self.boundary_conditions: + if bc.needs_aux_init: + raise ValueError(f"Boundary condition {bc.__class__.__name__} requires auxiliary data and is not supported for scalar transport") + + # Process boundary conditions and update masks + bc_mask, missing_mask = self._process_boundary_conditions(self.boundary_conditions, bc_mask, missing_mask) + + # Initialize the populations at equilibrium with a zero advecting velocity, which for + # the linear scalar equilibrium is simply g[l] = w[l] * phi_init + g_0 = self._initialize_eq(g_0, phi_init) + + # Copy g_0 using backend-specific copy to g_1 + if self.compute_backend == ComputeBackend.JAX: + g_1 = g_0.copy() + if self.compute_backend == ComputeBackend.WARP: + wp.copy(g_1, g_0) + + return g_0, g_1, bc_mask, missing_mask + + def prepare_aux_fields(self): + """Allocate the advecting velocity and volumetric source fields. + + Both are zero-filled, which makes the stepper solve the pure heat equation out of + the box. Fill the velocity field from the flow solver to enable advection, and the + source field with ``q''' * dt / (rho * cp)`` to enable volumetric heating. + + Returns: + Tuple of (u, source) fields, of cardinality d and 1 respectively. + """ + u = self.grid.create_field(cardinality=self.velocity_set.d, dtype=self.precision_policy.store_precision) + source = self.grid.create_field(cardinality=1, dtype=self.precision_policy.store_precision) + return u, source + + def _initialize_eq(self, g_0, phi_init): + """Initialize the scalar populations at rest equilibrium for the given scalar value.""" + if isinstance(phi_init, (int, float)): + phi = self.grid.create_field(cardinality=1, fill_value=float(phi_init), dtype=self.precision_policy.compute_precision) + else: + phi = phi_init + u = self.grid.create_field(cardinality=self.velocity_set.d, fill_value=0.0, dtype=self.precision_policy.compute_precision) + + if self.compute_backend == ComputeBackend.JAX: + g_0 = self.equilibrium(phi, u) + else: + g_0 = self.equilibrium(phi, u, g_0) + + del u + return g_0 + + def _process_boundary_conditions(self, boundary_conditions, bc_mask, missing_mask): + """Process boundary conditions and update boundary masks.""" + + # Check for boundary condition overlaps + check_bc_overlaps(boundary_conditions, self.velocity_set.d, self.compute_backend) + + # Create boundary masker using the scalar velocity set rather than the default one + indices_masker = IndicesBoundaryMasker( + velocity_set=self.velocity_set, + precision_policy=self.precision_policy, + compute_backend=self.compute_backend, + grid=self.grid, + ) + + bc_with_indices = [bc for bc in boundary_conditions if bc.indices is not None] + if len(bc_with_indices) != len(boundary_conditions): + raise ValueError("Scalar boundary conditions must be specified with indices; mesh-based scalar BCs are not supported yet") + + if bc_with_indices: + bc_mask, missing_mask = indices_masker(bc_with_indices, bc_mask, missing_mask) + + return bc_mask, missing_mask + + @Operator.register_backend(ComputeBackend.JAX) + @partial(jit, static_argnums=(0,)) + def jax_implementation(self, g_0, g_1, u, source, bc_mask, missing_mask, omega, timestep): + """ + Perform a single scalar-transport step of the lattice Boltzmann method + """ + # Cast to compute precision + g_0 = self.precision_policy.cast_to_compute_jax(g_0) + u = self.precision_policy.cast_to_compute_jax(u) + source = self.precision_policy.cast_to_compute_jax(source) + + # Apply streaming + g_post_stream = self.stream(g_0) + + # Apply boundary conditions + for bc in self.boundary_conditions: + if bc.implementation_step == ImplementationStep.STREAMING: + g_post_stream = bc( + g_0, + g_post_stream, + bc_mask, + missing_mask, + ) + + # Compute the macroscopic scalar + phi = self.zero_moment(g_post_stream) + + # Compute equilibrium + geq = self.equilibrium(phi, u) + + # Apply collision + g_post_collision = self.collision(g_post_stream, geq, omega) + + # Apply the volumetric source term + g_post_collision = self.source(g_post_collision, source) + + # Apply collision type boundary conditions + for bc in self.boundary_conditions: + if bc.implementation_step == ImplementationStep.COLLISION: + g_post_collision = bc( + g_post_stream, + g_post_collision, + bc_mask, + missing_mask, + ) + + # Copy back to store precision + g_1 = self.precision_policy.cast_to_store_jax(g_post_collision) + + return g_0, g_1 + + def _construct_warp(self): + # Set local constants + _g_vec = wp.vec(self.velocity_set.q, dtype=self.compute_dtype) + _missing_mask_vec = wp.vec(self.velocity_set.q, dtype=wp.uint8) + _u_vec = wp.vec(self.velocity_set.d, dtype=self.compute_dtype) + + @wp.func + def apply_bc( + index: Any, + timestep: Any, + _boundary_id: Any, + _missing_mask: Any, + g_0: Any, + g_1: Any, + g_pre: Any, + g_post: Any, + is_post_streaming: bool, + ): + g_result = g_post + + # Unroll the loop over boundary conditions + for i in range(wp.static(len(self.boundary_conditions))): + if is_post_streaming: + if wp.static(self.boundary_conditions[i].implementation_step == ImplementationStep.STREAMING): + if _boundary_id == wp.static(self.boundary_conditions[i].id): + g_result = wp.static(self.boundary_conditions[i].warp_functional)(index, timestep, _missing_mask, g_0, g_1, g_pre, g_post) + else: + if wp.static(self.boundary_conditions[i].implementation_step == ImplementationStep.COLLISION): + if _boundary_id == wp.static(self.boundary_conditions[i].id): + g_result = wp.static(self.boundary_conditions[i].warp_functional)(index, timestep, _missing_mask, g_0, g_1, g_pre, g_post) + return g_result + + @wp.func + def get_thread_data( + g0_buffer: wp.array4d(dtype=Any), + missing_mask: wp.array4d(dtype=Any), + index: Any, + ): + # Read thread data for populations + _g0_thread = _g_vec() + _missing_mask = _missing_mask_vec() + for l in range(self.velocity_set.q): + # q-sized vector of pre-streaming populations + _g0_thread[l] = self.compute_dtype(g0_buffer[l, index[0], index[1], index[2]]) + _missing_mask[l] = missing_mask[l, index[0], index[1], index[2]] + + return _g0_thread, _missing_mask + + @wp.kernel + def kernel( + g_0: wp.array4d(dtype=Any), + g_1: wp.array4d(dtype=Any), + u: wp.array4d(dtype=Any), + source: wp.array4d(dtype=Any), + bc_mask: wp.array4d(dtype=Any), + missing_mask: wp.array4d(dtype=Any), + omega: Any, + timestep: int, + ): + i, j, k = wp.tid() + index = wp.vec3i(i, j, k) + + _boundary_id = bc_mask[0, index[0], index[1], index[2]] + if _boundary_id == wp.uint8(BC_SOLID): + return + + # Apply streaming + _g_post_stream = self.stream.warp_functional(g_0, index) + + _g0_thread, _missing_mask = get_thread_data(g_0, missing_mask, index) + _g_post_collision = _g0_thread + + # Apply post-streaming boundary conditions + _g_post_stream = apply_bc(index, timestep, _boundary_id, _missing_mask, g_0, g_1, _g_post_collision, _g_post_stream, True) + + # Read the advecting velocity and the volumetric source + _u = _u_vec() + for d in range(self.velocity_set.d): + _u[d] = self.compute_dtype(u[d, index[0], index[1], index[2]]) + _source = self.compute_dtype(source[0, index[0], index[1], index[2]]) + + _phi = self.zero_moment.warp_functional(_g_post_stream) + _geq = self.equilibrium.warp_functional(_phi, _u) + _g_post_collision = self.collision.warp_functional(_g_post_stream, _geq, omega) + _g_post_collision = self.source.warp_functional(_g_post_collision, _source) + + # Apply post-collision boundary conditions + _g_post_collision = apply_bc(index, timestep, _boundary_id, _missing_mask, g_0, g_1, _g_post_stream, _g_post_collision, False) + + # Store the result in g_1 + for l in range(self.velocity_set.q): + g_1[l, index[0], index[1], index[2]] = self.store_dtype(_g_post_collision[l]) + + return None, kernel + + @Operator.register_backend(ComputeBackend.WARP) + def warp_implementation(self, g_0, g_1, u, source, bc_mask, missing_mask, omega, timestep): + wp.launch( + self.warp_kernel, + inputs=[g_0, g_1, u, source, bc_mask, missing_mask, omega, timestep], + dim=g_0.shape[1:], + device=g_0.device, + ) + return g_0, g_1 diff --git a/xlb/velocity_set/__init__.py b/xlb/velocity_set/__init__.py index 5b7b737f..93c81fe9 100644 --- a/xlb/velocity_set/__init__.py +++ b/xlb/velocity_set/__init__.py @@ -1,4 +1,6 @@ from xlb.velocity_set.velocity_set import VelocitySet +from xlb.velocity_set.d2q5 import D2Q5 from xlb.velocity_set.d2q9 import D2Q9 +from xlb.velocity_set.d3q7 import D3Q7 from xlb.velocity_set.d3q19 import D3Q19 from xlb.velocity_set.d3q27 import D3Q27 diff --git a/xlb/velocity_set/d2q5.py b/xlb/velocity_set/d2q5.py new file mode 100644 index 00000000..eab5c165 --- /dev/null +++ b/xlb/velocity_set/d2q5.py @@ -0,0 +1,29 @@ +# Description: Lattice class for 2D D2Q5 lattice. + +import numpy as np + +from xlb.velocity_set.velocity_set import VelocitySet + + +class D2Q5(VelocitySet): + """ + Velocity Set for 2D D2Q5 lattice. + + D2Q5 stands for two-dimensional five-velocity model. It is the minimal stencil that + recovers the advection-diffusion equation and is therefore the cheapest choice for a + passive scalar such as temperature. It cannot be used for Navier-Stokes because its + fourth-order moments are not isotropic. + + The weights are chosen such that the lattice speed of sound is cs^2 = 1/3, matching + the value assumed by :class:`VelocitySet` and used by D2Q9 / D3Q19 / D3Q27. + """ + + def __init__(self, precision_policy, compute_backend): + # Construct the velocity vectors and weights + cx = [0, 0, 0, 1, -1] + cy = [0, 1, -1, 0, 0] + c = np.array(tuple(zip(cx, cy))).T + w = np.array([1 / 3, 1 / 6, 1 / 6, 1 / 6, 1 / 6]) + + # Call the parent constructor + super().__init__(2, 5, c, w, precision_policy=precision_policy, compute_backend=compute_backend) diff --git a/xlb/velocity_set/d3q7.py b/xlb/velocity_set/d3q7.py new file mode 100644 index 00000000..a7a05242 --- /dev/null +++ b/xlb/velocity_set/d3q7.py @@ -0,0 +1,44 @@ +# Description: Lattice class for 3D D3Q7 lattice. + +import numpy as np + +from xlb.velocity_set.velocity_set import VelocitySet + + +class D3Q7(VelocitySet): + """ + Velocity Set for 3D D3Q7 lattice. + + D3Q7 stands for three-dimensional seven-velocity model. It is the minimal stencil that + recovers the advection-diffusion equation in 3D and is therefore the cheapest choice for + a passive scalar such as temperature. It is the three-dimensional counterpart of + :class:`D2Q5`, and like D2Q5 it cannot be used for Navier-Stokes because its + fourth-order moments are not isotropic. + + Note on the speed of sound. Unlike every other stencil in XLB, D3Q7 does **not** have + cs^2 = 1/3. With w_0 = 1/4 for the rest population and w_i = 1/8 for the six + axis-aligned directions the moments are + + sum_i w_i = 1 + sum_i w_i c_ia c_ib = cs^2 delta_ab with cs^2 = 1/4 + + and cs^2 = 1/3 is simply not reachable on this stencil: six axis directions of equal + weight w give sum_i w_i c_ia c_ib = 2w, so cs^2 = 1/3 would force w = 1/6 and hence + w_0 = 0, degenerating the rest population. + + :class:`VelocitySet` derives cs^2 from the stencil, so this is handled automatically. + When choosing a relaxation rate, pass the matching value explicitly:: + + omega = omega_from_diffusivity(alpha, cs2=velocity_set.cs2) + """ + + def __init__(self, precision_policy, compute_backend): + # Construct the velocity vectors and weights + cx = [0, 0, 0, 0, 0, 1, -1] + cy = [0, 1, -1, 0, 0, 0, 0] + cz = [0, 0, 0, 1, -1, 0, 0] + c = np.array(tuple(zip(cx, cy, cz))).T + w = np.array([1 / 4, 1 / 8, 1 / 8, 1 / 8, 1 / 8, 1 / 8, 1 / 8]) + + # Call the parent constructor + super().__init__(3, 7, c, w, precision_policy=precision_policy, compute_backend=compute_backend) diff --git a/xlb/velocity_set/velocity_set.py b/xlb/velocity_set/velocity_set.py index 6f9634b2..269d71e0 100644 --- a/xlb/velocity_set/velocity_set.py +++ b/xlb/velocity_set/velocity_set.py @@ -71,10 +71,27 @@ def _init_numpy_properties(self, c, w): self._c_float = self._c.astype(np.float64) self._qi = self._construct_qi() - # Constants in NumPy - self.cs = np.float64(math.sqrt(3) / 3.0) - self.cs2 = np.float64(1.0 / 3.0) - self.inv_cs2 = np.float64(3.0) + # Constants in NumPy. The lattice speed of sound follows from the second moment + # of the weights, sum_i w_i c_ia c_ib = cs^2 delta_ab, so we derive it from the + # stencil rather than assuming 1/3. Every stencil used for Navier-Stokes + # (D2Q9, D3Q19, D3Q27) and the D2Q5 scalar stencil give cs^2 = 1/3, but the + # minimal 3D scalar stencil D3Q7 gives cs^2 = 1/4. + second_moment = np.einsum("i,ai,bi->ab", self._w, self._c, self._c) + cs2 = float(second_moment[0, 0]) + if not np.allclose(second_moment, cs2 * np.eye(self.d)): + raise ValueError( + f"Velocity set is not isotropic at second order: sum_i w_i c_ia c_ib = " + f"{second_moment.tolist()} is not proportional to the identity." + ) + # Snap to the exact rational when the sum is within floating-point noise of it, + # so that inv_cs2 stays bit-for-bit 3.0 (or 4.0) rather than 3.000000000000001. + for exact in (1.0 / 3.0, 1.0 / 4.0): + if abs(cs2 - exact) < 1e-12: + cs2 = exact + break + self.cs = np.float64(math.sqrt(cs2)) + self.cs2 = np.float64(cs2) + self.inv_cs2 = np.float64(1.0 / cs2) # Indices self.main_indices = self._construct_main_indices()