File: demo_stokes.py

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# Copyright (C) 2022 Jørgen S. Dokken
#
# This file is part of DOLFINX_MPC
#
# SPDX-License-Identifier:    MIT
#
# This demo illustrates how to apply a slip condition on an
# interface not aligned with the coordiante axis.
# The demos solves the Stokes problem


import dolfinx_mpc.utils
import gmsh
import numpy as np
import scipy.sparse.linalg
from dolfinx import fem, io
from dolfinx.common import Timer, TimingType, list_timings
from dolfinx.io import gmshio
from dolfinx_mpc import LinearProblem, MultiPointConstraint
from mpi4py import MPI
from numpy.typing import NDArray
from petsc4py import PETSc
from ufl import (FacetNormal, FiniteElement, Identity, Measure, TestFunctions,
                 TrialFunctions, VectorElement, div, dot, dx, grad, inner,
                 outer, sym)
from ufl.core.expr import Expr


def create_mesh_gmsh(L: int = 2, H: int = 1, res: float = 0.1, theta: float = np.pi / 5,
                     wall_marker: int = 1, outlet_marker: int = 2, inlet_marker: int = 3):
    """
    Create a channel of length L, height H, rotated theta degrees
    around origin, with facet markers for inlet, outlet and walls.


    Parameters
    ----------
    L
        The length of the channel
    H
        Width of the channel
    res
        Mesh resolution (uniform)
    theta
        Rotation angle
    wall_marker
        Integer used to mark the walls of the channel
    outlet_marker
        Integer used to mark the outlet of the channel
    inlet_marker
        Integer used to mark the inlet of the channel
    """
    gmsh.initialize()
    if MPI.COMM_WORLD.rank == 0:
        gmsh.model.add("Square duct")

        # Create rectangular channel
        channel = gmsh.model.occ.addRectangle(0, 0, 0, L, H)
        gmsh.model.occ.synchronize()

        # Find entity markers before rotation
        surfaces = gmsh.model.occ.getEntities(dim=1)
        walls = []
        inlets = []
        outlets = []
        for surface in surfaces:
            com = gmsh.model.occ.getCenterOfMass(surface[0], surface[1])
            if np.allclose(com, [0, H / 2, 0]):
                inlets.append(surface[1])
            elif np.allclose(com, [L, H / 2, 0]):
                outlets.append(surface[1])
            elif np.isclose(com[1], 0) or np.isclose(com[1], H):
                walls.append(surface[1])
        # Rotate channel theta degrees in the xy-plane
        gmsh.model.occ.rotate([(2, channel)], 0, 0, 0,
                              0, 0, 1, theta)
        gmsh.model.occ.synchronize()

        # Add physical markers
        gmsh.model.addPhysicalGroup(2, [channel], 1)
        gmsh.model.setPhysicalName(2, 1, "Fluid volume")
        gmsh.model.addPhysicalGroup(1, walls, wall_marker)
        gmsh.model.setPhysicalName(1, wall_marker, "Walls")
        gmsh.model.addPhysicalGroup(1, inlets, inlet_marker)
        gmsh.model.setPhysicalName(1, inlet_marker, "Fluid inlet")
        gmsh.model.addPhysicalGroup(1, outlets, outlet_marker)
        gmsh.model.setPhysicalName(1, outlet_marker, "Fluid outlet")

        # Set number of threads used for mesh
        gmsh.option.setNumber("Mesh.MaxNumThreads1D", MPI.COMM_WORLD.size)
        gmsh.option.setNumber("Mesh.MaxNumThreads2D", MPI.COMM_WORLD.size)
        gmsh.option.setNumber("Mesh.MaxNumThreads3D", MPI.COMM_WORLD.size)

        # Set uniform mesh size
        gmsh.option.setNumber("Mesh.CharacteristicLengthMin", res)
        gmsh.option.setNumber("Mesh.CharacteristicLengthMax", res)

        # Generate mesh
        gmsh.model.mesh.generate(2)
    # Convert gmsh model to DOLFINx Mesh and meshtags
    mesh, _, ft = gmshio.model_to_mesh(gmsh.model, MPI.COMM_WORLD, 0, gdim=2)
    gmsh.finalize()
    return mesh, ft


# ------------------- Mesh and function space creation ------------------------
mesh, mt = create_mesh_gmsh(res=0.1)

fdim = mesh.topology.dim - 1
# Create the function space
P2 = VectorElement("Lagrange", mesh.ufl_cell(), 2)
P1 = FiniteElement("Lagrange", mesh.ufl_cell(), 1)
TH = P2 * P1
W = fem.FunctionSpace(mesh, TH)
V, V_to_W = W.sub(0).collapse()
Q, _ = W.sub(1).collapse()


def inlet_velocity_expression(x: NDArray[np.float64]) -> NDArray[np.bool_]:
    return np.stack((np.sin(np.pi * np.sqrt(x[0]**2 + x[1]**2)),
                     5 * x[1] * np.sin(np.pi * np.sqrt(x[0]**2 + x[1]**2))))


# ----------------------Defining boundary conditions----------------------
# Inlet velocity Dirichlet BC
inlet_velocity = fem.Function(V)
inlet_velocity.interpolate(inlet_velocity_expression)
inlet_velocity.x.scatter_forward()
W0 = W.sub(0)
dofs = fem.locate_dofs_topological((W0, V), 1, mt.find(3))
bc1 = fem.dirichletbc(inlet_velocity, dofs, W0)

# Collect Dirichlet boundary conditions
bcs = [bc1]
# Slip conditions for walls
n = dolfinx_mpc.utils.create_normal_approximation(V, mt, 1)
with Timer("~Stokes: Create slip constraint"):
    mpc = MultiPointConstraint(W)
    mpc.create_slip_constraint(W.sub(0), (mt, 1), n, bcs=bcs)
mpc.finalize()


def tangential_proj(u: Expr, n: Expr):
    """
    See for instance:
    https://link.springer.com/content/pdf/10.1023/A:1022235512626.pdf
    """
    return (Identity(u.ufl_shape[0]) - outer(n, n)) * u


def sym_grad(u: Expr):
    return sym(grad(u))


def T(u: Expr, p: Expr, mu: Expr):
    return 2 * mu * sym_grad(u) - p * Identity(u.ufl_shape[0])


# --------------------------Variational problem---------------------------
# Traditional terms
mu = 1
f = fem.Constant(mesh, PETSc.ScalarType((0, 0)))
(u, p) = TrialFunctions(W)
(v, q) = TestFunctions(W)
a = (2 * mu * inner(sym_grad(u), sym_grad(v))
     - inner(p, div(v))
     - inner(div(u), q)) * dx
L = inner(f, v) * dx

# No prescribed shear stress
n = FacetNormal(mesh)
g_tau = tangential_proj(fem.Constant(mesh, PETSc.ScalarType(((0, 0), (0, 0)))) * n, n)
ds = Measure("ds", domain=mesh, subdomain_data=mt, subdomain_id=1)

# Terms due to slip condition
# Explained in for instance: https://arxiv.org/pdf/2001.10639.pdf
a -= inner(outer(n, n) * dot(T(u, p, mu), n), v) * ds
L += inner(g_tau, v) * ds

# Solve linear problem
petsc_options = {"ksp_type": "preonly", "pc_type": "lu", "pc_factor_solver_type": "mumps"}
problem = LinearProblem(a, L, mpc, bcs=bcs, petsc_options=petsc_options)
U = problem.solve()

# ------------------------------ Output ----------------------------------
u = U.sub(0).collapse()
p = U.sub(1).collapse()
u.name = "u"
p.name = "p"

with io.VTXWriter(mesh.comm, "results/demo_stokes_u.bp", u) as vtx:
    vtx.write(0.0)
with io.VTXWriter(mesh.comm, "results/demo_stokes_p.bp", p) as vtx:
    vtx.write(0.0)

# -------------------- Verification --------------------------------
# Transfer data from the MPC problem to numpy arrays for comparison
with Timer("~Stokes: Verification of problem by global matrix reduction"):

    # Solve the MPC problem using a global transformation matrix
    # and numpy solvers to get reference values
    # Generate reference matrices and unconstrained solution
    bilinear_form = fem.form(a)
    A_org = fem.petsc.assemble_matrix(bilinear_form, bcs)
    A_org.assemble()
    linear_form = fem.form(L)
    L_org = fem.petsc.assemble_vector(linear_form)

    fem.petsc.apply_lifting(L_org, [bilinear_form], [bcs])
    L_org.ghostUpdate(addv=PETSc.InsertMode.ADD_VALUES, mode=PETSc.ScatterMode.REVERSE)
    fem.petsc.set_bc(L_org, bcs)
    root = 0
    dolfinx_mpc.utils.compare_mpc_lhs(A_org, problem.A, mpc, root=root)
    dolfinx_mpc.utils.compare_mpc_rhs(L_org, problem.b, mpc, root=root)

    # Gather LHS, RHS and solution on one process
    A_csr = dolfinx_mpc.utils.gather_PETScMatrix(A_org, root=root)
    K = dolfinx_mpc.utils.gather_transformation_matrix(mpc, root=root)
    L_np = dolfinx_mpc.utils.gather_PETScVector(L_org, root=root)
    u_mpc = dolfinx_mpc.utils.gather_PETScVector(U.vector, root=root)

    if MPI.COMM_WORLD.rank == root:
        KTAK = K.T * A_csr * K
        reduced_L = K.T @ L_np
        # Solve linear system
        d = scipy.sparse.linalg.spsolve(KTAK, reduced_L)
        # Back substitution to full solution vector
        uh_numpy = K @ d
        assert np.allclose(uh_numpy, u_mpc)

# -------------------- List timings --------------------------
list_timings(MPI.COMM_WORLD, [TimingType.wall])