Exemple #1
0
def run(order=1,
        static_cond=False,
        meshfile=def_meshfile,
        visualization=False):

    mesh = mfem.Mesh(meshfile, 1, 1)
    dim = mesh.Dimension()

    #   3. Refine the mesh to increase the resolution. In this example we do
    #      'ref_levels' of uniform refinement. We choose 'ref_levels' to be the
    #      largest number that gives a final mesh with no more than 50,000
    #      elements.
    ref_levels = int(np.floor(
        np.log(50000. / mesh.GetNE()) / np.log(2.) / dim))
    for x in range(ref_levels):
        mesh.UniformRefinement()

    #5. Define a finite element space on the mesh. Here we use vector finite
    #   elements, i.e. dim copies of a scalar finite element space. The vector
    #   dimension is specified by the last argument of the FiniteElementSpace
    #   constructor. For NURBS meshes, we use the (degree elevated) NURBS space
    #   associated with the mesh nodes.
    if order > 0:
        fec = mfem.H1_FECollection(order, dim)
    elif mesh.GetNodes():
        fec = mesh.GetNodes().OwnFEC()
        prinr("Using isoparametric FEs: " + str(fec.Name()))
    else:
        order = 1
        fec = mfem.H1_FECollection(order, dim)
    fespace = mfem.FiniteElementSpace(mesh, fec)
    print('Number of finite element unknowns: ' + str(fespace.GetTrueVSize()))
    # 5. Determine the list of true (i.e. conforming) essential boundary dofs.
    #    In this example, the boundary conditions are defined by marking all
    #    the boundary attributes from the mesh as essential (Dirichlet) and
    #    converting them to a list of true dofs.
    ess_tdof_list = mfem.intArray()
    if mesh.bdr_attributes.Size() > 0:
        ess_bdr = mfem.intArray([1] * mesh.bdr_attributes.Max())
        ess_bdr = mfem.intArray(mesh.bdr_attributes.Max())
        ess_bdr.Assign(1)
        fespace.GetEssentialTrueDofs(ess_bdr, ess_tdof_list)
    #6. Set up the linear form b(.) which corresponds to the right-hand side of
    #   the FEM linear system, which in this case is (1,phi_i) where phi_i are
    #   the basis functions in the finite element fespace.
    b = mfem.LinearForm(fespace)
    one = mfem.ConstantCoefficient(1.0)
    b.AddDomainIntegrator(mfem.DomainLFIntegrator(one))
    b.Assemble()
    #7. Define the solution vector x as a finite element grid function
    #   corresponding to fespace. Initialize x with initial guess of zero,
    #   which satisfies the boundary conditions.
    x = mfem.GridFunction(fespace)
    x.Assign(0.0)
    #8. Set up the bilinear form a(.,.) on the finite element space
    #   corresponding to the Laplacian operator -Delta, by adding the Diffusion
    #   domain integrator.
    a = mfem.BilinearForm(fespace)
    a.AddDomainIntegrator(mfem.DiffusionIntegrator(one))
    #9. Assemble the bilinear form and the corresponding linear system,
    #   applying any necessary transformations such as: eliminating boundary
    #   conditions, applying conforming constraints for non-conforming AMR,
    #   static condensation, etc.
    if static_cond: a.EnableStaticCondensation()
    a.Assemble()

    A = mfem.OperatorPtr()
    B = mfem.Vector()
    X = mfem.Vector()

    a.FormLinearSystem(ess_tdof_list, x, b, A, X, B)
    print("Size of linear system: " + str(A.Height()))

    # 10. Solve
    AA = mfem.OperatorHandle2SparseMatrix(A)
    M = mfem.GSSmoother(AA)
    mfem.PCG(AA, M, B, X, 1, 200, 1e-12, 0.0)

    # 11. Recover the solution as a finite element grid function.
    a.RecoverFEMSolution(X, b, x)
    # 12. Save the refined mesh and the solution. This output can be viewed later
    #     using GLVis: "glvis -m refined.mesh -g sol.gf".
    mesh.Print('refined.mesh', 8)
    x.Save('sol.gf', 8)

    #13. Send the solution by socket to a GLVis server.
    if (visualization):
        sol_sock = mfem.socketstream("localhost", 19916)
        sol_sock.precision(8)
        sol_sock.send_solution(mesh, x)
Exemple #2
0
    print("Number of unknowns: " + str(cdofs))

    # 12. Assemble the stiffness matrix and the right-hand side.
    a.Assemble()
    b.Assemble()

    # 13. Set Dirichlet boundary values in the GridFunction x.
    #     Determine the list of Dirichlet true DOFs in the linear system.
    ess_tdof_list = intArray()
    x.ProjectBdrCoefficient(zero, ess_bdr)
    fespace.GetEssentialTrueDofs(ess_bdr, ess_tdof_list)

    # 14. Create the linear system: eliminate boundary conditions, constrain
    #     hanging nodes and possibly apply other transformations. The system
    #     will be solved for true (unconstrained) DOFs only.
    A = mfem.OperatorPtr()
    B = mfem.Vector()
    X = mfem.Vector()
    copy_interior = 1
    a.FormLinearSystem(ess_tdof_list, x, b, A, X, B, copy_interior)

    #  15. Define a simple symmetric Gauss-Seidel preconditioner and use it to
    #     solve the linear system with PCG.
    AA = mfem.OperatorHandle2SparseMatrix(A)
    M = mfem.GSSmoother(AA)
    mfem.PCG(AA, M, B, X, 3, 200, 1e-12, 0.0)

    # 16. After solving the linear system, reconstruct the solution as a
    #     finite element GridFunction. Constrained nodes are interpolated
    #     from true DOFs (it may therefore happen that x.Size() >= X.Size()).
    a.RecoverFEMSolution(X, b, x)