def mesh_randomizer_2d(mesh, percentage, preserve_boundary=True):
    """
    Randomly perturb a given mesh.

    Args:
        mesh: Input mesh.
        percentage: Maximum perturbation in percentage of mesh.hmin().
        preserve_boundary: Whether to move the vertices on the boundary.
    Returns:
        rmesh: The perturbed mesh.
    """
    # Generate a deep copy of the mesh
    rmesh = Mesh(mesh)
    meshsize = rmesh.hmin()
    # Randomly perturbed the mesh
    radius = np.random.rand(rmesh.num_vertices()) * percentage * meshsize
    theta = np.random.rand(rmesh.num_vertices()) * 2.0 * np.pi
    deltax = np.zeros([rmesh.num_vertices(), 2])
    deltax[:, 0] = (radius * np.sin(theta)).transpose()
    deltax[:, 1] = (radius * np.cos(theta)).transpose()
    # What to do with the boundary vertices
    if preserve_boundary:
        # Exterior means global boundary
        boundary_mesh = BoundaryMesh(rmesh, "exterior")
        # entity_map contains the indices of vertices on the boundary
        boundary_vertices = boundary_mesh.entity_map(0).array()
        deltax[boundary_vertices] = 0.0
    rmesh.coordinates()[:] = rmesh.coordinates() + deltax
    return rmesh
Пример #2
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def gaussian_mesh_randomizer(mesh, percentage, preserve_boundary=True):
    """
    Randomly perturb a given mesh.

    Args:
        mesh: Input mesh.
        percentage: Maximum perturbation in percentage of mesh.hmin().
        preserve_boundary: Whether to move the vertices on the boundary.
    Returns:
        rmesh: The perturbed mesh.
    """
    rmesh = Mesh(mesh)
    deltax = (np.random.randn(rmesh.num_vertices(),
                              rmesh.geometry().dim()) * percentage *
              rmesh.hmin())
    if preserve_boundary:
        boundary_mesh = BoundaryMesh(rmesh, "exterior")
        boundary_vertices = boundary_mesh.entity_map(0).array()
        deltax[boundary_vertices] = 0.0
    rmesh.coordinates()[:] = rmesh.coordinates() + deltax
    return rmesh