24#include <igl/per_face_normals.h>
29 using namespace assembler;
30 using namespace basis;
34 void flattened_tensor_coeffs(
const Eigen::MatrixXd &S, Eigen::MatrixXd &X)
38 X.resize(S.rows(), 3);
43 else if (S.cols() == 9)
46 X.resize(S.rows(), 6);
56 logger().error(
"Invalid tensor dimensions.");
63 const bool is_problem_scalar,
64 const std::vector<basis::ElementBases> &bases,
65 const std::vector<basis::ElementBases> &gbases,
66 const Eigen::MatrixXd &pts,
67 const Eigen::MatrixXi &
faces,
68 const Eigen::MatrixXd &fun,
69 const bool compute_avg,
70 Eigen::MatrixXd &result)
74 logger().error(
"Solve the problem first!");
79 const Mesh3D &mesh3d =
dynamic_cast<const Mesh3D &
>(mesh);
81 Eigen::MatrixXd points, uv;
82 Eigen::VectorXd weights;
85 if (!is_problem_scalar)
88 igl::AABB<Eigen::MatrixXd, 3> tree;
89 tree.init(pts,
faces);
91 result.resize(
faces.rows(), actual_dim);
92 result.setConstant(std::numeric_limits<double>::quiet_NaN());
103 const int face_id = mesh3d.
cell_face(e, lf);
128 for (
size_t j = 0; j < bs.
bases.size(); ++j)
133 for (
int d = 0; d < actual_dim; ++d)
135 for (
size_t g = 0; g < v.
global.size(); ++g)
137 loc_val(d) += (v.
global[g].val * v.
val.array() * fun(v.
global[g].index * actual_dim + d) * weights.array()).sum();
143 Eigen::RowVector3d C;
146 const double dist = tree.squared_distance(pts,
faces, bary, I, C);
147 assert(dist < 1e-16);
149 assert(std::isnan(result(I, 0)));
151 result.row(I) = loc_val / weights.sum();
153 result.row(I) = loc_val;
158 assert(counter == result.rows());
163 const bool is_problem_scalar,
165 const std::vector<basis::ElementBases> &bases,
166 const std::vector<basis::ElementBases> &gbases,
167 const Eigen::VectorXi &disc_orders,
168 const Eigen::VectorXi &disc_ordersq,
169 const std::map<int, Eigen::MatrixXd> &polys,
170 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
175 const Eigen::MatrixXd &fun,
176 std::vector<assembler::Assembler::NamedMatrix> &result_scalar,
177 std::vector<assembler::Assembler::NamedMatrix> &result_tensor,
178 const bool use_sampler,
179 const bool boundary_only)
181 result_scalar.clear();
182 result_tensor.clear();
186 logger().error(
"Solve the problem first!");
189 if (is_problem_scalar)
191 logger().error(
"Define a tensor problem!");
195 assert(!is_problem_scalar);
198 std::vector<Eigen::MatrixXd> avg_scalar, avg_tensor;
200 Eigen::MatrixXd areas(n_bases, 1);
203 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_s, tmp_t;
204 Eigen::MatrixXd local_val;
207 for (
int i = 0; i < int(bases.size()); ++i)
211 Eigen::MatrixXd local_pts;
230 int max_order = std::max(disc_orders(i), disc_ordersq(i));
244 vals.compute(i, actual_dim == 3, bases[i], gbases[i]);
246 const double area = (
vals.det.array() *
quadrature.weights.array()).sum();
251 for (
size_t j = 0; j < bs.
bases.size(); ++j)
254 if (b.global().size() > 1)
257 auto &global = b.global().front();
258 areas(global.index) += area;
261 if (avg_scalar.empty())
263 avg_scalar.resize(tmp_s.size());
264 for (
auto &m : avg_scalar)
266 m.resize(n_bases, 1);
271 if (avg_tensor.empty())
273 avg_tensor.resize(tmp_t.size());
274 for (
auto &m : avg_tensor)
276 m.resize(n_bases, actual_dim * actual_dim);
281 for (
int k = 0; k < tmp_s.size(); ++k)
283 local_val = tmp_s[k].second;
285 for (
size_t j = 0; j < bs.
bases.size(); ++j)
288 if (b.global().size() > 1)
291 auto &global = b.global().front();
292 avg_scalar[k](global.index) += local_val(j) * area;
296 for (
int k = 0; k < tmp_t.size(); ++k)
298 local_val = tmp_t[k].second;
300 for (
size_t j = 0; j < bs.
bases.size(); ++j)
303 if (b.global().size() > 1)
306 auto &global = b.global().front();
307 avg_tensor[k].row(global.index) += local_val.row(j) * area;
312 for (
auto &m : avg_scalar)
314 m.array() /= areas.array();
317 for (
auto &m : avg_tensor)
319 for (
int i = 0; i < m.rows(); ++i)
321 m.row(i).array() /= areas(i);
325 result_scalar.resize(tmp_s.size());
326 for (
int k = 0; k < tmp_s.size(); ++k)
328 result_scalar[k].first = tmp_s[k].first;
329 interpolate_function(mesh, 1, bases, disc_orders, disc_ordersq, polys, polys_3d, sampler, n_points,
330 avg_scalar[k], result_scalar[k].second, use_sampler, boundary_only);
333 result_tensor.resize(tmp_t.size());
334 for (
int k = 0; k < tmp_t.size(); ++k)
336 result_tensor[k].first = tmp_t[k].first;
337 interpolate_function(mesh, actual_dim * actual_dim, bases, disc_orders, disc_ordersq, polys, polys_3d, sampler, n_points,
338 utils::flatten(avg_tensor[k]), result_tensor[k].second, use_sampler, boundary_only);
344 const bool is_problem_scalar,
345 const std::vector<basis::ElementBases> &bases,
346 const std::vector<basis::ElementBases> &gbases,
347 const Eigen::VectorXi &disc_orders,
348 const Eigen::VectorXi &disc_ordersq,
350 const Eigen::MatrixXd &fun,
352 Eigen::MatrixXd &result,
353 Eigen::VectorXd &von_mises)
362 logger().error(
"Solve the problem first!");
365 if (is_problem_scalar)
367 logger().error(
"Define a tensor problem!");
372 assert(!is_problem_scalar);
374 Eigen::MatrixXd local_val, local_stress, local_mises;
376 int num_quadr_pts = 0;
377 result.resize(disc_orders.sum(), actual_dim == 2 ? 3 : 6);
379 von_mises.resize(disc_orders.sum(), 1);
390 f.get_quadrature(disc_orders(e), quadr);
395 f.get_quadrature(disc_orders(e), quadr);
403 f.get_quadrature(disc_orders(e), quadr);
408 f.get_quadrature(disc_orders(e), quadr);
416 f.get_quadrature(disc_orders(e), disc_ordersq(e), quadr);
423 f.get_quadrature(disc_orders(e), quadr);
430 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_s, tmp_t;
435 local_mises = tmp_s[0].second;
436 local_val = tmp_t[0].second;
438 if (num_quadr_pts + local_val.rows() >= result.rows())
440 result.conservativeResize(
441 std::max(num_quadr_pts + local_val.rows() + 1, 2 * result.rows()),
443 von_mises.conservativeResize(result.rows(), von_mises.cols());
445 flattened_tensor_coeffs(local_val, local_stress);
446 result.block(num_quadr_pts, 0, local_stress.rows(), local_stress.cols()) = local_stress;
447 von_mises.block(num_quadr_pts, 0, local_mises.rows(), local_mises.cols()) = local_mises;
448 num_quadr_pts += local_val.rows();
450 result.conservativeResize(num_quadr_pts, result.cols());
451 von_mises.conservativeResize(num_quadr_pts, von_mises.cols());
456 const bool is_problem_scalar,
457 const std::vector<basis::ElementBases> &bases,
458 const Eigen::VectorXi &disc_orders,
459 const Eigen::VectorXi &disc_ordersq,
460 const std::map<int, Eigen::MatrixXd> &polys,
461 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
464 const Eigen::MatrixXd &fun,
465 Eigen::MatrixXd &result,
466 const bool use_sampler,
467 const bool boundary_only)
470 if (!is_problem_scalar)
473 polys, polys_3d, sampler, n_points,
474 fun, result, use_sampler, boundary_only);
479 const std::vector<basis::ElementBases> &gbasis,
480 const std::vector<basis::ElementBases> &basis,
481 const Eigen::VectorXi &disc_orders,
482 const std::map<int, Eigen::MatrixXd> &polys,
483 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
486 const Eigen::MatrixXd &fun,
487 Eigen::Vector<bool, -1> &result,
488 const bool use_sampler,
489 const bool boundary_only)
493 logger().error(
"Solve the problem first!");
497 result.setZero(n_points);
501 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
505 for (
int i = 0; i < int(basis.size()); ++i)
508 Eigen::MatrixXd local_pts;
522 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
524 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
549 if (std::find(invalidList.begin(), invalidList.end(), i) != invalidList.end())
550 result.segment(index, local_pts.rows()).array() =
true;
551 index += local_pts.rows();
557 const int actual_dim,
558 const std::vector<basis::ElementBases> &basis,
559 const Eigen::VectorXi &disc_orders,
560 const Eigen::VectorXi &disc_ordersq,
561 const std::map<int, Eigen::MatrixXd> &polys,
562 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
565 const Eigen::MatrixXd &fun,
566 Eigen::MatrixXd &result,
567 const bool use_sampler,
568 const bool boundary_only)
572 logger().error(
"Solve the problem first!");
575 assert(fun.cols() == 1);
577 std::vector<AssemblyValues> tmp;
579 result.resize(n_points, actual_dim);
583 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
585 for (
int i = 0; i < int(basis.size()); ++i)
588 Eigen::MatrixXd local_pts;
606 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
608 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
621 int max_order = std::max(disc_orders(i), disc_ordersq(i));
642 Eigen::MatrixXd local_res = Eigen::MatrixXd::Zero(local_pts.rows(), actual_dim);
644 for (
size_t j = 0; j < bs.
bases.size(); ++j)
648 for (
int d = 0; d < actual_dim; ++d)
650 for (
size_t ii = 0; ii < b.global().size(); ++ii)
651 local_res.col(d) += b.global()[ii].val * tmp[j].val * fun(b.global()[ii].index * actual_dim + d);
655 result.block(index, 0, local_res.rows(), actual_dim) = local_res;
656 index += local_res.rows();
662 const bool is_problem_scalar,
663 const std::vector<basis::ElementBases> &bases,
664 const std::vector<basis::ElementBases> &gbases,
666 const Eigen::MatrixXd &local_pts,
667 const Eigen::MatrixXd &fun,
668 Eigen::MatrixXd &result,
669 Eigen::MatrixXd &result_grad)
672 if (!is_problem_scalar)
675 local_pts, fun, result, result_grad);
680 const int actual_dim,
681 const std::vector<basis::ElementBases> &bases,
682 const std::vector<basis::ElementBases> &gbases,
684 const Eigen::MatrixXd &local_pts,
685 const Eigen::MatrixXd &fun,
686 Eigen::MatrixXd &result,
687 Eigen::MatrixXd &result_grad)
691 logger().error(
"Solve the problem first!");
695 assert(local_pts.cols() == mesh.
dimension());
696 assert(fun.cols() == 1);
704 result.resize(
vals.val.rows(), actual_dim);
707 result_grad.resize(
vals.val.rows(), mesh.
dimension() * actual_dim);
708 result_grad.setZero();
710 const int n_loc_bases = int(
vals.basis_values.size());
712 for (
int i = 0; i < n_loc_bases; ++i)
714 const auto &
val =
vals.basis_values[i];
716 for (
size_t ii = 0; ii <
val.global.size(); ++ii)
718 for (
int d = 0; d < actual_dim; ++d)
720 result.col(d) +=
val.global[ii].val * fun(
val.global[ii].index * actual_dim + d) *
val.val;
721 result_grad.block(0, d *
val.grad_t_m.cols(), result_grad.rows(),
val.grad_t_m.cols()) +=
val.global[ii].val * fun(
val.global[ii].index * actual_dim + d) *
val.grad_t_m;
731 logger().error(
"Solve the problem first!");
735 assert(fun.cols() == 1);
737 result.resize(
vals.val.rows(), actual_dim);
740 result_grad.resize(
vals.val.rows(), dim * actual_dim);
741 result_grad.setZero();
743 const int n_loc_bases = int(
vals.basis_values.size());
745 for (
int i = 0; i < n_loc_bases; ++i)
747 const auto &
val =
vals.basis_values[i];
749 for (
size_t ii = 0; ii <
val.global.size(); ++ii)
751 for (
int d = 0; d < actual_dim; ++d)
753 result.col(d) +=
val.global[ii].val * fun(
val.global[ii].index * actual_dim + d) *
val.val;
754 result_grad.block(0, d *
val.grad_t_m.cols(), result_grad.rows(),
val.grad_t_m.cols()) +=
val.global[ii].val * fun(
val.global[ii].index * actual_dim + d) *
val.grad_t_m;
762 const bool is_problem_scalar,
763 const std::vector<basis::ElementBases> &bases,
764 const std::vector<basis::ElementBases> &gbases,
765 const Eigen::VectorXi &disc_orders,
766 const Eigen::VectorXi &disc_ordersq,
767 const std::map<int, Eigen::MatrixXd> &polys,
768 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
771 const Eigen::MatrixXd &fun,
773 const bool use_sampler,
774 const bool boundary_only)
778 logger().error(
"Solve the problem first!");
782 assert(!is_problem_scalar);
784 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
786 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_s;
788 for (
int i = 0; i < int(bases.size()); ++i)
795 Eigen::MatrixXd local_pts;
810 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
812 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
825 int max_order = std::max(disc_orders(i), disc_ordersq(i));
848 for (
const auto &s : tmp_s)
849 if (std::isnan(s.second.norm()))
858 const bool is_problem_scalar,
859 const std::vector<basis::ElementBases> &bases,
860 const std::vector<basis::ElementBases> &gbases,
861 const Eigen::VectorXi &disc_orders,
862 const Eigen::VectorXi &disc_ordersq,
863 const std::map<int, Eigen::MatrixXd> &polys,
864 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
868 const Eigen::MatrixXd &fun,
870 std::vector<assembler::Assembler::NamedMatrix> &result,
871 const bool use_sampler,
872 const bool boundary_only)
876 logger().error(
"Solve the problem first!");
882 assert(!is_problem_scalar);
886 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
887 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_s;
889 for (
int i = 0; i < int(bases.size()); ++i)
896 Eigen::MatrixXd local_pts;
911 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
913 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
926 int max_order = std::max(disc_orders(i), disc_ordersq(i));
951 result.resize(tmp_s.size());
952 for (
int k = 0; k < tmp_s.size(); ++k)
954 result[k].first = tmp_s[k].first;
955 result[k].second.resize(n_points, 1);
959 for (
int k = 0; k < tmp_s.size(); ++k)
961 assert(local_pts.rows() == tmp_s[k].second.rows());
962 result[k].second.block(index, 0, tmp_s[k].second.rows(), 1) = tmp_s[k].second;
964 index += local_pts.rows();
970 const bool is_problem_scalar,
971 const std::vector<basis::ElementBases> &bases,
972 const std::vector<basis::ElementBases> &gbases,
973 const Eigen::VectorXi &disc_orders,
974 const Eigen::VectorXi &disc_ordersq,
975 const std::map<int, Eigen::MatrixXd> &polys,
976 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
980 const Eigen::MatrixXd &fun,
982 std::vector<assembler::Assembler::NamedMatrix> &result,
983 const bool use_sampler,
984 const bool boundary_only)
988 logger().error(
"Solve the problem first!");
995 assert(!is_problem_scalar);
999 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
1000 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_t;
1002 for (
int i = 0; i < int(bases.size()); ++i)
1009 Eigen::MatrixXd local_pts;
1024 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
1026 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
1039 int max_order = std::max(disc_orders(i), disc_ordersq(i));
1064 result.resize(tmp_t.size());
1065 for (
int k = 0; k < tmp_t.size(); ++k)
1067 result[k].first = tmp_t[k].first;
1068 result[k].second.resize(n_points, actual_dim * actual_dim);
1072 for (
int k = 0; k < tmp_t.size(); ++k)
1074 assert(local_pts.rows() == tmp_t[k].second.rows());
1075 result[k].second.block(index, 0, tmp_t[k].second.rows(), tmp_t[k].second.cols()) = tmp_t[k].second;
1077 index += local_pts.rows();
1083 const std::shared_ptr<mesh::MeshNodes> mesh_nodes)
1085 Eigen::MatrixXd func;
1086 func.setZero(n_bases, mesh_nodes->node_position(0).size());
1088 for (
int i = 0; i < n_bases; i++)
1089 func.row(i) = mesh_nodes->node_position(i);
1096 const std::shared_ptr<mesh::MeshNodes> mesh_nodes,
1097 const Eigen::MatrixXd &grad)
1103 const std::vector<basis::ElementBases> &bases,
1104 const std::vector<basis::ElementBases> &gbases,
1105 const Eigen::MatrixXd &fun,
1107 const int actual_dim)
1109 Eigen::VectorXd result;
1110 result.setZero(actual_dim);
1111 for (
int e = 0; e < bases.size(); ++e)
1116 Eigen::MatrixXd u, grad_u;
1120 result += u.transpose() *
da;
ElementAssemblyValues vals
std::vector< Eigen::VectorXi > faces
virtual void compute_scalar_value(const OutputData &data, std::vector< NamedMatrix > &result) const
virtual void compute_tensor_value(const OutputData &data, std::vector< NamedMatrix > &result) const
stores per local bases evaluations
std::vector< basis::Local2Global > global
stores per element basis values at given quadrature points and geometric mapping
void compute(const int el_index, const bool is_volume, const Eigen::MatrixXd &pts, const basis::ElementBases &basis, const basis::ElementBases &gbasis)
computes the per element values at the local (ref el) points (pts) sets basis_values,...
Represents one basis function and its gradient.
Stores the basis functions for a given element in a mesh (facet in 2d, cell in 3d).
void evaluate_bases(const Eigen::MatrixXd &uv, std::vector< assembler::AssemblyValues > &basis_values) const
evaluate stored bases at given points on the reference element saves results to basis_values
std::vector< Basis > bases
one basis function per node in the element
static Eigen::MatrixXd generate_linear_field(const int n_bases, const std::shared_ptr< mesh::MeshNodes > mesh_nodes, const Eigen::MatrixXd &grad)
static void interpolate_at_local_vals(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const int el_index, const Eigen::MatrixXd &local_pts, const Eigen::MatrixXd &fun, Eigen::MatrixXd &result, Eigen::MatrixXd &result_grad)
interpolate solution and gradient at element (calls interpolate_at_local_vals with sol)
static void average_grad_based_function(const mesh::Mesh &mesh, const bool is_problem_scalar, const int n_bases, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const assembler::Assembler &assembler, const utils::RefElementSampler &sampler, const double t, const int n_points, const Eigen::MatrixXd &fun, std::vector< assembler::Assembler::NamedMatrix > &result_scalar, std::vector< assembler::Assembler::NamedMatrix > &result_tensor, const bool use_sampler, const bool boundary_only)
calls compute_scalar_value (i.e von mises for elasticity and norm of velocity for fluid) and compute_...
static Eigen::MatrixXd get_bases_position(const int n_bases, const std::shared_ptr< mesh::MeshNodes > mesh_nodes)
static void compute_scalar_value(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const assembler::Assembler &assembler, const utils::RefElementSampler &sampler, const int n_points, const Eigen::MatrixXd &fun, const double t, std::vector< assembler::Assembler::NamedMatrix > &result, const bool use_sampler, const bool boundary_only)
computes scalar quantity of funtion (ie von mises for elasticity and norm of velocity for fluid)
static void compute_tensor_value(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const assembler::Assembler &assembler, const utils::RefElementSampler &sampler, const int n_points, const Eigen::MatrixXd &fun, const double t, std::vector< assembler::Assembler::NamedMatrix > &result, const bool use_sampler, const bool boundary_only)
compute tensor quantity (ie stress tensor or velocity)
bool check_scalar_value(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const assembler::Assembler &assembler, const utils::RefElementSampler &sampler, const Eigen::MatrixXd &fun, const double t, const bool use_sampler, const bool boundary_only)
checks if mises are not nan
static void interpolate_boundary_function(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::MatrixXd &pts, const Eigen::MatrixXi &faces, const Eigen::MatrixXd &fun, const bool compute_avg, Eigen::MatrixXd &result)
computes integrated solution (fun) per surface face.
static void mark_flipped_cells(const mesh::Mesh &mesh, const std::vector< basis::ElementBases > &gbasis, const std::vector< basis::ElementBases > &basis, const Eigen::VectorXi &disc_orders, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const utils::RefElementSampler &sampler, const int n_points, const Eigen::MatrixXd &fun, Eigen::Vector< bool, -1 > &result, const bool use_sampler, const bool boundary_only)
static void interpolate_function(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const utils::RefElementSampler &sampler, const int n_points, const Eigen::MatrixXd &fun, Eigen::MatrixXd &result, const bool use_sampler, const bool boundary_only)
interpolate the function fun.
static void compute_stress_at_quadrature_points(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const assembler::Assembler &assembler, const Eigen::MatrixXd &fun, const double t, Eigen::MatrixXd &result, Eigen::VectorXd &von_mises)
compute von mises stress at quadrature points for the function fun, also compute the interpolated fun...
static Eigen::VectorXd integrate_function(const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::MatrixXd &fun, const int dim, const int actual_dim)
virtual int n_cell_faces(const int c_id) const =0
virtual int cell_face(const int c_id, const int lf_id) const =0
Abstract mesh class to capture 2d/3d conforming and non-conforming meshes.
int n_elements() const
utitlity to return the number of elements, cells or faces in 3d and 2d
virtual RowVectorNd face_barycenter(const int f) const =0
face barycenter
bool is_cube(const int el_id) const
checks if element is cube compatible
virtual bool is_boundary_face(const int face_global_id) const =0
is face boundary
bool is_simplex(const int el_id) const
checks if element is simplex
bool is_prism(const int el_id) const
checks if element is a prism
virtual bool is_volume() const =0
checks if mesh is volume
int dimension() const
utily for dimension
bool is_pyramid(const int el_id) const
checks if element is a pyramid
virtual bool is_boundary_element(const int element_global_id) const =0
is cell boundary
static void quadrature_for_quad_face(int index, int order, const int gid, const mesh::Mesh &mesh, Eigen::MatrixXd &uv, Eigen::MatrixXd &points, Eigen::VectorXd &weights)
static void quadrature_for_tri_face(int index, int order, const int gid, const mesh::Mesh &mesh, Eigen::MatrixXd &uv, Eigen::MatrixXd &points, Eigen::VectorXd &weights)
static void quadrature_for_prism_face(int index, int orderp, int orderq, const int gid, const mesh::Mesh &mesh, Eigen::MatrixXd &uv, Eigen::MatrixXd &points, Eigen::VectorXd &weights)
static void quadrature_for_pyramid_face(int index, int orderp, const int gid, const mesh::Mesh &mesh, Eigen::MatrixXd &uv, Eigen::MatrixXd &points, Eigen::VectorXd &weights)
const Eigen::MatrixXd & prism_points() const
void sample_polygon(const Eigen::MatrixXd &poly, Eigen::MatrixXd &pts, Eigen::MatrixXi &faces, Eigen::MatrixXi &edges) const
const Eigen::MatrixXd & simplex_points() const
void sample_polyhedron(const Eigen::MatrixXd &vertices, const Eigen::MatrixXi &f, Eigen::MatrixXd &pts, Eigen::MatrixXi &faces, Eigen::MatrixXi &edges) const
const Eigen::MatrixXd & cube_points() const
const Eigen::MatrixXd & pyramid_points() const
void q_nodes_2d(const int q, Eigen::MatrixXd &val)
void pyramid_nodes_3d(const int pyramid, Eigen::MatrixXd &val)
void prism_nodes_3d(const int p, const int q, Eigen::MatrixXd &val)
void p_nodes_2d(const int p, Eigen::MatrixXd &val)
void p_nodes_3d(const int p, Eigen::MatrixXd &val)
void q_nodes_3d(const int q, Eigen::MatrixXd &val)
std::vector< int > count_invalid(const int dim, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXd &u)
Eigen::VectorXd flatten(const Eigen::MatrixXd &X)
Flatten rowwises.
spdlog::logger & logger()
Retrieves the current logger.
Eigen::Matrix< double, 1, Eigen::Dynamic, Eigen::RowMajor, 1, 3 > RowVectorNd