Diffusion akantu (bugfixes/empty_filter_does_not_work_in_python) Browse

empty_filter_d…

shape_structural_inline_impl.cc
View Options

			/**
			* @file shape_structural_inline_impl.cc
			*
			* @author Fabian Barras <fabian.barras@epfl.ch>
			* @author Nicolas Richart <nicolas.richart@epfl.ch>
			*
			* @date creation: Mon Dec 13 2010
			* @date last modification: Thu Oct 15 2015
			*
			* @brief ShapeStructural inline implementation
			*
			* @section LICENSE
			*
			* Copyright (©) 2010-2012, 2014, 2015 EPFL (Ecole Polytechnique Fédérale de
			* Lausanne) Laboratory (LSMS - Laboratoire de Simulation en Mécanique des
			* Solides)
			*
			* Akantu is free software: you can redistribute it and/or modify it under the
			* terms of the GNU Lesser General Public License as published by the Free
			* Software Foundation, either version 3 of the License, or (at your option) any
			* later version.
			*
			* Akantu is distributed in the hope that it will be useful, but WITHOUT ANY
			* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
			* A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
			* details.
			*
			* You should have received a copy of the GNU Lesser General Public License
			* along with Akantu. If not, see <http://www.gnu.org/licenses/>.
			*
			*/
			/* -------------------------------------------------------------------------- */
			#include "mesh_iterators.hh"
			#include "shape_structural.hh"
			/* -------------------------------------------------------------------------- */

			#ifndef __AKANTU_SHAPE_STRUCTURAL_INLINE_IMPL_CC__
			#define __AKANTU_SHAPE_STRUCTURAL_INLINE_IMPL_CC__

			namespace akantu {

			template <ElementKind kind>
			inline void ShapeStructural<kind>::initShapeFunctions(
			const Array<Real> & /* unused /, const Matrix<Real> & / unused */,
			const ElementType & /* unused /, const GhostType & / unused */) {
			AKANTU_DEBUG_TO_IMPLEMENT();
			}

			/* -------------------------------------------------------------------------- */
			#define INIT_SHAPE_FUNCTIONS(type) \
			setIntegrationPointsByType<type>(integration_points, ghost_type); \
			precomputeRotationMatrices<type>(nodes, ghost_type); \
			precomputeShapesOnIntegrationPoints<type>(nodes, ghost_type); \
			precomputeShapeDerivativesOnIntegrationPoints<type>(nodes, ghost_type);

			template <>
			inline void ShapeStructural<_ek_structural>::initShapeFunctions(
			const Array<Real> & nodes, const Matrix<Real> & integration_points,
			const ElementType & type, const GhostType & ghost_type) {
			AKANTU_BOOST_STRUCTURAL_ELEMENT_SWITCH(INIT_SHAPE_FUNCTIONS);
			}

			#undef INIT_SHAPE_FUNCTIONS

			/* -------------------------------------------------------------------------- */
			template <>
			template <ElementType type>
			void ShapeStructural<_ek_structural>::computeShapesOnIntegrationPoints(
			const Array<Real> & /nodes/, const Matrix<Real> & integration_points,
			Array<Real> & shapes, const GhostType & ghost_type,
			const Array<UInt> & filter_elements) const {

			/// \TODO this code differs from ShapeLagrangeBase only in the size of N
			UInt nb_points = integration_points.cols();
			UInt nb_element = mesh.getConnectivity(type, ghost_type).size();

			shapes.resize(nb_element * nb_points);

			UInt ndof = ElementClass<type>::getNbDegreeOfFreedom();

			#if !defined(AKANTU_NDEBUG)
			UInt size_of_shapes = ElementClass<type>::getShapeSize();
			AKANTU_DEBUG_ASSERT(shapes.getNbComponent() == size_of_shapes,
			"The shapes array does not have the correct "
			<< "number of component");
			#endif

			auto shapes_it = shapes.begin_reinterpret(
			ElementClass<type>::getNbNodesPerInterpolationElement(), ndof, nb_points,
			nb_element);

			auto shapes_begin = shapes_it;
			if (filter_elements != empty_filter) {
			nb_element = filter_elements.size();
			}

			for (UInt elem = 0; elem < nb_element; ++elem) {
			if (filter_elements != empty_filter)
			shapes_it = shapes_begin + filter_elements(elem);

			Tensor3<Real> & N = *shapes_it;
			ElementClass<type>::computeShapes(integration_points, N);

			if (filter_elements == empty_filter)
			++shapes_it;
			}
			}

			/* -------------------------------------------------------------------------- */
			template <ElementKind kind>
			template <ElementType type>
			void ShapeStructural<kind>::precomputeRotationMatrices(
			const Array<Real> & nodes, const GhostType & ghost_type) {
			AKANTU_DEBUG_IN();

			const auto spatial_dimension = mesh.getSpatialDimension();
			const auto nb_nodes_per_element = Mesh::getNbNodesPerElement(type);
			const auto nb_element = mesh.getNbElement(type, ghost_type);
			const auto nb_dof = ElementClass<type>::getNbDegreeOfFreedom();

			if (not this->rotation_matrices.exists(type, ghost_type)) {
			this->rotation_matrices.alloc(0, nb_dof * nb_dof, type, ghost_type);
			}

			auto & rot_matrices = this->rotation_matrices(type, ghost_type);
			rot_matrices.resize(nb_element);

			Array<Real> x_el(0, spatial_dimension * nb_nodes_per_element);
			FEEngine::extractNodalToElementField(mesh, nodes, x_el, type, ghost_type);

			bool has_extra_normal = mesh.hasData<Real>("extra_normal", type, ghost_type);
			Array<Real>::vector_iterator extra_normal;
			if (has_extra_normal)
			extra_normal = mesh.getData<Real>("extra_normal", type, ghost_type)
			.begin(spatial_dimension);

			for (auto && tuple :
			zip(make_view(x_el, spatial_dimension, nb_nodes_per_element),
			make_view(rot_matrices, nb_dof, nb_dof))) {
			// compute shape derivatives
			auto & X = std::get<0>(tuple);
			auto & R = std::get<1>(tuple);

			if (has_extra_normal) {
			ElementClass<type>::computeRotationMatrix(R, X, *extra_normal);
			++extra_normal;
			} else {
			ElementClass<type>::computeRotationMatrix(R, X, Vector<Real>());
			}
			}

			AKANTU_DEBUG_OUT();
			}

			/* -------------------------------------------------------------------------- */
			template <ElementKind kind>
			template <ElementType type>
			void ShapeStructural<kind>::precomputeShapesOnIntegrationPoints(
			const Array<Real> & /nodes/, const GhostType & ghost_type) {
			AKANTU_DEBUG_IN();

			const auto & natural_coords = integration_points(type, ghost_type);
			auto nb_nodes_per_element = Mesh::getNbNodesPerElement(type);
			auto nb_points = integration_points(type, ghost_type).cols();
			auto nb_element = mesh.getNbElement(type, ghost_type);
			auto nb_dof = ElementClass<type>::getNbDegreeOfFreedom();

			auto itp_type = FEEngine::getInterpolationType(type);
			if (not shapes.exists(itp_type, ghost_type)) {
			auto size_of_shapes = this->getShapeSize(type);
			this->shapes.alloc(0, size_of_shapes, itp_type, ghost_type);
			}

			auto & shapes_ = this->shapes(itp_type, ghost_type);
			shapes_.resize(nb_element * nb_points);

			auto shapes_it = shapes_.begin_reinterpret(
			nb_dof, nb_dof * nb_nodes_per_element, nb_points, nb_element);

			for (UInt elem = 0; elem < nb_element; ++elem, ++shapes_it) {
			auto & N = *shapes_it;
			ElementClass<type>::computeShapes(natural_coords, N);
			}

			AKANTU_DEBUG_OUT();
			} // namespace akantu

			/* -------------------------------------------------------------------------- */
			template <ElementKind kind>
			template <ElementType type>
			void ShapeStructural<kind>::precomputeShapeDerivativesOnIntegrationPoints(
			const Array<Real> & nodes, const GhostType & ghost_type) {
			AKANTU_DEBUG_IN();

			const auto & natural_coords = integration_points(type, ghost_type);
			const auto spatial_dimension = mesh.getSpatialDimension();
			const auto natural_spatial_dimension =
			ElementClass<type>::getNaturalSpaceDimension();
			const auto nb_nodes_per_element = Mesh::getNbNodesPerElement(type);
			const auto nb_points = natural_coords.cols();
			const auto nb_dof = ElementClass<type>::getNbDegreeOfFreedom();
			const auto nb_element = mesh.getNbElement(type, ghost_type);
			const auto nb_stress_components = ElementClass<type>::getNbStressComponents();

			auto itp_type = FEEngine::getInterpolationType(type);
			if (not this->shapes_derivatives.exists(itp_type, ghost_type)) {
			auto size_of_shapesd = this->getShapeDerivativesSize(type);
			this->shapes_derivatives.alloc(0, size_of_shapesd, itp_type, ghost_type);
			}

			auto & rot_matrices = this->rotation_matrices(type, ghost_type);

			Array<Real> x_el(0, spatial_dimension * nb_nodes_per_element);
			FEEngine::extractNodalToElementField(mesh, nodes, x_el, type, ghost_type);

			auto & shapesd = this->shapes_derivatives(itp_type, ghost_type);
			shapesd.resize(nb_element * nb_points);

			for (auto && tuple :
			zip(make_view(x_el, spatial_dimension, nb_nodes_per_element),
			make_view(shapesd, nb_stress_components,
			nb_nodes_per_element * nb_dof, nb_points),
			make_view(rot_matrices, nb_dof, nb_dof))) {
			// compute shape derivatives
			auto & X = std::get<0>(tuple);
			auto & B = std::get<1>(tuple);
			auto & RDOFs = std::get<2>(tuple);

			auto R = RDOFs.block(0, 0, spatial_dimension, spatial_dimension);

			// Rotate to local basis
			auto x =
			(R * X).block(0, 0, natural_spatial_dimension, nb_nodes_per_element);

			Tensor3<Real> dnds(B.size(0), B.size(1), B.size(2));
			ElementClass<type>::computeDNDS(natural_coords, dnds);

			Tensor3<Real> J(x.rows(), natural_coords.rows(),
			natural_coords.cols());

			ElementClass<type>::computeJMat(dnds, x, J);
			ElementClass<type>::computeShapeDerivatives(J, dnds, B);
			}

			AKANTU_DEBUG_OUT();
			}

			/* -------------------------------------------------------------------------- */
			template <ElementKind kind>
			template <ElementType type>
			void ShapeStructural<kind>::interpolateOnIntegrationPoints(
			const Array<Real> & in_u, Array<Real> & out_uq, UInt nb_dof,
			const GhostType & ghost_type, const Array<UInt> & filter_elements) const {
			AKANTU_DEBUG_IN();

			AKANTU_DEBUG_ASSERT(out_uq.getNbComponent() == nb_dof,
			"The output array shape is not correct");

			auto itp_type = FEEngine::getInterpolationType(type);
			const auto & shapes_ = shapes(itp_type, ghost_type);

			auto nb_element = mesh.getNbElement(type, ghost_type);
			auto nb_nodes_per_element = ElementClass<type>::getNbNodesPerElement();
			auto nb_quad_points_per_element = integration_points(type, ghost_type).cols();

			Array<Real> u_el(0, nb_nodes_per_element * nb_dof);
			FEEngine::extractNodalToElementField<type>(mesh, in_u, u_el, ghost_type,
			filter_elements);

			auto nb_quad_points = nb_quad_points_per_element * u_el.size();
			out_uq.resize(nb_quad_points);

			auto out_it = out_uq.begin_reinterpret(nb_dof, 1, nb_quad_points_per_element,
			u_el.size());
			auto shapes_it =
			shapes_.begin_reinterpret(nb_dof, nb_dof * nb_nodes_per_element,
			nb_quad_points_per_element, nb_element);
			auto u_it = u_el.begin_reinterpret(nb_dof * nb_nodes_per_element, 1,
			nb_quad_points_per_element, u_el.size());

			for_each_elements(nb_element, filter_elements, [&](auto && el) {
			auto & uq = *out_it;
			const auto & u = *u_it;
			auto N = Tensor3<Real>(shapes_it[el]);

			for (auto && q : arange(uq.size(2))) {
			auto uq_q = Matrix<Real>(uq(q));
			auto u_q = Matrix<Real>(u(q));
			auto N_q = Matrix<Real>(N(q));

			uq_q.mul<false, false>(N, u);
			}

			++out_it;
			++u_it;
			});
			AKANTU_DEBUG_OUT();
			}

			/* -------------------------------------------------------------------------- */
			template <ElementKind kind>
			template <ElementType type>
			void ShapeStructural<kind>::gradientOnIntegrationPoints(
			const Array<Real> & in_u, Array<Real> & out_nablauq, UInt nb_dof,
			const GhostType & ghost_type, const Array<UInt> & filter_elements) const {
			AKANTU_DEBUG_IN();

			auto itp_type = FEEngine::getInterpolationType(type);
			const auto & shapesd = shapes_derivatives(itp_type, ghost_type);

			auto nb_element = mesh.getNbElement(type, ghost_type);
			auto element_dimension = ElementClass<type>::getSpatialDimension();
			auto nb_quad_points_per_element = integration_points(type, ghost_type).cols();
			auto nb_nodes_per_element = ElementClass<type>::getNbNodesPerElement();

			Array<Real> u_el(0, nb_nodes_per_element * nb_dof);
			FEEngine::extractNodalToElementField<type>(mesh, in_u, u_el, ghost_type,
			filter_elements);

			auto nb_quad_points = nb_quad_points_per_element * u_el.size();
			out_nablauq.resize(nb_quad_points);

			auto out_it = out_nablauq.begin_reinterpret(
			element_dimension, 1, nb_quad_points_per_element, u_el.size());
			auto shapesd_it = shapesd.begin_reinterpret(
			element_dimension, nb_dof * nb_nodes_per_element,
			nb_quad_points_per_element, nb_element);
			auto u_it = u_el.begin_reinterpret(nb_dof * nb_nodes_per_element, 1,
			nb_quad_points_per_element, u_el.size());

			for_each_elements(nb_element, filter_elements, [&](auto && el) {
			auto & nablau = *out_it;
			const auto & u = *u_it;
			auto B = Tensor3<Real>(shapesd_it[el]);

			for (auto && q : arange(nablau.size(2))) {
			auto nablau_q = Matrix<Real>(uq(q));
			auto u_q = Matrix<Real>(u(q));
			auto B_q = Matrix<Real>(N(q));

			nablau_q.mul<false, false>(B, u);
			}

			++out_it;
			++u_it;
			});

			AKANTU_DEBUG_OUT();
			}

			} // namespace akantu

			#endif /* __AKANTU_SHAPE_STRUCTURAL_INLINE_IMPL_CC__ */

rAKA/src/fe_engine/shape_structural_inline_impl.cc621fc6a6da5bbugfixes/empty_filter_d…

shape_structural_inline_impl.ccView Options

rAKA/src/fe_engine/shape_structural_inline_impl.cc
621fc6a6da5bbugfixes/empty_filter_d…

shape_structural_inline_impl.cc
View Options