Refactoring
This commit is contained in:
iasonmanolas
parent
4c0c5307b9
commit
4daed81fef
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@ -68,15 +68,6 @@ download_project(PROJ vcglib_devel
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)
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file(GLOB EXT_SOURCES ${vcglib_devel_SOURCE_DIR}/wrap/ply/plylib.cpp)
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##threed-beam-fea
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download_project(PROJ threed-beam-fea
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GIT_REPOSITORY https://github.com/IasonManolas/threed-beam-fea.git
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GIT_TAG master
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PREFIX ${EXTERNAL_DEPS_DIR}
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${UPDATE_DISCONNECTED_IF_AVAILABLE}
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)
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add_subdirectory(${threed-beam-fea_SOURCE_DIR} ${threed-beam-fea_BINARY_DIR})
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##Eigen 3 NOTE: Eigen is required on the system the code is ran
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find_package(Eigen3 3.3 REQUIRED)
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@ -94,7 +85,6 @@ target_compile_features(${PROJECT_NAME} PUBLIC cxx_std_20)
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target_include_directories(${PROJECT_NAME}
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PUBLIC ${vcglib_devel_SOURCE_DIR}
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PUBLIC ${threed-beam-fea_SOURCE_DIR}/include
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PUBLIC ${MYSOURCES_SOURCE_DIR}
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PUBLIC ${MYSOURCES_SOURCE_DIR}/boost_graph
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)
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@ -102,7 +92,7 @@ target_include_directories(${PROJECT_NAME}
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target_link_directories(${PROJECT_NAME} PRIVATE ${MYSOURCES_SOURCE_DIR}/boost_graph/libs/)
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if(${USE_POLYSCOPE})
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target_link_libraries(${PROJECT_NAME} polyscope Eigen3::Eigen dlib::dlib ThreedBeamFEA MySources)
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target_link_libraries(${PROJECT_NAME} polyscope Eigen3::Eigen dlib::dlib MySources)
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else()
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target_link_libraries(${PROJECT_NAME} -static Eigen3::Eigen dlib::dlib ThreedBeamFEA MySources)
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target_link_libraries(${PROJECT_NAME} -static Eigen3::Eigen dlib::dlib MySources)
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endif()
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@ -1,215 +0,0 @@
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#ifndef LINEARSIMULATIONMODEL_HPP
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#define LINEARSIMULATIONMODEL_HPP
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//#include "beam.hpp"
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#include "simulationresult.hpp"
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#include "threed_beam_fea.h"
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#include <filesystem>
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#include <vector>
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// struct BeamSimulationProperties {
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// float crossArea;
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// float I2;
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// float I3;
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// float polarInertia;
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// float G;
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// // Properties used by fea
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// float EA;
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// float EIz;
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// float EIy;
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// float GJ;
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// BeamSimulationProperties(const BeamDimensions &dimensions,
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// const BeamMaterial &material);
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//};
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// struct NodalForce {
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// int index;
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// int dof;
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// double magnitude;
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//};
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// struct SimulationJob {
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// Eigen::MatrixX3d nodes;
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// Eigen::MatrixX2i elements;
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// Eigen::MatrixX3d elementalNormals;
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// Eigen::VectorXi fixedNodes;
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// std::vector<NodalForce> nodalForces;
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// std::vector<BeamDimensions> beamDimensions;
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// std::vector<BeamMaterial> beamMaterial;
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//};
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// struct SimulationResults {
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// std::vector<Eigen::VectorXd> edgeForces; ///< Force values per force
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// component
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// ///< #force components x #edges
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// Eigen::MatrixXd
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// nodalDisplacements; ///< The displacement of each node #nodes x 3
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// SimulationResults(const fea::Summary &feaSummary);
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// SimulationResults() {}
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//};
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class LinearSimulationModel {
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public:
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LinearSimulationModel(){
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}
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static std::vector<fea::Elem>
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getFeaElements(const std::shared_ptr<SimulationJob> &job) {
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const int numberOfEdges = job->pMesh->EN();
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std::vector<fea::Elem> elements(numberOfEdges);
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for (int edgeIndex = 0; edgeIndex < numberOfEdges; edgeIndex++) {
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const SimulationMesh::CoordType &evn0 =
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job->pMesh->edge[edgeIndex].cV(0)->cN();
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const SimulationMesh::CoordType &evn1 =
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job->pMesh->edge[edgeIndex].cV(1)->cN();
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const std::vector<double> nAverageVector{(evn0[0] + evn1[0]) / 2,
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(evn0[1] + evn1[1]) / 2,
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(evn0[2] + evn1[2]) / 2};
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const Element &element = job->pMesh->elements[edgeIndex];
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const double E = element.material.youngsModulus;
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fea::Props feaProperties(E * element.A, E * element.I3, E * element.I2,
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element.G * element.J, nAverageVector);
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const int vi0 = job->pMesh->getIndex(job->pMesh->edge[edgeIndex].cV(0));
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const int vi1 = job->pMesh->getIndex(job->pMesh->edge[edgeIndex].cV(1));
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elements[edgeIndex] = fea::Elem(vi0, vi1, feaProperties);
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}
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return elements;
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}
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static std::vector<fea::Node>
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getFeaNodes(const std::shared_ptr<SimulationJob> &job) {
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const int numberOfNodes = job->pMesh->VN();
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std::vector<fea::Node> feaNodes(numberOfNodes);
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for (int vi = 0; vi < numberOfNodes; vi++) {
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const CoordType &p = job->pMesh->vert[vi].cP();
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feaNodes[vi] = fea::Node(p[0], p[1], p[2]);
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}
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return feaNodes;
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}
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static std::vector<fea::BC>
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getFeaFixedNodes(const std::shared_ptr<SimulationJob> &job) {
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std::vector<fea::BC> boundaryConditions;
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boundaryConditions.reserve(job->constrainedVertices.size() * 6);
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for (auto fixedVertex : job->constrainedVertices) {
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const int vertexIndex = fixedVertex.first;
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for (int dofIndex : fixedVertex.second) {
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boundaryConditions.emplace_back(
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fea::BC(vertexIndex, static_cast<fea::DOF>(dofIndex), 0));
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}
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}
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return boundaryConditions;
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}
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static std::vector<fea::Force>
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getFeaNodalForces(const std::shared_ptr<SimulationJob> &job) {
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std::vector<fea::Force> nodalForces;
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nodalForces.reserve(job->nodalExternalForces.size() * 6);
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for (auto nodalForce : job->nodalExternalForces) {
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for (int dofIndex = 0; dofIndex < 6; dofIndex++) {
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if (nodalForce.second[dofIndex] == 0) {
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continue;
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}
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nodalForces.emplace_back(
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fea::Force(nodalForce.first, dofIndex, nodalForce.second[dofIndex]));
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}
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}
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return nodalForces;
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}
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static SimulationResults getResults(const fea::Summary &feaSummary) {
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SimulationResults results;
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results.executionTime = feaSummary.total_time_in_ms * 1000;
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// displacements
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results.displacements.resize(feaSummary.num_nodes);
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for (int vi = 0; vi < feaSummary.num_nodes; vi++) {
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results.displacements[vi] = Vector6d(feaSummary.nodal_displacements[vi]);
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}
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// // Convert forces
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// // Convert to vector of eigen matrices of the form force component-> per
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// // Edge
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// const int numDof = 6;
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// const size_t numberOfEdges = feaSummary.element_forces.size();
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// edgeForces =
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// std::vector<Eigen::VectorXd>(numDof, Eigen::VectorXd(2 *
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// numberOfEdges));
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// for (gsl::index edgeIndex = 0; edgeIndex < numberOfEdges; edgeIndex++) {
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// for (gsl::index forceComponentIndex = 0; forceComponentIndex < numDof;
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// forceComponentIndex++) {
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// (edgeForces[forceComponentIndex])(2 * edgeIndex) =
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// feaSummary.element_forces[edgeIndex][forceComponentIndex];
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// (edgeForces[forceComponentIndex])(2 * edgeIndex + 1) =
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// feaSummary.element_forces[edgeIndex][numDof +
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// forceComponentIndex];
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// }
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// }
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return results;
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}
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SimulationResults
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executeSimulation(const std::shared_ptr<SimulationJob> &simulationJob) {
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assert(simulationJob->pMesh->VN() != 0);
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fea::Job job(getFeaNodes(simulationJob), getFeaElements(simulationJob));
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// printInfo(job);
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// create the default options
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fea::Options opts;
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opts.save_elemental_forces = false;
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opts.save_nodal_displacements = false;
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opts.save_nodal_forces = false;
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opts.save_report = false;
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opts.save_tie_forces = false;
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// if (!elementalForcesOutputFilepath.empty()) {
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// opts.save_elemental_forces = true;
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// opts.elemental_forces_filename = elementalForcesOutputFilepath;
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// }
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// if (!nodalDisplacementsOutputFilepath.empty()) {
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// opts.save_nodal_displacements = true;
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// opts.nodal_displacements_filename = nodalDisplacementsOutputFilepath;
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// }
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// have the program output status updates
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opts.verbose = false;
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// form an empty vector of ties
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std::vector<fea::Tie> ties;
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// also create an empty list of equations
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std::vector<fea::Equation> equations;
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auto fixedVertices = getFeaFixedNodes(simulationJob);
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auto nodalForces = getFeaNodalForces(simulationJob);
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fea::Summary feaResults =
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fea::solve(job, fixedVertices, nodalForces, ties, equations, opts);
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SimulationResults results = getResults(feaResults);
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results.job = simulationJob;
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return results;
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}
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// SimulationResults getResults() const;
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// void setResultsNodalDisplacementCSVFilepath(const std::string
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// &outputPath); void setResultsElementalForcesCSVFilepath(const std::string
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// &outputPath);
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private:
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// std::string nodalDisplacementsOutputFilepath{"nodal_displacement.csv"};
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// std::string elementalForcesOutputFilepath{"elemental_forces.csv"};
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// SimulationResults results;
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static void printInfo(const fea::Job &job) {
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std::cout << "Details regarding the fea::Job:" << std::endl;
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std::cout << "Nodes:" << std::endl;
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for (fea::Node n : job.nodes) {
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std::cout << n << std::endl;
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}
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std::cout << "Elements:" << std::endl;
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for (Eigen::Vector2i e : job.elems) {
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std::cout << e << std::endl;
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}
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}
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};
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#endif // LINEARSIMULATIONMODEL_HPP
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24
src/main.cpp
24
src/main.cpp
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@ -1,4 +1,4 @@
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#include "beamformfinder.hpp"
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#include "drmsimulationmodel.hpp"
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#include "csvfile.hpp"
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#include "edgemesh.hpp"
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#include "reducedmodeloptimizer.hpp"
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@ -41,21 +41,21 @@ int main(int argc, char *argv[]) {
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reducedPattern.scale(0.03,interfaceNodeIndex);
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// Set the optization settings
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ReducedModelOptimizer::xRange beamE{"E", 0.1, 1.9};
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ReducedModelOptimizer::xRange beamA{"A", 0.25, 2.25};
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ReducedModelOptimizer::xRange beamI2{"I2", std::sqrt(beamA.min)*std::pow(std::sqrt(beamA.min),3)/12, std::sqrt(beamA.max)*std::pow(std::sqrt(beamA.max),3)/12};
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ReducedModelOptimizer::xRange beamI3{"I3", std::sqrt(beamA.min)*std::pow(std::sqrt(beamA.min),3)/12, std::sqrt(beamA.max)*std::pow(std::sqrt(beamA.max),3)/12};
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ReducedModelOptimizer::xRange beamJ{"J", beamI2.min+beamI3.min, beamI2.max+beamI3.max};
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ReducedModelOptimizer::xRange innerHexagonSize{"HexSize", 0.1, 0.8};
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ReducedModelOptimizer::xRange innerHexagonAngle{"HexAngle", -29.5, 29.5};
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ReducedModelOptimizer::Settings settings_optimization;
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ReducedModelOptimization::xRange beamE{"E", 0.001, 10000};
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ReducedModelOptimization::xRange beamA{"A", 0.001, 10000};
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ReducedModelOptimization::xRange beamI2{"I2", 0.001,10000};
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ReducedModelOptimization::xRange beamI3{"I3", 0.001,10000};
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ReducedModelOptimization::xRange beamJ{"J", 0.001,10000};
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ReducedModelOptimization::xRange innerHexagonSize{"HexSize", 0.1, 0.8};
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ReducedModelOptimization::xRange innerHexagonAngle{"HexAngle", -29.5, 29.5};
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ReducedModelOptimization::Settings settings_optimization;
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settings_optimization.xRanges = {beamE,beamA,beamJ,beamI2,beamI3,
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innerHexagonSize, innerHexagonAngle};
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const bool input_numberOfFunctionCallsDefined = argc >= 4;
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settings_optimization.numberOfFunctionCalls =
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input_numberOfFunctionCallsDefined ? std::atoi(argv[3]) : 100;
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settings_optimization.normalizationStrategy =
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ReducedModelOptimizer::Settings::NormalizationStrategy::Epsilon;
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ReducedModelOptimization::Settings::NormalizationStrategy::Epsilon;
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settings_optimization.normalizationParameter = 0.0003;
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settings_optimization.solutionAccuracy = 0.01;
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@ -66,8 +66,8 @@ int main(int argc, char *argv[]) {
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const std::vector<size_t> numberOfNodesPerSlot{1, 0, 0, 2, 1, 2, 1};
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assert(interfaceNodeIndex==numberOfNodesPerSlot[0]+numberOfNodesPerSlot[3]);
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ReducedModelOptimizer optimizer(numberOfNodesPerSlot);
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optimizer.initializePatterns(fullPattern, reducedPattern, {});
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ReducedModelOptimizer::Results optimizationResults =
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optimizer.initializePatterns(fullPattern, reducedPattern, {},settings_optimization.xRanges.size());
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ReducedModelOptimization::Results optimizationResults =
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optimizer.optimize(settings_optimization);
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// Export results
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@ -7,6 +7,8 @@
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#include <dlib/global_optimization.h>
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#include <dlib/optimization.h>
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using namespace ReducedModelOptimization;
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struct GlobalOptimizationVariables {
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std::vector<Eigen::MatrixX3d> g_optimalReducedModelDisplacements;
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std::vector<std::vector<Vector6d>> fullPatternDisplacements;
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@ -16,9 +18,9 @@ struct GlobalOptimizationVariables {
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std::unordered_map<ReducedPatternVertexIndex, FullPatternVertexIndex>
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reducedToFullInterfaceViMap;
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matplot::line_handle gPlotHandle;
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std::vector<double> gObjectiveValueHistory;
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std::vector<double> objectiveValueHistory;
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Eigen::VectorXd initialParameters;
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std::vector<ReducedModelOptimizer::SimulationScenario>
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std::vector<SimulationScenario>
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simulationScenarioIndices;
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std::vector<VectorType> g_innerHexagonVectors{6, VectorType(0, 0, 0)};
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double innerHexagonInitialRotationAngle{30};
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@ -28,7 +30,7 @@ struct GlobalOptimizationVariables {
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int numOfSimulationCrashes{false};
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int numberOfFunctionCalls{0};
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int numberOfOptimizationParameters{5};
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ReducedModelOptimizer::Settings optimizationSettings;
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ReducedModelOptimization::Settings optimizationSettings;
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} global;
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std::vector<SimulationJob> reducedPatternMaximumDisplacementSimulationJobs;
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@ -81,47 +83,6 @@ double ReducedModelOptimizer::computeRawError(
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return error;
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}
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void updateMesh(long n, const double *x) {
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std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh =
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global.reducedPatternSimulationJobs[global.simulationScenarioIndices[0]]
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->pMesh;
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const double E=global.initialParameters(0)*x[0];
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const double A=global.initialParameters(1) * x[1];
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const double beamWidth=std::sqrt(A);
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const double beamHeight=beamWidth;
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const double J=global.initialParameters(2) * x[2];
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const double I2=global.initialParameters(3) * x[3];
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const double I3=global.initialParameters(4) * x[4];
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for (EdgeIndex ei = 0; ei < pReducedPatternSimulationMesh->EN(); ei++) {
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Element &e = pReducedPatternSimulationMesh->elements[ei];
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e.setDimensions(
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RectangularBeamDimensions(beamWidth,
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beamHeight));
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e.setMaterial(ElementMaterial(e.material.poissonsRatio,
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E));
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e.A = A;
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e.J = J;
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e.I2 = I2;
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e.I3 = I3;
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}
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assert(pReducedPatternSimulationMesh->EN() == 12);
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auto R = vcg::RotationMatrix(
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ReducedModelOptimizer::patternPlaneNormal,
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vcg::math::ToRad(x[6] - global.innerHexagonInitialRotationAngle));
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for (int rotationCounter = 0;
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rotationCounter < ReducedModelOptimizer::fanSize; rotationCounter++) {
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pReducedPatternSimulationMesh->vert[2 * rotationCounter].P() =
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R * global.g_innerHexagonVectors[rotationCounter] * x[5];
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}
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pReducedPatternSimulationMesh->reset();
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#ifdef POLYSCOPE_DEFINED
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pReducedPatternSimulationMesh->updateEigenEdgeAndVertices();
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#endif
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}
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double ReducedModelOptimizer::objective(double b, double r, double E) {
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std::vector<double> x{b, r, E};
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return ReducedModelOptimizer::objective(x.size(), x.data());
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@ -134,8 +95,19 @@ double ReducedModelOptimizer::objective(double E,double A,double J,double I2,dou
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return ReducedModelOptimizer::objective(x.size(), x.data());
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}
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double ReducedModelOptimizer::objective(double E,double A,
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double innerHexagonSize,
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double innerHexagonRotationAngle) {
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std::vector<double> x{E,A, innerHexagonSize, innerHexagonRotationAngle};
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return ReducedModelOptimizer::objective(x.size(), x.data());
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}
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double ReducedModelOptimizer::objective(long n, const double *x) {
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// std::cout.precision(17);
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// for(int i=0;i<n;i++){
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// std::cout<<x[i]<<" ";
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// }
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// std::cout<<std::endl;
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// const Element &e =
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// global.reducedPatternSimulationJobs[0]->pMesh->elements[0]; std::cout <<
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@ -219,19 +191,18 @@ double ReducedModelOptimizer::objective(long n, const double *x) {
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<< std::endl;
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}
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#endif
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// compute error and return it
|
||||
// global.gObjectiveValueHistory.push_back(error);
|
||||
// auto xPlot = matplot::linspace(0, gObjectiveValueHistory.size(),
|
||||
// gObjectiveValueHistory.size());
|
||||
// std::vector<double> colors(gObjectiveValueHistory.size(), 2);
|
||||
// if (g_firstRoundIterationIndex != 0) {
|
||||
// for_each(colors.begin() + g_firstRoundIterationIndex, colors.end(),
|
||||
// [](double &c) { c = 0.7; });
|
||||
// }
|
||||
// gPlotHandle = matplot::scatter(xPlot, gObjectiveValueHistory, 6, colors);
|
||||
// SimulationResultsReporter::createPlot("Number of Steps", "Objective
|
||||
// value",
|
||||
// gObjectiveValueHistory);
|
||||
// compute error and return it
|
||||
// global.objectiveValueHistory.push_back(totalError);
|
||||
// auto xPlot = matplot::linspace(0, global.objectiveValueHistory.size(),
|
||||
// global.objectiveValueHistory.size());
|
||||
// std::vector<double> colors(global.gObjectiveValueHistory.size(), 2);
|
||||
// if (global.g_firstRoundIterationIndex != 0) {
|
||||
// for_each(colors.begin() + g_firstRoundIterationIndex, colors.end(),
|
||||
// [](double &c) { c = 0.7; });
|
||||
// }
|
||||
// global.gPlotHandle = matplot::scatter(xPlot, global.objectiveValueHistory);
|
||||
// SimulationResultsReporter::createPlot("Number of Steps", "Objective value",
|
||||
// global.objectiveValueHistory);
|
||||
|
||||
return totalError;
|
||||
}
|
||||
|
|
@ -416,7 +387,7 @@ ReducedModelOptimizer::ReducedModelOptimizer(
|
|||
|
||||
void ReducedModelOptimizer::initializePatterns(
|
||||
PatternGeometry &fullPattern, PatternGeometry &reducedPattern,
|
||||
const std::unordered_set<size_t> &reducedModelExcludedEdges) {
|
||||
const std::unordered_set<size_t> &reducedModelExcludedEdges,const int& optimizationParameters) {
|
||||
// fullPattern.setLabel("full_pattern_" + fullPattern.getLabel());
|
||||
// reducedPattern.setLabel("reduced_pattern_" + reducedPattern.getLabel());
|
||||
assert(fullPattern.VN() == reducedPattern.VN() &&
|
||||
|
|
@ -455,31 +426,64 @@ void ReducedModelOptimizer::initializePatterns(
|
|||
This is not very generic */
|
||||
computeMaps(copyFullPattern, copyReducedPattern, reducedModelExcludedEdges);
|
||||
createSimulationMeshes(copyFullPattern, copyReducedPattern);
|
||||
initializeOptimizationParameters(m_pReducedPatternSimulationMesh);
|
||||
initializeOptimizationParameters(m_pReducedPatternSimulationMesh,optimizationParameters);
|
||||
}
|
||||
|
||||
void updateMesh(long n, const double *x) {
|
||||
std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh =
|
||||
global.reducedPatternSimulationJobs[global.simulationScenarioIndices[0]]
|
||||
->pMesh;
|
||||
|
||||
const double E=global.initialParameters(0)*x[0];
|
||||
const double A=global.initialParameters(1) * x[1];
|
||||
const double beamWidth=std::sqrt(A);
|
||||
const double beamHeight=beamWidth;
|
||||
|
||||
const double J=global.initialParameters(2) * x[2];
|
||||
const double I2=global.initialParameters(3) * x[3];
|
||||
const double I3=global.initialParameters(4) * x[4];
|
||||
for (EdgeIndex ei = 0; ei < pReducedPatternSimulationMesh->EN(); ei++) {
|
||||
Element &e = pReducedPatternSimulationMesh->elements[ei];
|
||||
e.setDimensions(
|
||||
RectangularBeamDimensions(beamWidth,
|
||||
beamHeight));
|
||||
e.setMaterial(ElementMaterial(e.material.poissonsRatio,
|
||||
E));
|
||||
e.J = J;
|
||||
e.I2 = I2;
|
||||
e.I3 = I3;
|
||||
}
|
||||
assert(pReducedPatternSimulationMesh->EN() == 12);
|
||||
assert(n>=2);
|
||||
auto R = vcg::RotationMatrix(
|
||||
ReducedModelOptimizer::patternPlaneNormal,
|
||||
vcg::math::ToRad(x[n-1] - global.innerHexagonInitialRotationAngle));
|
||||
for (int rotationCounter = 0;
|
||||
rotationCounter < ReducedModelOptimizer::fanSize; rotationCounter++) {
|
||||
pReducedPatternSimulationMesh->vert[2 * rotationCounter].P() =
|
||||
R * global.g_innerHexagonVectors[rotationCounter] * x[n-2];
|
||||
}
|
||||
|
||||
pReducedPatternSimulationMesh->reset();
|
||||
#ifdef POLYSCOPE_DEFINED
|
||||
pReducedPatternSimulationMesh->updateEigenEdgeAndVertices();
|
||||
#endif
|
||||
}
|
||||
|
||||
|
||||
void ReducedModelOptimizer::initializeOptimizationParameters(
|
||||
const std::shared_ptr<SimulationMesh> &mesh) {
|
||||
global.numberOfOptimizationParameters = 7;
|
||||
const std::shared_ptr<SimulationMesh> &mesh,const int& optimizationParamters) {
|
||||
global.numberOfOptimizationParameters = optimizationParamters;
|
||||
global.initialParameters.resize(global.numberOfOptimizationParameters);
|
||||
// Save save the beam stiffnesses
|
||||
// for (size_t ei = 0; ei < pReducedModelElementalMesh->EN(); ei++) {
|
||||
// Element &e = pReducedModelElementalMesh->elements[ei];
|
||||
// if (g_reducedPatternExludedEdges.contains(ei)) {
|
||||
// const double stiffnessFactor = 5;
|
||||
// e.axialConstFactor *= stiffnessFactor;
|
||||
// e.torsionConstFactor *= stiffnessFactor;
|
||||
// e.firstBendingConstFactor *= stiffnessFactor;
|
||||
// e.secondBendingConstFactor *= stiffnessFactor;
|
||||
// }
|
||||
|
||||
global.initialParameters(0) = mesh->elements[0].material.youngsModulus;
|
||||
global.initialParameters(1) = mesh->elements[0].A;
|
||||
global.initialParameters(2) = mesh->elements[0].J;
|
||||
global.initialParameters(3) = mesh->elements[0].I2;
|
||||
global.initialParameters(4) = mesh->elements[0].I3;
|
||||
global.initialParameters(5) = global.innerHexagonInitialPos;
|
||||
global.initialParameters(optimizationParamters-2) = global.innerHexagonInitialPos;
|
||||
global.innerHexagonInitialRotationAngle = 30;
|
||||
global.initialParameters(6) = global.innerHexagonInitialRotationAngle;
|
||||
global.initialParameters(optimizationParamters-1) = global.innerHexagonInitialRotationAngle;
|
||||
}
|
||||
|
||||
void ReducedModelOptimizer::computeReducedModelSimulationJob(
|
||||
|
|
@ -522,7 +526,7 @@ void ReducedModelOptimizer::visualizeResults(
|
|||
&fullPatternSimulationJobs,
|
||||
const std::vector<std::shared_ptr<SimulationJob>>
|
||||
&reducedPatternSimulationJobs,
|
||||
const std::vector<SimulationScenario> &simulationScenarios,
|
||||
const std::vector<ReducedModelOptimization::SimulationScenario> &simulationScenarios,
|
||||
const std::unordered_map<ReducedPatternVertexIndex, FullPatternVertexIndex>
|
||||
&reducedToFullInterfaceViMap) {
|
||||
FormFinder simulator;
|
||||
|
|
@ -549,7 +553,7 @@ void ReducedModelOptimizer::visualizeResults(
|
|||
simulator.executeSimulation(pReducedPatternSimulationJob);
|
||||
double normalizationFactor = 1;
|
||||
if (global.optimizationSettings.normalizationStrategy !=
|
||||
Settings::NormalizationStrategy::NonNormalized) {
|
||||
ReducedModelOptimization::Settings::NormalizationStrategy::NonNormalized) {
|
||||
normalizationFactor =
|
||||
global.objectiveNormalizationValues[simulationScenarioIndex];
|
||||
}
|
||||
|
|
@ -559,7 +563,7 @@ void ReducedModelOptimizer::visualizeResults(
|
|||
reducedModelResults.displacements, fullModelResults.displacements,
|
||||
reducedToFullInterfaceViMap, normalizationFactor);
|
||||
std::cout << "Error of simulation scenario "
|
||||
<< simulationScenarioStrings[simulationScenarioIndex] << " is "
|
||||
<< ReducedModelOptimization::simulationScenarioStrings[simulationScenarioIndex] << " is "
|
||||
<< error << std::endl;
|
||||
totalError += error;
|
||||
reducedModelResults.registerForDrawing();
|
||||
|
|
@ -570,7 +574,7 @@ void ReducedModelOptimizer::visualizeResults(
|
|||
"patterns/RodModelOptimizationForPatterns/build/OptimizationResults/"
|
||||
"Images/" +
|
||||
pFullPatternSimulationMesh->getLabel() + "_" +
|
||||
simulationScenarioStrings[simulationScenarioIndex];
|
||||
ReducedModelOptimization::simulationScenarioStrings[simulationScenarioIndex];
|
||||
polyscope::show();
|
||||
polyscope::screenshot(screenshotFilename, false);
|
||||
fullModelResults.unregister();
|
||||
|
|
@ -636,10 +640,10 @@ void ReducedModelOptimizer::computeDesiredReducedModelDisplacements(
|
|||
}
|
||||
}
|
||||
|
||||
ReducedModelOptimizer::Results
|
||||
ReducedModelOptimization::Results
|
||||
ReducedModelOptimizer::runOptimization(const Settings &settings) {
|
||||
|
||||
global.gObjectiveValueHistory.clear();
|
||||
global.objectiveValueHistory.clear();
|
||||
dlib::matrix<double, 0, 1> xMin(global.numberOfOptimizationParameters);
|
||||
dlib::matrix<double, 0, 1> xMax(global.numberOfOptimizationParameters);
|
||||
for (int i = 0; i < global.numberOfOptimizationParameters; i++) {
|
||||
|
|
@ -657,36 +661,43 @@ ReducedModelOptimizer::runOptimization(const Settings &settings) {
|
|||
auto end = std::chrono::system_clock::now();
|
||||
auto elapsed =
|
||||
std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
|
||||
Results results;
|
||||
ReducedModelOptimization::Results results;
|
||||
results.numberOfSimulationCrashes = global.numOfSimulationCrashes;
|
||||
results.x = global.minX;
|
||||
results.optimalXNameValuePairs.reserve(settings.xRanges.size());
|
||||
for(int xVariableIndex=0;xVariableIndex<settings.xRanges.size();xVariableIndex++){
|
||||
results.optimalXNameValuePairs[settings.xRanges[xVariableIndex].label]=
|
||||
global.minX[xVariableIndex];
|
||||
}
|
||||
results.objectiveValue = global.minY;
|
||||
#ifdef POLYSCOPE_DEFINED
|
||||
std::cout<<"Total optimal objective value:"<<global.minY<<std::endl;
|
||||
if (global.minY != result.y) {
|
||||
std::cerr << "Global min objective is not equal to result objective"
|
||||
<< std::endl;
|
||||
}
|
||||
#endif
|
||||
|
||||
|
||||
// Compute obj value per simulation scenario and the raw objective value
|
||||
results.rawObjectiveValue=0;
|
||||
updateMesh(results.x.size(), results.x.data());
|
||||
std::vector<double> optimalX(results.optimalXNameValuePairs.size());
|
||||
for(int xVariableIndex=0;xVariableIndex<global.numberOfOptimizationParameters;xVariableIndex++){
|
||||
optimalX[xVariableIndex]=
|
||||
global.minX[xVariableIndex];
|
||||
}
|
||||
updateMesh(optimalX.size(), optimalX.data());
|
||||
results.objectiveValuePerSimulationScenario.resize(
|
||||
NumberOfSimulationScenarios);
|
||||
FormFinder::Settings simulationSettings;
|
||||
FormFinder simulator;
|
||||
for (int simulationScenarioIndex = 0;
|
||||
simulationScenarioIndex < NumberOfSimulationScenarios;
|
||||
simulationScenarioIndex++) {
|
||||
ReducedModelOptimization::NumberOfSimulationScenarios);
|
||||
LinearSimulationModel simulator;
|
||||
for (int simulationScenarioIndex:global.simulationScenarioIndices) {
|
||||
SimulationResults reducedModelResults = simulator.executeSimulation(
|
||||
global.reducedPatternSimulationJobs[simulationScenarioIndex],
|
||||
simulationSettings);
|
||||
global.reducedPatternSimulationJobs[simulationScenarioIndex]);
|
||||
const double error = computeError(
|
||||
reducedModelResults.displacements,
|
||||
global.fullPatternDisplacements[simulationScenarioIndex],
|
||||
global.reducedToFullInterfaceViMap,
|
||||
global.objectiveNormalizationValues[simulationScenarioIndex]);
|
||||
results.rawObjectiveValue+=computeRawError(reducedModelResults.displacements,global.fullPatternDisplacements[simulationScenarioIndex],global.reducedToFullInterfaceViMap);
|
||||
|
||||
results.objectiveValuePerSimulationScenario[simulationScenarioIndex] =
|
||||
error;
|
||||
}
|
||||
|
|
@ -709,7 +720,7 @@ ReducedModelOptimizer::createScenarios(
|
|||
scenarios.resize(SimulationScenario::NumberOfSimulationScenarios);
|
||||
std::unordered_map<VertexIndex, std::unordered_set<DoFType>> fixedVertices;
|
||||
std::unordered_map<VertexIndex, Vector6d> nodalForces;
|
||||
const double forceMagnitude = 1;
|
||||
const double forceMagnitude = 10;
|
||||
|
||||
//// Axial
|
||||
SimulationScenario scenarioName = SimulationScenario::Axial;
|
||||
|
|
@ -722,7 +733,7 @@ ReducedModelOptimizer::createScenarios(
|
|||
nodalForces[viPair.first] =
|
||||
Vector6d({forceDirection[0], forceDirection[1], forceDirection[2], 0,
|
||||
0, 0}) *
|
||||
forceMagnitude * 2;
|
||||
forceMagnitude * 10;
|
||||
fixedVertices[viPair.second] =
|
||||
std::unordered_set<DoFType>{0, 1, 2, 3, 4, 5};
|
||||
}
|
||||
|
|
@ -756,7 +767,7 @@ ReducedModelOptimizer::createScenarios(
|
|||
nodalForces[viPair.first] =
|
||||
Vector6d({forceDirection[0], forceDirection[1], forceDirection[2], 0,
|
||||
0, 0}) *
|
||||
forceMagnitude * 1;
|
||||
forceMagnitude * 4;
|
||||
fixedVertices[viPair.second] =
|
||||
std::unordered_set<DoFType>{0, 1, 2, 3, 4, 5};
|
||||
}
|
||||
|
|
@ -806,7 +817,7 @@ ReducedModelOptimizer::createScenarios(
|
|||
fixedVertices.clear();
|
||||
nodalForces.clear();
|
||||
for (const auto &viPair : m_fullPatternOppositeInterfaceViMap) {
|
||||
nodalForces[viPair.first] = Vector6d({0, 0, forceMagnitude, 0, 0, 0}) * 1;
|
||||
nodalForces[viPair.first] = Vector6d({0, 0, forceMagnitude, 0, 0, 0}) * 0.5;
|
||||
fixedVertices[viPair.second] =
|
||||
std::unordered_set<DoFType>{0, 1, 2, 3, 4, 5};
|
||||
}
|
||||
|
|
@ -814,7 +825,7 @@ ReducedModelOptimizer::createScenarios(
|
|||
SimulationJob(pMesh, simulationScenarioStrings[scenarioName],
|
||||
fixedVertices, nodalForces, {}));
|
||||
|
||||
//// Double using moments
|
||||
//// Dome using moments
|
||||
scenarioName = SimulationScenario::Dome;
|
||||
fixedVertices.clear();
|
||||
nodalForces.clear();
|
||||
|
|
@ -903,7 +914,7 @@ void ReducedModelOptimizer::computeObjectiveValueNormalizationFactors() {
|
|||
}
|
||||
}
|
||||
|
||||
ReducedModelOptimizer::Results ReducedModelOptimizer::optimize(
|
||||
Results ReducedModelOptimizer::optimize(
|
||||
const Settings &optimizationSettings,
|
||||
const std::vector<SimulationScenario> &simulationScenarios) {
|
||||
|
||||
|
|
|
|||
|
|
@ -1,13 +1,14 @@
|
|||
#ifndef REDUCEDMODELOPTIMIZER_HPP
|
||||
#define REDUCEDMODELOPTIMIZER_HPP
|
||||
|
||||
#include "beamformfinder.hpp"
|
||||
#include "drmsimulationmodel.hpp"
|
||||
#include "csvfile.hpp"
|
||||
#include "edgemesh.hpp"
|
||||
#include "elementalmesh.hpp"
|
||||
#include "simulationmesh.hpp"
|
||||
#include "linearsimulationmodel.hpp"
|
||||
#include "matplot/matplot.h"
|
||||
#include <Eigen/Dense>
|
||||
#include "reducedmodeloptimizer_structs.hpp"
|
||||
|
||||
#ifdef POLYSCOPE_DEFINED
|
||||
#include "polyscope/color_management.h"
|
||||
|
|
@ -16,6 +17,7 @@ using FullPatternVertexIndex = VertexIndex;
|
|||
using ReducedPatternVertexIndex = VertexIndex;
|
||||
|
||||
class ReducedModelOptimizer {
|
||||
|
||||
std::shared_ptr<SimulationMesh> m_pReducedPatternSimulationMesh;
|
||||
std::shared_ptr<SimulationMesh> m_pFullPatternSimulationMesh;
|
||||
std::unordered_map<FullPatternVertexIndex, ReducedPatternVertexIndex>
|
||||
|
|
@ -25,318 +27,14 @@ class ReducedModelOptimizer {
|
|||
std::unordered_map<size_t, size_t> nodeToSlot;
|
||||
std::unordered_map<size_t, std::unordered_set<size_t>> slotToNode;
|
||||
#ifdef POLYSCOPE_DEFINED
|
||||
struct StaticColors {
|
||||
glm::vec3 fullInitial;
|
||||
glm::vec3 fullDeformed;
|
||||
glm::vec3 reducedInitial;
|
||||
glm::vec3 reducedDeformed;
|
||||
StaticColors() {
|
||||
fullInitial = {0.416666, 0.109804, 0.890196};
|
||||
fullDeformed = {0.583333, 0.890196, 0.109804};
|
||||
reducedInitial = {0.890196, 0.109804, 0.193138};
|
||||
reducedDeformed = {0.109804, 0.890196, 0.806863};
|
||||
}
|
||||
};
|
||||
inline static StaticColors colors;
|
||||
#endif // POLYSCOPE_DEFINED
|
||||
|
||||
public:
|
||||
inline static int fanSize{6};
|
||||
inline static VectorType patternPlaneNormal{0, 0, 1};
|
||||
enum SimulationScenario {
|
||||
Axial,
|
||||
Shear,
|
||||
Bending,
|
||||
Dome,
|
||||
Saddle,
|
||||
NumberOfSimulationScenarios
|
||||
};
|
||||
struct xRange{
|
||||
std::string label;
|
||||
double min;
|
||||
double max;
|
||||
std::string toString() const {
|
||||
return label + "=[" + std::to_string(min) + "," + std::to_string(max) +
|
||||
"]";
|
||||
}
|
||||
};
|
||||
struct Results;
|
||||
|
||||
struct Settings {
|
||||
enum NormalizationStrategy {
|
||||
NonNormalized,
|
||||
Epsilon,
|
||||
MaxDisplacement,
|
||||
EqualDisplacements
|
||||
};
|
||||
inline static vector<std::string> normalizationStrategyStrings{
|
||||
"NonNormalized", "Epsilon", "MaxDsiplacement", "EqualDisplacements"};
|
||||
std::vector<xRange> xRanges;
|
||||
int numberOfFunctionCalls{100};
|
||||
double solutionAccuracy{1e-2};
|
||||
NormalizationStrategy normalizationStrategy{Epsilon};
|
||||
double normalizationParameter{0.003};
|
||||
|
||||
std::string toString() const {
|
||||
std::string settingsString;
|
||||
if (!xRanges.empty()) {
|
||||
std::string xRangesString;
|
||||
for (const xRange &range : xRanges) {
|
||||
xRangesString += range.toString() + " ";
|
||||
}
|
||||
settingsString += xRangesString;
|
||||
}
|
||||
settingsString +=
|
||||
"FuncCalls=" + std::to_string(numberOfFunctionCalls) +
|
||||
" Accuracy=" + std::to_string(solutionAccuracy) +
|
||||
" Norm=" + normalizationStrategyStrings[normalizationStrategy];
|
||||
|
||||
return settingsString;
|
||||
}
|
||||
|
||||
void writeHeaderTo(csvFile &os) const {
|
||||
if (!xRanges.empty()) {
|
||||
for (const xRange &range : xRanges) {
|
||||
os << range.label + " max";
|
||||
os << range.label + " min";
|
||||
}
|
||||
}
|
||||
os << "Function Calls";
|
||||
os << "Solution Accuracy";
|
||||
os << "Normalization strategy";
|
||||
// os << std::endl;
|
||||
}
|
||||
|
||||
void writeSettingsTo(csvFile &os) const {
|
||||
if (!xRanges.empty()) {
|
||||
for (const xRange &range : xRanges) {
|
||||
os << range.max;
|
||||
os << range.min;
|
||||
}
|
||||
}
|
||||
os << numberOfFunctionCalls;
|
||||
os << solutionAccuracy;
|
||||
os << normalizationStrategyStrings[normalizationStrategy] + "_" +
|
||||
std::to_string(normalizationParameter);
|
||||
}
|
||||
};
|
||||
struct Results {
|
||||
double time{-1};
|
||||
int numberOfSimulationCrashes{0};
|
||||
std::vector<double> x;
|
||||
double objectiveValue;
|
||||
double rawObjectiveValue;
|
||||
std::vector<double> objectiveValuePerSimulationScenario;
|
||||
std::vector<std::shared_ptr<SimulationJob>> fullPatternSimulationJobs;
|
||||
std::vector<std::shared_ptr<SimulationJob>> reducedPatternSimulationJobs;
|
||||
|
||||
void save(const string &saveToPath) const {
|
||||
assert(std::filesystem::is_directory(saveToPath));
|
||||
|
||||
const int numberOfSimulationJobs = fullPatternSimulationJobs.size();
|
||||
for (int simulationJobIndex = 0;
|
||||
simulationJobIndex < numberOfSimulationJobs; simulationJobIndex++) {
|
||||
const std::shared_ptr<SimulationJob> &pFullPatternSimulationJob =
|
||||
fullPatternSimulationJobs[simulationJobIndex];
|
||||
std::filesystem::path simulationJobFolderPath(
|
||||
std::filesystem::path(saveToPath)
|
||||
.append(pFullPatternSimulationJob->label));
|
||||
std::filesystem::create_directory(simulationJobFolderPath);
|
||||
const auto fullPatternDirectoryPath =
|
||||
std::filesystem::path(simulationJobFolderPath).append("Full");
|
||||
std::filesystem::create_directory(fullPatternDirectoryPath);
|
||||
pFullPatternSimulationJob->save(fullPatternDirectoryPath.string());
|
||||
const std::shared_ptr<SimulationJob> &pReducedPatternSimulationJob =
|
||||
reducedPatternSimulationJobs[simulationJobIndex];
|
||||
const auto reducedPatternDirectoryPath =
|
||||
std::filesystem::path(simulationJobFolderPath).append("Reduced");
|
||||
if (!std::filesystem::exists(reducedPatternDirectoryPath)) {
|
||||
std::filesystem::create_directory(reducedPatternDirectoryPath);
|
||||
}
|
||||
pReducedPatternSimulationJob->save(
|
||||
reducedPatternDirectoryPath.string());
|
||||
}
|
||||
}
|
||||
void load(const string &loadFromPath) {
|
||||
assert(std::filesystem::is_directory(loadFromPath));
|
||||
|
||||
for (const auto &directoryEntry :
|
||||
filesystem::directory_iterator(loadFromPath)) {
|
||||
const auto simulationScenarioPath = directoryEntry.path();
|
||||
if (!std::filesystem::is_directory(simulationScenarioPath)) {
|
||||
continue;
|
||||
}
|
||||
// Load reduced pattern files
|
||||
for (const auto &fileEntry : filesystem::directory_iterator(
|
||||
std::filesystem::path(simulationScenarioPath)
|
||||
.append("Full"))) {
|
||||
const auto filepath = fileEntry.path();
|
||||
if (filepath.extension() == ".json") {
|
||||
SimulationJob job;
|
||||
job.load(filepath.string());
|
||||
fullPatternSimulationJobs.push_back(
|
||||
std::make_shared<SimulationJob>(job));
|
||||
}
|
||||
}
|
||||
|
||||
// Load full pattern files
|
||||
for (const auto &fileEntry : filesystem::directory_iterator(
|
||||
std::filesystem::path(simulationScenarioPath)
|
||||
.append("Reduced"))) {
|
||||
const auto filepath = fileEntry.path();
|
||||
if (filepath.extension() == ".json") {
|
||||
SimulationJob job;
|
||||
job.load(filepath.string());
|
||||
reducedPatternSimulationJobs.push_back(
|
||||
std::make_shared<SimulationJob>(job));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
#if POLYSCOPE_DEFINED
|
||||
void draw() const {
|
||||
initPolyscope();
|
||||
FormFinder simulator;
|
||||
LinearSimulationModel linearSimulator;
|
||||
assert(fullPatternSimulationJobs.size() ==
|
||||
reducedPatternSimulationJobs.size());
|
||||
fullPatternSimulationJobs[0]->pMesh->registerForDrawing(
|
||||
colors.fullInitial);
|
||||
reducedPatternSimulationJobs[0]->pMesh->registerForDrawing(
|
||||
colors.reducedInitial, false);
|
||||
|
||||
const int numberOfSimulationJobs = fullPatternSimulationJobs.size();
|
||||
for (int simulationJobIndex = 0;
|
||||
simulationJobIndex < numberOfSimulationJobs; simulationJobIndex++) {
|
||||
// Drawing of full pattern results
|
||||
const std::shared_ptr<SimulationJob> &pFullPatternSimulationJob =
|
||||
fullPatternSimulationJobs[simulationJobIndex];
|
||||
pFullPatternSimulationJob->registerForDrawing(
|
||||
fullPatternSimulationJobs[0]->pMesh->getLabel());
|
||||
SimulationResults fullModelResults =
|
||||
simulator.executeSimulation(pFullPatternSimulationJob);
|
||||
fullModelResults.registerForDrawing(colors.fullDeformed);
|
||||
SimulationResults fullModelLinearResults =
|
||||
linearSimulator.executeSimulation(pFullPatternSimulationJob);
|
||||
fullModelLinearResults.setLabelPrefix("linear");
|
||||
fullModelLinearResults.registerForDrawing(colors.fullDeformed, false);
|
||||
// Drawing of reduced pattern results
|
||||
const std::shared_ptr<SimulationJob> &pReducedPatternSimulationJob =
|
||||
reducedPatternSimulationJobs[simulationJobIndex];
|
||||
SimulationResults reducedModelResults =
|
||||
simulator.executeSimulation(pReducedPatternSimulationJob);
|
||||
reducedModelResults.registerForDrawing(colors.reducedDeformed);
|
||||
SimulationResults reducedModelLinearResults =
|
||||
linearSimulator.executeSimulation(pReducedPatternSimulationJob);
|
||||
reducedModelLinearResults.setLabelPrefix("linear");
|
||||
reducedModelLinearResults.registerForDrawing(colors.reducedDeformed,
|
||||
false);
|
||||
polyscope::options::programName =
|
||||
fullPatternSimulationJobs[0]->pMesh->getLabel();
|
||||
polyscope::view::resetCameraToHomeView();
|
||||
polyscope::show();
|
||||
// Save a screensh
|
||||
const std::string screenshotFilename =
|
||||
"/home/iason/Coding/Projects/Approximating shapes with flat "
|
||||
"patterns/RodModelOptimizationForPatterns/Results/Images/" +
|
||||
fullPatternSimulationJobs[0]->pMesh->getLabel() + "_" +
|
||||
pFullPatternSimulationJob->getLabel();
|
||||
polyscope::screenshot(screenshotFilename, false);
|
||||
fullModelResults.unregister();
|
||||
reducedModelResults.unregister();
|
||||
reducedModelLinearResults.unregister();
|
||||
fullModelLinearResults.unregister();
|
||||
// double error = computeError(
|
||||
// reducedModelResults.displacements,fullModelResults.displacements,
|
||||
// );
|
||||
// std::cout << "Error of simulation scenario "
|
||||
// <<
|
||||
// simula simulationScenarioStrings[simulationScenarioIndex]
|
||||
// << " is "
|
||||
// << error << std::endl;
|
||||
}
|
||||
}
|
||||
#endif // POLYSCOPE_DEFINED
|
||||
void saveMeshFiles() const {
|
||||
const int numberOfSimulationJobs = fullPatternSimulationJobs.size();
|
||||
assert(numberOfSimulationJobs != 0 &&
|
||||
fullPatternSimulationJobs.size() ==
|
||||
reducedPatternSimulationJobs.size());
|
||||
|
||||
fullPatternSimulationJobs[0]->pMesh->savePly(
|
||||
"FullPattern_undeformed.ply");
|
||||
reducedPatternSimulationJobs[0]->pMesh->savePly(
|
||||
"ReducedPattern_undeformed.ply");
|
||||
FormFinder simulator;
|
||||
for (int simulationJobIndex = 0;
|
||||
simulationJobIndex < numberOfSimulationJobs; simulationJobIndex++) {
|
||||
// Drawing of full pattern results
|
||||
const std::shared_ptr<SimulationJob> &pFullPatternSimulationJob =
|
||||
fullPatternSimulationJobs[simulationJobIndex];
|
||||
SimulationResults fullModelResults =
|
||||
simulator.executeSimulation(pFullPatternSimulationJob);
|
||||
fullModelResults.saveDeformedModel();
|
||||
|
||||
// Drawing of reduced pattern results
|
||||
const std::shared_ptr<SimulationJob> &pReducedPatternSimulationJob =
|
||||
reducedPatternSimulationJobs[simulationJobIndex];
|
||||
SimulationResults reducedModelResults =
|
||||
simulator.executeSimulation(pReducedPatternSimulationJob);
|
||||
reducedModelResults.saveDeformedModel();
|
||||
}
|
||||
}
|
||||
|
||||
void
|
||||
writeHeaderTo(const ReducedModelOptimizer::Settings &settings_optimization,
|
||||
csvFile &os) {
|
||||
os << "Total raw Obj value";
|
||||
os << "Total Obj value";
|
||||
for (int simulationScenarioIndex = 0;
|
||||
simulationScenarioIndex <
|
||||
SimulationScenario::NumberOfSimulationScenarios;
|
||||
simulationScenarioIndex++) {
|
||||
os << "Obj value " + simulationScenarioStrings[simulationScenarioIndex];
|
||||
}
|
||||
for (const ReducedModelOptimizer::xRange &range :
|
||||
settings_optimization.xRanges) {
|
||||
os << range.label;
|
||||
}
|
||||
os << "Time(s)";
|
||||
os << "#Crashes";
|
||||
}
|
||||
|
||||
void
|
||||
writeResultsTo(const ReducedModelOptimizer::Settings &settings_optimization,
|
||||
csvFile &os) const {
|
||||
os << rawObjectiveValue;
|
||||
os << objectiveValue;
|
||||
for (double scenarioObjValue : objectiveValuePerSimulationScenario) {
|
||||
os << scenarioObjValue;
|
||||
}
|
||||
for (const double &optimalX : x) {
|
||||
os << optimalX;
|
||||
}
|
||||
|
||||
for (int unusedXVarCounter = 0;
|
||||
unusedXVarCounter < settings_optimization.xRanges.size() - x.size();
|
||||
unusedXVarCounter++) {
|
||||
os << "-";
|
||||
}
|
||||
|
||||
os << time;
|
||||
if (numberOfSimulationCrashes == 0) {
|
||||
os << "-";
|
||||
} else {
|
||||
os << numberOfSimulationCrashes;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
inline static const std::string simulationScenarioStrings[] = {
|
||||
"Axial", "Shear", "Bending", "Dome", "Saddle"};
|
||||
Results optimize(const Settings &xRanges,
|
||||
const std::vector<SimulationScenario> &simulationScenarios =
|
||||
std::vector<SimulationScenario>());
|
||||
ReducedModelOptimization::Results optimize(const ReducedModelOptimization::Settings &xRanges,
|
||||
const std::vector<ReducedModelOptimization::SimulationScenario> &simulationScenarios =
|
||||
std::vector<ReducedModelOptimization::SimulationScenario>());
|
||||
double operator()(const Eigen::VectorXd &x, Eigen::VectorXd &) const;
|
||||
|
||||
ReducedModelOptimizer(const std::vector<size_t> &numberOfNodesPerSlot);
|
||||
|
|
@ -348,9 +46,8 @@ public:
|
|||
SimulationJob
|
||||
getReducedSimulationJob(const SimulationJob &fullModelSimulationJob);
|
||||
|
||||
void initializePatterns(
|
||||
PatternGeometry &fullPattern, PatternGeometry &reducedPatterm,
|
||||
const std::unordered_set<size_t> &reducedModelExcludedEges);
|
||||
void initializePatterns(PatternGeometry &fullPattern, PatternGeometry &reducedPatterm,
|
||||
const std::unordered_set<size_t> &reducedModelExcludedEges, const int &optimizationParameters);
|
||||
|
||||
static void runSimulation(const std::string &filename,
|
||||
std::vector<double> &x);
|
||||
|
|
@ -383,7 +80,7 @@ public:
|
|||
&fullPatternSimulationJobs,
|
||||
const std::vector<std::shared_ptr<SimulationJob>>
|
||||
&reducedPatternSimulationJobs,
|
||||
const std::vector<SimulationScenario> &simulationScenarios,
|
||||
const std::vector<ReducedModelOptimization::SimulationScenario> &simulationScenarios,
|
||||
const std::unordered_map<ReducedPatternVertexIndex,
|
||||
FullPatternVertexIndex>
|
||||
&reducedToFullInterfaceViMap);
|
||||
|
|
@ -409,12 +106,13 @@ public:
|
|||
&reducedToFullInterfaceViMap,
|
||||
const double &normalizationFactor);
|
||||
|
||||
private:
|
||||
static double objective(double E, double A, double innerHexagonSize, double innerHexagonRotationAngle);
|
||||
private:
|
||||
static void computeDesiredReducedModelDisplacements(
|
||||
const SimulationResults &fullModelResults,
|
||||
const std::unordered_map<size_t, size_t> &displacementsReducedToFullMap,
|
||||
Eigen::MatrixX3d &optimalDisplacementsOfReducedModel);
|
||||
static Results runOptimization(const Settings &settings);
|
||||
static ReducedModelOptimization::Results runOptimization(const ReducedModelOptimization::Settings &settings);
|
||||
std::vector<std::shared_ptr<SimulationJob>>
|
||||
createScenarios(const std::shared_ptr<SimulationMesh> &pMesh);
|
||||
void computeMaps(PatternGeometry &fullModel, PatternGeometry &reducedPattern,
|
||||
|
|
@ -422,10 +120,11 @@ private:
|
|||
void createSimulationMeshes(PatternGeometry &fullModel,
|
||||
PatternGeometry &reducedModel);
|
||||
static void
|
||||
initializeOptimizationParameters(const std::shared_ptr<SimulationMesh> &mesh);
|
||||
initializeOptimizationParameters(const std::shared_ptr<SimulationMesh> &mesh, const int &optimizationParamters);
|
||||
|
||||
static double objective(long n, const double *x);
|
||||
FormFinder simulator;
|
||||
void computeObjectiveValueNormalizationFactors();
|
||||
};
|
||||
void updateMesh(long n, const double *x);
|
||||
#endif // REDUCEDMODELOPTIMIZER_HPP
|
||||
|
|
|
|||
Loading…
Reference in New Issue