680 lines
31 KiB
C++
680 lines
31 KiB
C++
#ifndef REDUCEDMODELOPTIMIZER_STRUCTS_HPP
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#define REDUCEDMODELOPTIMIZER_STRUCTS_HPP
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#include "csvfile.hpp"
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#include "drmsimulationmodel.hpp"
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#include "linearsimulationmodel.hpp"
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#include "simulation_structs.hpp"
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#include "unordered_map"
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#include <string>
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namespace ReducedPatternOptimization {
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enum BaseSimulationScenario {
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Axial,
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Shear,
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Bending,
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Dome,
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Saddle,
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NumberOfBaseSimulationScenarios
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};
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inline static std::vector<std::string> baseSimulationScenarioNames{"Axial",
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"Shear",
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"Bending",
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"Dome",
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"Saddle"};
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struct Colors
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{
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inline static std::array<double, 3> fullInitial{0.416666, 0.109804, 0.890196};
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inline static std::array<double, 3> fullDeformed{0.583333, 0.890196, 0.109804};
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inline static std::array<double, 3> reducedInitial{0.890196, 0.109804, 0.193138};
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inline static std::array<double, 3> reducedDeformed{0.109804, 0.890196, 0.806863};
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};
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struct xRange{
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std::string label;
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double min;
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double max;
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std::string toString() const {
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return label + "=[" + std::to_string(min) + "," + std::to_string(max) +
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"]";
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}
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void fromString(const std::string &s)
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{
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const std::size_t equalPos = s.find("=");
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label = s.substr(0, equalPos);
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const std::size_t commaPos = s.find(",");
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const size_t minBeginPos = equalPos + 2;
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min = std::stod(s.substr(minBeginPos, commaPos - minBeginPos));
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const size_t maxBeginPos = commaPos + 1;
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const std::size_t closingBracketPos = s.find("]");
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max = std::stod(s.substr(maxBeginPos, closingBracketPos - maxBeginPos));
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}
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bool operator==(const xRange &xrange) const
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{
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return label == xrange.label && min == xrange.min && max == xrange.max;
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}
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};
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struct Settings
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{
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enum NormalizationStrategy { NonNormalized, Epsilon };
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std::vector<xRange> xRanges;
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inline static vector<std::string> normalizationStrategyStrings{"NonNormalized", "Epsilon"};
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int numberOfFunctionCalls{100000};
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double solverAccuracy{1e-2};
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NormalizationStrategy normalizationStrategy{Epsilon};
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double normalizationParameter{0.003};
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struct ObjectiveWeights
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{
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double translational{1};
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double rotational{1};
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} objectiveWeights;
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struct JsonKeys
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{
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inline static std::string filename{"OptimizationSettings.json"};
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inline static std::string OptimizationVariables{"OptimizationVariables"};
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inline static std::string NumberOfFunctionCalls{"NumberOfFunctionCalls"};
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inline static std::string SolverAccuracy{"SolverAccuracy"};
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inline static std::string TranslationalObjectiveWeight{"TransObjWeight"};
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};
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void save(const std::filesystem::path &saveToPath)
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{
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assert(std::filesystem::is_directory(saveToPath));
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nlohmann::json json;
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//write x ranges
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for (size_t xRangeIndex = 0; xRangeIndex < xRanges.size(); xRangeIndex++) {
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const auto &xRange = xRanges[xRangeIndex];
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json[JsonKeys::OptimizationVariables + "_" + std::to_string(xRangeIndex)]
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= xRange.toString();
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}
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json[JsonKeys::NumberOfFunctionCalls] = numberOfFunctionCalls;
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json[JsonKeys::SolverAccuracy] = solverAccuracy;
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json[JsonKeys::TranslationalObjectiveWeight] = objectiveWeights.translational;
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std::filesystem::path jsonFilePath(
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std::filesystem::path(saveToPath).append(JsonKeys::filename));
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std::ofstream jsonFile(jsonFilePath.string());
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jsonFile << json;
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}
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bool load(const std::filesystem::path &loadFromPath)
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{
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assert(std::filesystem::is_directory(loadFromPath));
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//Load optimal X
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nlohmann::json json;
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std::filesystem::path jsonFilepath(
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std::filesystem::path(loadFromPath).append(JsonKeys::filename));
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if (!std::filesystem::exists(jsonFilepath)) {
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return false;
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}
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std::ifstream ifs(jsonFilepath);
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ifs >> json;
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//read x ranges
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size_t xRangeIndex = 0;
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while (true) {
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const std::string jsonXRangeKey = JsonKeys::OptimizationVariables + "_"
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+ std::to_string(xRangeIndex);
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if (!json.contains(jsonXRangeKey)) {
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break;
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}
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xRange x;
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x.fromString(json.at(jsonXRangeKey));
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xRanges.push_back(x);
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xRangeIndex++;
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}
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numberOfFunctionCalls = json.at(JsonKeys::NumberOfFunctionCalls);
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solverAccuracy = json.at(JsonKeys::SolverAccuracy);
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objectiveWeights.translational = json.at(JsonKeys::TranslationalObjectiveWeight);
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objectiveWeights.rotational = 2 - objectiveWeights.translational;
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return true;
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}
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std::string toString() const
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{
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std::string settingsString;
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if (!xRanges.empty()) {
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std::string xRangesString;
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for (const xRange &range : xRanges) {
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xRangesString += range.toString() + " ";
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}
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settingsString += xRangesString;
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}
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settingsString += "FuncCalls=" + std::to_string(numberOfFunctionCalls)
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+ " Accuracy=" + std::to_string(solverAccuracy)
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+ " TransWeight=" + std::to_string(objectiveWeights.translational)
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+ " RotWeight=" + std::to_string(objectiveWeights.rotational);
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return settingsString;
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}
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void writeHeaderTo(csvFile &os) const
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{
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if (!xRanges.empty()) {
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for (const xRange &range : xRanges) {
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os << range.label + " max";
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os << range.label + " min";
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}
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}
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os << "Function Calls";
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os << "Solution Accuracy";
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os << "Normalization strategy";
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os << "Trans weight";
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os << "Rot weight";
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// os << std::endl;
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}
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void writeSettingsTo(csvFile &os) const
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{
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if (!xRanges.empty()) {
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for (const xRange &range : xRanges) {
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os << range.max;
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os << range.min;
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}
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}
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os << numberOfFunctionCalls;
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os << solverAccuracy;
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os << normalizationStrategyStrings[normalizationStrategy] + "_"
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+ std::to_string(normalizationParameter);
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os << objectiveWeights.translational;
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os << objectiveWeights.rotational;
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}
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};
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inline bool operator==(const Settings &settings1, const Settings &settings2) noexcept
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{
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return settings1.numberOfFunctionCalls == settings2.numberOfFunctionCalls
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&& settings1.xRanges == settings2.xRanges
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&& settings1.solverAccuracy == settings2.solverAccuracy
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&& settings1.objectiveWeights.translational
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== settings2.objectiveWeights.translational;
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}
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inline void updateMeshWithOptimalVariables(const std::vector<double> &x, SimulationMesh &m)
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{
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assert(CrossSectionType::name == RectangularBeamDimensions::name);
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const double E = x[0];
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const double A = 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 = x[2];
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const double I2 = x[3];
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const double I3 = x[4];
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for (EdgeIndex ei = 0; ei < m.EN(); ei++) {
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Element &e = m.elements[ei];
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e.setDimensions(CrossSectionType(beamWidth, beamHeight));
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e.setMaterial(ElementMaterial(e.material.poissonsRatio, E));
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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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CoordType center_barycentric(1, 0, 0);
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CoordType interfaceEdgeMiddle_barycentric(0, 0.5, 0.5);
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CoordType movableVertex_barycentric((center_barycentric + interfaceEdgeMiddle_barycentric)
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* x[x.size() - 2]);
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CoordType patternCoord0 = CoordType(0, 0, 0);
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double bottomEdgeHalfSize = 0.03 / std::tan(M_PI / 3);
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CoordType interfaceNodePosition(0, -0.03, 0);
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CoordType patternBottomRight = interfaceNodePosition + CoordType(bottomEdgeHalfSize, 0, 0);
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CoordType patternBottomLeft = interfaceNodePosition - CoordType(bottomEdgeHalfSize, 0, 0);
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vcg::Triangle3<double> baseTriangle(patternCoord0, patternBottomLeft, patternBottomRight);
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CoordType baseTriangleMovableVertexPosition = baseTriangle.cP(0)
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* movableVertex_barycentric[0]
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+ baseTriangle.cP(1)
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* movableVertex_barycentric[1]
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+ baseTriangle.cP(2)
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* movableVertex_barycentric[2];
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VectorType patternPlaneNormal(0, 0, 1);
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baseTriangleMovableVertexPosition = vcg::RotationMatrix(patternPlaneNormal,
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vcg::math::ToRad(x[x.size() - 1]))
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* baseTriangleMovableVertexPosition;
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const int fanSize = 6;
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for (int rotationCounter = 0; rotationCounter < fanSize; rotationCounter++) {
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m.vert[2 * rotationCounter + 1].P() = vcg::RotationMatrix(patternPlaneNormal,
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vcg::math::ToRad(
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60.0 * rotationCounter))
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* baseTriangleMovableVertexPosition;
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}
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m.reset();
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}
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struct Results
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{
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std::string label{"EmptyLabel"};
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double time{-1};
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int numberOfSimulationCrashes{0};
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Settings settings;
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struct ObjectiveValues
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{
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double totalRaw;
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double total;
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std::vector<double> perSimulationScenario_rawTranslational;
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std::vector<double> perSimulationScenario_rawRotational;
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std::vector<double> perSimulationScenario_translational;
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std::vector<double> perSimulationScenario_rotational;
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std::vector<double> perSimulationScenario_total;
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} objectiveValue;
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// std::vector<std::pair<std::string,double>> optimalXNameValuePairs;
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std::vector<std::pair<std::string, double>> optimalXNameValuePairs;
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std::vector<std::shared_ptr<SimulationJob>> fullPatternSimulationJobs;
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std::vector<std::shared_ptr<SimulationJob>> reducedPatternSimulationJobs;
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PatternGeometry baseTriangleFullPattern; //non-fanned,non-tiled full pattern
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vcg::Triangle3<double> baseTriangle;
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struct JsonKeys
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{
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inline static std::string filename{"OptimizationResults.json"};
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inline static std::string optimizationVariables{"OptimizationVariables"};
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inline static std::string baseTriangle{"BaseTriangle"};
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inline static std::string Label{"Label"};
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inline static std::string FullPatternLabel{"FullPatternLabel"};
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inline static std::string Settings{"OptimizationSettings"};
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};
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void save(const string &saveToPath, const bool shouldExportDebugFiles = false)
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{
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std::filesystem::create_directories(saveToPath);
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//clear directory
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for (const auto &entry : std::filesystem::directory_iterator(saveToPath))
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std::filesystem::remove_all(entry.path());
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//Save optimal X
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nlohmann::json json_optimizationResults;
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json_optimizationResults[JsonKeys::Label] = label;
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std::string jsonValue_optimizationVariables;
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for (const auto &optimalXNameValuePair : optimalXNameValuePairs) {
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jsonValue_optimizationVariables.append(optimalXNameValuePair.first + ",");
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}
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jsonValue_optimizationVariables.pop_back(); // for deleting the last comma
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json_optimizationResults[JsonKeys::optimizationVariables] = jsonValue_optimizationVariables;
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for (const auto &optimalXNameValuePair : optimalXNameValuePairs) {
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json_optimizationResults[optimalXNameValuePair.first] = optimalXNameValuePair.second;
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}
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//base triangle
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json_optimizationResults[JsonKeys::baseTriangle]
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= std::vector<double>{baseTriangle.cP0(0)[0],
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baseTriangle.cP0(0)[1],
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baseTriangle.cP0(0)[2],
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baseTriangle.cP1(0)[0],
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baseTriangle.cP1(0)[1],
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baseTriangle.cP1(0)[2],
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baseTriangle.cP2(0)[0],
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baseTriangle.cP2(0)[1],
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baseTriangle.cP2(0)[2]};
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baseTriangleFullPattern.save(std::filesystem::path(saveToPath).string());
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json_optimizationResults[JsonKeys::FullPatternLabel] = baseTriangleFullPattern.getLabel();
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////Save to json file
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std::filesystem::path jsonFilePath(
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std::filesystem::path(saveToPath).append(JsonKeys::filename));
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std::ofstream jsonFile_optimizationResults(jsonFilePath.string());
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jsonFile_optimizationResults << json_optimizationResults;
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/*TODO: Refactor since the meshes are saved for each simulation scenario although they do not change*/
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//Save jobs and meshes for each simulation scenario
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if (shouldExportDebugFiles) {
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//Save the reduced and full patterns
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const std::filesystem::path simulationJobsPath(
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std::filesystem::path(saveToPath).append("SimulationJobs"));
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const int numberOfSimulationJobs = fullPatternSimulationJobs.size();
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for (int simulationScenarioIndex = 0;
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simulationScenarioIndex < numberOfSimulationJobs;
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simulationScenarioIndex++) {
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const std::shared_ptr<SimulationJob> &pFullPatternSimulationJob
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= fullPatternSimulationJobs[simulationScenarioIndex];
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std::filesystem::path simulationJobFolderPath(
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std::filesystem::path(simulationJobsPath)
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.append(pFullPatternSimulationJob->label));
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std::filesystem::create_directories(simulationJobFolderPath);
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const auto fullPatternDirectoryPath
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= std::filesystem::path(simulationJobFolderPath).append("Full");
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std::filesystem::create_directory(fullPatternDirectoryPath);
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pFullPatternSimulationJob->save(fullPatternDirectoryPath.string());
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const std::shared_ptr<SimulationJob> &pReducedPatternSimulationJob
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= reducedPatternSimulationJobs[simulationScenarioIndex];
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const auto reducedPatternDirectoryPath
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= std::filesystem::path(simulationJobFolderPath).append("Reduced");
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if (!std::filesystem::exists(reducedPatternDirectoryPath)) {
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std::filesystem::create_directory(reducedPatternDirectoryPath);
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}
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pReducedPatternSimulationJob->save(reducedPatternDirectoryPath.string());
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}
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}
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settings.save(saveToPath);
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#ifdef POLYSCOPE_DEFINED
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std::cout << "Saved optimization results to:" << saveToPath << std::endl;
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#endif
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}
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bool load(const string &loadFromPath)
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{
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assert(std::filesystem::is_directory(loadFromPath));
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std::filesystem::path jsonFilepath(
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std::filesystem::path(loadFromPath).append(JsonKeys::filename));
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if (!std::filesystem::exists(jsonFilepath)) {
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return false;
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}
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//Load optimal X
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nlohmann::json json_optimizationResults;
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std::ifstream ifs(std::filesystem::path(loadFromPath).append(JsonKeys::filename));
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ifs >> json_optimizationResults;
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label = json_optimizationResults.at(JsonKeys::Label);
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std::string optimizationVariablesString = *json_optimizationResults.find(
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JsonKeys::optimizationVariables);
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std::string optimizationVariablesDelimeter = ",";
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size_t pos = 0;
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std::vector<std::string> optimizationVariablesNames;
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while ((pos = optimizationVariablesString.find(optimizationVariablesDelimeter))
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!= std::string::npos) {
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const std::string variableName = optimizationVariablesString.substr(0, pos);
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optimizationVariablesNames.push_back(variableName);
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optimizationVariablesString.erase(0, pos + optimizationVariablesDelimeter.length());
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}
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optimizationVariablesNames.push_back(optimizationVariablesString); //add last variable name
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optimalXNameValuePairs.resize(optimizationVariablesNames.size());
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for (int xVariable_index = 0; xVariable_index < optimizationVariablesNames.size();
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xVariable_index++) {
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const std::string xVariable_name = optimizationVariablesNames[xVariable_index];
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const double xVariable_value = *json_optimizationResults.find(xVariable_name);
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optimalXNameValuePairs[xVariable_index] = std::make_pair(xVariable_name,
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xVariable_value);
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}
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const std::string fullPatternLabel = json_optimizationResults.at(
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JsonKeys::FullPatternLabel);
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baseTriangleFullPattern.load(
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std::filesystem::path(loadFromPath).append(fullPatternLabel + ".ply").string());
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std::vector<double> baseTriangleVertices = json_optimizationResults.at(
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JsonKeys::baseTriangle);
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baseTriangle.P0(0) = CoordType(baseTriangleVertices[0],
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baseTriangleVertices[1],
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baseTriangleVertices[2]);
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baseTriangle.P1(0) = CoordType(baseTriangleVertices[3],
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baseTriangleVertices[4],
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baseTriangleVertices[5]);
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baseTriangle.P2(0) = CoordType(baseTriangleVertices[6],
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baseTriangleVertices[7],
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baseTriangleVertices[8]);
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const std::filesystem::path simulationJobsFolderPath(
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std::filesystem::path(loadFromPath).append("SimulationJobs"));
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for (const auto &directoryEntry :
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filesystem::directory_iterator(simulationJobsFolderPath)) {
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const auto simulationScenarioPath = directoryEntry.path();
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if (!std::filesystem::is_directory(simulationScenarioPath)) {
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continue;
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}
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// Load full pattern files
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for (const auto &fileEntry : filesystem::directory_iterator(
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std::filesystem::path(simulationScenarioPath).append("Full"))) {
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const auto filepath = fileEntry.path();
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if (filepath.extension() == ".json") {
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SimulationJob job;
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job.load(filepath.string());
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fullPatternSimulationJobs.push_back(std::make_shared<SimulationJob>(job));
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}
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}
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// Load reduced pattern files and apply optimal parameters
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for (const auto &fileEntry : filesystem::directory_iterator(
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std::filesystem::path(simulationScenarioPath).append("Reduced"))) {
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const auto filepath = fileEntry.path();
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if (filepath.extension() == ".json") {
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SimulationJob job;
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job.load(filepath.string());
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applyOptimizationResults_innerHexagon(*this, baseTriangle, *job.pMesh);
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applyOptimizationResults_elements(*this, job.pMesh);
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reducedPatternSimulationJobs.push_back(std::make_shared<SimulationJob>(job));
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}
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}
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}
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settings.load(loadFromPath);
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return true;
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}
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template<typename MeshType>
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static void applyOptimizationResults_innerHexagon(
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const ReducedPatternOptimization::Results &reducedPattern_optimizationResults,
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const vcg::Triangle3<double> &patternBaseTriangle,
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MeshType &reducedPattern)
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{
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std::unordered_map<std::string, double>
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optimalXVariables(reducedPattern_optimizationResults.optimalXNameValuePairs.begin(),
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reducedPattern_optimizationResults.optimalXNameValuePairs.end());
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assert(optimalXVariables.contains("HexSize") && optimalXVariables.contains("HexAngle"));
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applyOptimizationResults_innerHexagon(optimalXVariables.at("HexSize"),
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optimalXVariables.at("HexAngle"),
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patternBaseTriangle,
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reducedPattern);
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}
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template<typename MeshType>
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static void applyOptimizationResults_innerHexagon(
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const double &hexSize,
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const double &hexAngle,
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const vcg::Triangle3<double> &patternBaseTriangle,
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MeshType &reducedPattern)
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{
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//Set optimal geometrical params of the reduced pattern
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// CoordType center_barycentric(1, 0, 0);
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// CoordType interfaceEdgeMiddle_barycentric(0, 0.5, 0.5);
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// CoordType movableVertex_barycentric(
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// (center_barycentric * (1 - hexSize) + interfaceEdgeMiddle_barycentric));
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CoordType movableVertex_barycentric(1 - hexSize, hexSize / 2, hexSize / 2);
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reducedPattern.vert[0].P() = patternBaseTriangle.cP(0) * movableVertex_barycentric[0]
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+ patternBaseTriangle.cP(1) * movableVertex_barycentric[1]
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+ patternBaseTriangle.cP(2) * movableVertex_barycentric[2];
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if (hexAngle != 0) {
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reducedPattern.vert[0].P() = vcg::RotationMatrix(CoordType{0, 0, 1},
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vcg::math::ToRad(hexAngle))
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* reducedPattern.vert[0].cP();
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}
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// CoordType p0 = reducedPattern.vert[0].P();
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// CoordType p1 = reducedPattern.vert[1].P();
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// int i = 0;
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// i++;
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}
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static void applyOptimizationResults_elements(
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const ReducedPatternOptimization::Results &reducedPattern_optimizationResults,
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const shared_ptr<SimulationMesh> &pTiledReducedPattern_simulationMesh)
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{
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assert(CrossSectionType::name == RectangularBeamDimensions::name);
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// Set reduced parameters fron the optimization results
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std::unordered_map<std::string, double>
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optimalXVariables(reducedPattern_optimizationResults.optimalXNameValuePairs.begin(),
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reducedPattern_optimizationResults.optimalXNameValuePairs.end());
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const std::string ALabel = "A";
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assert(optimalXVariables.contains(ALabel));
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const double A = optimalXVariables.at(ALabel);
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const double beamWidth = std::sqrt(A);
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const double beamHeight = beamWidth;
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CrossSectionType elementDimensions(beamWidth, beamHeight);
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const double poissonsRatio = 0.3;
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const std::string ymLabel = "E";
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assert(optimalXVariables.contains(ymLabel));
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const double E = optimalXVariables.at(ymLabel);
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const ElementMaterial elementMaterial(poissonsRatio, E);
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const std::string JLabel = "J";
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assert(optimalXVariables.contains(JLabel));
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const double J = optimalXVariables.at(JLabel);
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const std::string I2Label = "I2";
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assert(optimalXVariables.contains(I2Label));
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const double I2 = optimalXVariables.at(I2Label);
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const std::string I3Label = "I3";
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assert(optimalXVariables.contains(I3Label));
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const double I3 = optimalXVariables.at(I3Label);
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for (int ei = 0; ei < pTiledReducedPattern_simulationMesh->EN(); ei++) {
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Element &e = pTiledReducedPattern_simulationMesh->elements[ei];
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e.setDimensions(elementDimensions);
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e.setMaterial(elementMaterial);
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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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pTiledReducedPattern_simulationMesh->reset();
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}
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#if POLYSCOPE_DEFINED
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void draw() const {
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PolyscopeInterface::init();
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DRMSimulationModel drmSimulator;
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LinearSimulationModel linearSimulator;
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assert(fullPatternSimulationJobs.size() == reducedPatternSimulationJobs.size());
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fullPatternSimulationJobs[0]->pMesh->registerForDrawing(Colors::fullInitial);
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reducedPatternSimulationJobs[0]->pMesh->registerForDrawing(Colors::reducedInitial, false);
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const int numberOfSimulationJobs = fullPatternSimulationJobs.size();
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for (int simulationJobIndex = 0; simulationJobIndex < numberOfSimulationJobs;
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simulationJobIndex++) {
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// Drawing of full pattern results
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const std::shared_ptr<SimulationJob> &pFullPatternSimulationJob
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= fullPatternSimulationJobs[simulationJobIndex];
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pFullPatternSimulationJob->registerForDrawing(
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fullPatternSimulationJobs[0]->pMesh->getLabel());
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SimulationResults fullModelResults = drmSimulator.executeSimulation(
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pFullPatternSimulationJob);
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fullModelResults.registerForDrawing(Colors::fullDeformed, true, true);
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// SimulationResults fullModelLinearResults =
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// linearSimulator.executeSimulation(pFullPatternSimulationJob);
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// fullModelLinearResults.setLabelPrefix("linear");
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// fullModelLinearResults.registerForDrawing(Colors::fullDeformed,false);
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// Drawing of reduced pattern results
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const std::shared_ptr<SimulationJob> &pReducedPatternSimulationJob
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= reducedPatternSimulationJobs[simulationJobIndex];
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// SimulationResults reducedModelResults = drmSimulator.executeSimulation(
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// pReducedPatternSimulationJob);
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// reducedModelResults.registerForDrawing(Colors::reducedDeformed, false);
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SimulationResults reducedModelLinearResults = linearSimulator.executeSimulation(
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pReducedPatternSimulationJob);
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reducedModelLinearResults.setLabelPrefix("linear");
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reducedModelLinearResults.registerForDrawing(Colors::reducedDeformed, true, true);
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polyscope::options::programName = fullPatternSimulationJobs[0]->pMesh->getLabel();
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polyscope::view::resetCameraToHomeView();
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polyscope::show();
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// Save a screensh
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const std::string screenshotFilename
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= "/home/iason/Coding/Projects/Approximating shapes with flat "
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"patterns/RodModelOptimizationForPatterns/Results/Images/"
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+ fullPatternSimulationJobs[0]->pMesh->getLabel() + "_"
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+ pFullPatternSimulationJob->getLabel();
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polyscope::screenshot(screenshotFilename, false);
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fullModelResults.unregister();
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// reducedModelResults.unregister();
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reducedModelLinearResults.unregister();
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// fullModelLinearResults.unregister();
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// double error = computeError(
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// reducedModelResults.displacements,fullModelResults.displacements,
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// );
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// std::cout << "Error of simulation scenario "
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// <<
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// simula simulationScenarioStrings[simulationScenarioIndex]
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// << " is "
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// << error << std::endl;
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}
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}
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#endif // POLYSCOPE_DEFINED
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void saveMeshFiles() const {
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const int numberOfSimulationJobs = fullPatternSimulationJobs.size();
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assert(numberOfSimulationJobs != 0 &&
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fullPatternSimulationJobs.size() ==
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reducedPatternSimulationJobs.size());
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fullPatternSimulationJobs[0]->pMesh->save(
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"undeformed " + fullPatternSimulationJobs[0]->pMesh->getLabel() + ".ply");
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reducedPatternSimulationJobs[0]->pMesh->save(
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"undeformed " + reducedPatternSimulationJobs[0]->pMesh->getLabel() + ".ply");
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DRMSimulationModel simulator_drm;
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LinearSimulationModel simulator_linear;
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for (int simulationJobIndex = 0; simulationJobIndex < numberOfSimulationJobs;
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simulationJobIndex++) {
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// Drawing of full pattern results
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const std::shared_ptr<SimulationJob> &pFullPatternSimulationJob
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= fullPatternSimulationJobs[simulationJobIndex];
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SimulationResults fullModelResults = simulator_drm.executeSimulation(
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pFullPatternSimulationJob);
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fullModelResults.saveDeformedModel();
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// Drawing of reduced pattern results
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const std::shared_ptr<SimulationJob> &pReducedPatternSimulationJob
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= reducedPatternSimulationJobs[simulationJobIndex];
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SimulationResults reducedModelResults = simulator_linear.executeSimulation(
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pReducedPatternSimulationJob);
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reducedModelResults.saveDeformedModel();
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}
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}
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void writeHeaderTo(csvFile &os)
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{
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os << "Total raw Obj value";
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os << "Total Obj value";
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for (int simulationScenarioIndex = 0;
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simulationScenarioIndex < fullPatternSimulationJobs.size();
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simulationScenarioIndex++) {
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const std::string simulationScenarioName
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= fullPatternSimulationJobs[simulationScenarioIndex]->getLabel();
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os << "Obj value Trans " + simulationScenarioName;
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os << "Obj value Rot " + simulationScenarioName;
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os << "Obj value Total " + simulationScenarioName;
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}
|
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for (const auto &nameValuePair : optimalXNameValuePairs) {
|
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os << nameValuePair.first;
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}
|
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os << "Time(s)";
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os << "#Crashes";
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}
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void writeResultsTo(const Settings &settings_optimization, csvFile &os) const
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{
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os << objectiveValue.totalRaw;
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os << objectiveValue.total;
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for (int simulationScenarioIndex = 0;
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simulationScenarioIndex < fullPatternSimulationJobs.size();
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simulationScenarioIndex++) {
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os << objectiveValue.perSimulationScenario_translational[simulationScenarioIndex];
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os << objectiveValue.perSimulationScenario_rotational[simulationScenarioIndex];
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os << objectiveValue.perSimulationScenario_total[simulationScenarioIndex];
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}
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for (const auto &optimalXNameValuePair : optimalXNameValuePairs) {
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os << optimalXNameValuePair.second;
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}
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os << time;
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if (numberOfSimulationCrashes == 0) {
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os << "-";
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} else {
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os << numberOfSimulationCrashes;
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}
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}
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};
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} // namespace ReducedPatternOptimization
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#endif // REDUCEDMODELOPTIMIZER_STRUCTS_HPP
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