Splitted the update of the reduced pattern modular by splitting the geometry from the material parameters.
This commit is contained in:
parent
b58ae0e13b
commit
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45
src/main.cpp
45
src/main.cpp
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@ -38,7 +38,7 @@ 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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ReducedPatternOptimization::xRange beamE{"E", 0.001, 1000};
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ReducedPatternOptimization::xRange beamE{"E", 0.1, 100};
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ReducedPatternOptimization::xRange beamA{"A", 0.001, 1000};
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ReducedPatternOptimization::xRange beamI2{"I2", 0.001, 1000};
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ReducedPatternOptimization::xRange beamI3{"I3", 0.001, 1000};
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@ -46,27 +46,38 @@ int main(int argc, char *argv[]) {
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ReducedPatternOptimization::xRange innerHexagonSize{"HexSize", 0.05, 0.95};
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ReducedPatternOptimization::xRange innerHexagonAngle{"HexAngle", -30.0, 30.0};
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ReducedPatternOptimization::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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// settings_optimization.xRanges
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// = {beamE, beamA, beamJ, beamI2, beamI3, innerHexagonSize, innerHexagonAngle};
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settings_optimization.xRanges = {beamE, beamA, beamI2, 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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= ReducedPatternOptimization::Settings::NormalizationStrategy::Epsilon;
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settings_optimization.normalizationParameter = 0.0003;
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settings_optimization.solverAccuracy = 0.001;
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settings_optimization.translationNormalizationParameter = 1e-3;
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settings_optimization.rotationNormalizationParameter = vcg::math::ToRad(3.0);
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// settings_optimization.translationNormalizationParameter = 1e-15;
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// settings_optimization.rotationNormalizationParameter = vcg::math::ToRad(1e-15);
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// settings_optimization.solverAccuracy = 1e-3;
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settings_optimization.solverAccuracy = 1e-3;
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settings_optimization.objectiveWeights.translational = std::atof(argv[4]);
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settings_optimization.objectiveWeights.rotational = 2 - std::atof(argv[4]);
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// Optimize pair
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std::string xConcatNames;
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for (const auto &x : settings_optimization.xRanges) {
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xConcatNames.append(x.label + "_");
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}
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xConcatNames.pop_back();
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// Optimize pairthere
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const std::string pairName = fullPattern.getLabel() + "@" + reducedPattern.getLabel();
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const std::string optimizationName = pairName + "("
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+ std::to_string(settings_optimization.numberOfFunctionCalls)
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+ "_"
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+ to_string_with_precision(
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settings_optimization.objectiveWeights.translational)
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+ ")";
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+ ")" + "_" + xConcatNames;
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const bool input_resultDirectoryDefined = argc >= 6;
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const std::string optimizationResultsDirectory = input_resultDirectoryDefined
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? argv[5]
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@ -91,13 +102,14 @@ int main(int argc, char *argv[]) {
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}
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ReducedPatternOptimization::Results optimizationResults;
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bool optimizationAlreadyComputed = optimizationResultFolderExists;
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// bool optimizationAlreadyComputed = false;
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// if (optimizationResultFolderExists) {
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// const bool resultsWereSuccessfullyLoaded = optimizationResults.load(resultsOutputDir);
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// if (resultsWereSuccessfullyLoaded && optimizationResults.settings == settings_optimization) {
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// }
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// }
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constexpr bool shouldReoptimize = true;
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bool optimizationAlreadyComputed = false;
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if (!shouldReoptimize && optimizationResultFolderExists) {
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const bool resultsWereSuccessfullyLoaded = optimizationResults.load(resultsOutputDir);
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if (resultsWereSuccessfullyLoaded && optimizationResults.settings == settings_optimization) {
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optimizationAlreadyComputed = true;
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}
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}
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if (!optimizationAlreadyComputed) {
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auto start = std::chrono::system_clock::now();
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@ -135,6 +147,11 @@ int main(int argc, char *argv[]) {
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#ifdef POLYSCOPE_DEFINED
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// optimizationResults.saveMeshFiles();
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std::cout << "E:"
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<< optimizationResults.reducedPatternSimulationJobs[0]
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->pMesh->elements[0]
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.material.youngsModulus
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<< std::endl;
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optimizationResults.draw();
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#endif
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@ -52,6 +52,8 @@ double ReducedModelOptimizer::computeDisplacementError(
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const double rawError = computeRawTranslationalError(fullPatternDisplacements,
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reducedPatternDisplacements,
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reducedToFullInterfaceViMap);
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// std::cout << "raw trans error:" << rawError << std::endl;
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// std::cout << "raw trans error:" << normalizationFactor << std::endl;
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return rawError / normalizationFactor;
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}
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@ -120,6 +122,9 @@ double ReducedModelOptimizer::computeError(
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simulationResults_reducedPattern.displacements,
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reducedToFullInterfaceViMap,
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normalizationFactor_translationalDisplacement);
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// std::cout << "normalization factor:" << normalizationFactor_rotationalDisplacement << std::endl;
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// std::cout << "trans error:" << translationalError << std::endl;
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const double rotationalError
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= computeRotationalError(simulationResults_fullPattern.rotationalDisplacementQuaternion,
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simulationResults_reducedPattern.rotationalDisplacementQuaternion,
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@ -129,18 +134,19 @@ double ReducedModelOptimizer::computeError(
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+ global.optimizationSettings.objectiveWeights.rotational * rotationalError;
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}
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double ReducedModelOptimizer::objective(double E,double A,double J,double I2,double I3,
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double innerHexagonSize,
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double innerHexagonRotationAngle) {
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std::vector<double> x{E,A,J,I2,I3, innerHexagonSize, innerHexagonRotationAngle};
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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,double J,double I2,double I3,
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// double innerHexagonSize,
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// double innerHexagonRotationAngle) {
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// std::vector<double> x{E,A,J,I2,I3, 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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double ReducedModelOptimizer::objective(const dlib::matrix<double, 0, 1> &x)
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{
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// std::cout.precision(17);
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// for (int i = 0; i < x.size(); 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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// std::cout << x[n - 2] << " " << x[n - 1] << std::endl;
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@ -150,7 +156,10 @@ double ReducedModelOptimizer::objective(long n, const double *x) {
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// << e.firstBendingConstFactor << " " <<
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// e.secondBendingConstFactor
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// << std::endl;
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updateMesh(n, x);
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const int n = x.size();
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std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh
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= global.reducedPatternSimulationJobs[global.simulationScenarioIndices[0]]->pMesh;
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function_updateReducedPattern(x, pReducedPatternSimulationMesh);
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// global.reducedPatternSimulationJobs[0]->pMesh->registerForDrawing();
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// global.fullPatternSimulationJobs[0]->pMesh->registerForDrawing();
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// polyscope::show();
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@ -168,6 +177,9 @@ double ReducedModelOptimizer::objective(long n, const double *x) {
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for (const int simulationScenarioIndex : global.simulationScenarioIndices) {
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const std::shared_ptr<SimulationJob> &reducedJob
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= global.reducedPatternSimulationJobs[simulationScenarioIndex];
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//#ifdef POLYSCOPE_DEFINED
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// std::cout << reducedJob->getLabel() << ":" << std::endl;
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//#endif
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SimulationResults reducedModelResults = simulator.executeSimulation(reducedJob);
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// std::string filename;
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if (!reducedModelResults.converged) {
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@ -177,7 +189,7 @@ double ReducedModelOptimizer::objective(long n, const double *x) {
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std::cout << "Failed simulation" << std::endl;
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#endif
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} else {
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const bool usePotentialEnergy = false;
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constexpr bool usePotentialEnergy = false;
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double simulationScenarioError;
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if (usePotentialEnergy) {
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simulationScenarioError = std::abs(
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@ -191,17 +203,17 @@ double ReducedModelOptimizer::objective(long n, const double *x) {
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global.translationalDisplacementNormalizationValues[simulationScenarioIndex],
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global.rotationalDisplacementNormalizationValues[simulationScenarioIndex]);
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}
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#ifdef POLYSCOPE_DEFINED
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// std::cout << reducedJob->getLabel() << " sim error:" << simulationScenarioError
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// << std::endl;
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// reducedJob->pMesh->registerForDrawing(Colors::reducedInitial);
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// reducedModelResults.registerForDrawing(Colors::reducedDeformed);
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// global.fullPatternResults[simulationScenarioIndex].registerForDrawing(
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// Colors::fullDeformed);
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// polyscope::show();
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// reducedModelResults.unregister();
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// global.fullPatternResults[simulationScenarioIndex].unregister();
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#endif
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//#ifdef POLYSCOPE_DEFINED
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// reducedJob->pMesh->registerForDrawing(Colors::reducedInitial);
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// reducedModelResults.registerForDrawing(Colors::reducedDeformed);
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// global.pFullPatternSimulationMesh->registerForDrawing(Colors::fullDeformed);
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// global.fullPatternResults[simulationScenarioIndex].registerForDrawing(
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// Colors::fullDeformed);
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// polyscope::show();
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// reducedModelResults.unregister();
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// global.pFullPatternSimulationMesh->unregister();
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// global.fullPatternResults[simulationScenarioIndex].unregister();
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//#endif
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// if (global.optimizationSettings.normalizationStrategy !=
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// NormalizationStrategy::Epsilon &&
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// simulationScenarioError > 1) {
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@ -231,35 +243,37 @@ double ReducedModelOptimizer::objective(long n, const double *x) {
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// global.reducedToFullInterfaceViMap, true);
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// polyscope::removeAllStructures();
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// #endif // POLYSCOPE_DEFINED
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totalError += simulationScenarioError;
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totalError += simulationScenarioError * simulationScenarioError;
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}
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}
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// std::cout << error << std::endl;
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if (totalError < global.minY) {
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global.minY = totalError;
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global.minX.assign(x, x + n);
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global.minX.assign(x.begin(), x.begin() + n);
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}
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#ifdef POLYSCOPE_DEFINED
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++global.numberOfFunctionCalls;
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global.objectiveValueHistory.push_back(
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std::sqrt(totalError / global.simulationScenarioIndices.size()));
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if (global.optimizationSettings.numberOfFunctionCalls >= 100
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&& global.numberOfFunctionCalls % (global.optimizationSettings.numberOfFunctionCalls / 100)
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== 0) {
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std::cout << "Number of function calls:" << global.numberOfFunctionCalls << std::endl;
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auto xPlot = matplot::linspace(0,
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global.objectiveValueHistory.size(),
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global.objectiveValueHistory.size());
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// std::vector<double> colors(global.gObjectiveValueHistory.size(), 2);
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// if (global.g_firstRoundIterationIndex != 0) {
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// for_each(colors.begin() + g_firstRoundIterationIndex, colors.end(),
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// [](double &c) { c = 0.7; });
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// }
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global.gPlotHandle = matplot::scatter(xPlot, global.objectiveValueHistory);
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SimulationResultsReporter::createPlot("Number of Steps",
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"Objective value",
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global.objectiveValueHistory);
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}
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#endif
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// compute error and return it
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// global.objectiveValueHistory.push_back(totalError);
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// auto xPlot = matplot::linspace(0, global.objectiveValueHistory.size(),
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// global.objectiveValueHistory.size());
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// std::vector<double> colors(global.gObjectiveValueHistory.size(), 2);
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// if (global.g_firstRoundIterationIndex != 0) {
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// for_each(colors.begin() + g_firstRoundIterationIndex, colors.end(),
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// [](double &c) { c = 0.7; });
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// }
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// global.gPlotHandle = matplot::scatter(xPlot, global.objectiveValueHistory);
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// SimulationResultsReporter::createPlot("Number of Steps", "Objective value",
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// global.objectiveValueHistory);
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// compute error and return it
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return totalError;
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}
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@ -271,18 +285,19 @@ void ReducedModelOptimizer::createSimulationMeshes(
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std::cerr << "Error: A rectangular cross section is expected." << std::endl;
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terminate();
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}
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const double ym = 1 * 1e9;
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// Full pattern
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pFullPatternSimulationMesh = std::make_shared<SimulationMesh>(fullModel);
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pFullPatternSimulationMesh->setBeamCrossSection(
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CrossSectionType{0.002, 0.002});
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pFullPatternSimulationMesh->setBeamMaterial(0.3, 2.3465 * 1e9);
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pFullPatternSimulationMesh->setBeamMaterial(0.3, ym);
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// Reduced pattern
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pReducedPatternSimulationMesh =
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std::make_shared<SimulationMesh>(reducedModel);
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pReducedPatternSimulationMesh->setBeamCrossSection(
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CrossSectionType{0.002, 0.002});
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pReducedPatternSimulationMesh->setBeamMaterial(0.3, 2.3465 * 1e9);
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pReducedPatternSimulationMesh->setBeamMaterial(0.3, ym);
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}
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void ReducedModelOptimizer::createSimulationMeshes(
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@ -480,79 +495,141 @@ void ReducedModelOptimizer::initializePatterns(PatternGeometry &fullPattern,
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initializeOptimizationParameters(m_pFullPatternSimulationMesh, optimizationParameters);
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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.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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assert(n >= 2);
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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[n - 2]);
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CoordType movableVertex_barycentric(1 - x[n - 2], x[n - 2] / 2, x[n - 2] / 2);
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CoordType baseTriangleMovableVertexPosition = global.baseTriangle.cP(0)
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* movableVertex_barycentric[0]
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+ global.baseTriangle.cP(1)
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* movableVertex_barycentric[1]
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+ global.baseTriangle.cP(2)
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* movableVertex_barycentric[2];
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baseTriangleMovableVertexPosition
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= vcg::RotationMatrix(ReducedModelOptimizer::patternPlaneNormal, vcg::math::ToRad(x[n - 1]))
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* baseTriangleMovableVertexPosition;
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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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= vcg::RotationMatrix(ReducedModelOptimizer::patternPlaneNormal,
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vcg::math::ToRad(60.0 * rotationCounter))
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* baseTriangleMovableVertexPosition;
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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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// pReducedPatternSimulationMesh->registerForDrawing();
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// std::cout << "Angle:" + std::to_string(x[n - 1]) + " size:" + std::to_string(x[n - 2])
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// << std::endl;
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// std::cout << "Verts:" << pReducedPatternSimulationMesh->VN() << std::endl;
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// polyscope::show();
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//#endif
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}
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void ReducedModelOptimizer::initializeOptimizationParameters(
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const std::shared_ptr<SimulationMesh> &mesh,const int& optimizationParamters) {
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const std::shared_ptr<SimulationMesh> &mesh, const int &optimizationParamters)
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{
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global.numberOfOptimizationParameters = optimizationParamters;
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global.initialParameters.resize(global.numberOfOptimizationParameters);
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global.initialParameters(0) = mesh->elements[0].material.youngsModulus;
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global.initialParameters(1) = mesh->elements[0].A;
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global.initialParameters(2) = mesh->elements[0].J;
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global.initialParameters(3) = mesh->elements[0].I2;
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global.initialParameters(4) = mesh->elements[0].I3;
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switch (optimizationParamters) {
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case 2:
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function_updateReducedPattern_material =
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[](const dlib::matrix<double, 0, 1> &x,
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std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh) {};
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break;
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case 3:
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global.initialParameters(0) = mesh->elements[0].material.youngsModulus;
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function_updateReducedPattern_material =
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[&](const dlib::matrix<double, 0, 1> &x,
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std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh) {
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const double E = global.initialParameters(0) * x(0);
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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.setMaterial(ElementMaterial(e.material.poissonsRatio, E));
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}
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};
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break;
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case 4:
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global.initialParameters(0) = mesh->elements[0].material.youngsModulus;
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global.initialParameters(1) = mesh->elements[0].A;
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function_updateReducedPattern_material =
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[&](const dlib::matrix<double, 0, 1> &x,
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std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh) {
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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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for (EdgeIndex ei = 0; ei < pReducedPatternSimulationMesh->EN(); ei++) {
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Element &e = pReducedPatternSimulationMesh->elements[ei];
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e.setDimensions(RectangularBeamDimensions(beamWidth, beamHeight));
|
||||
e.setMaterial(ElementMaterial(e.material.poissonsRatio, E));
|
||||
}
|
||||
};
|
||||
break;
|
||||
case 5:
|
||||
global.initialParameters(0) = mesh->elements[0].material.youngsModulus;
|
||||
global.initialParameters(1) = mesh->elements[0].A;
|
||||
global.initialParameters(2) = mesh->elements[0].inertia.I2;
|
||||
function_updateReducedPattern_material =
|
||||
[&](const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh) {
|
||||
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 I = global.initialParameters(2) * x(2);
|
||||
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.inertia.I2 = I;
|
||||
e.inertia.I3 = I;
|
||||
}
|
||||
};
|
||||
break;
|
||||
case 7:
|
||||
global.initialParameters(0) = mesh->elements[0].material.youngsModulus;
|
||||
global.initialParameters(1) = mesh->elements[0].A;
|
||||
global.initialParameters(2) = mesh->elements[0].inertia.J;
|
||||
global.initialParameters(3) = mesh->elements[0].inertia.I2;
|
||||
global.initialParameters(4) = mesh->elements[0].inertia.I3;
|
||||
function_updateReducedPattern_material = [&](const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh>
|
||||
&pReducedPatternSimulationMesh) {
|
||||
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.inertia.J = J;
|
||||
e.inertia.I2 = I2;
|
||||
e.inertia.I3 = I3;
|
||||
}
|
||||
//#ifdef POLYSCOPE_DEFINED
|
||||
// pReducedPatternSimulationMesh->updateEigenEdgeAndVertices();
|
||||
// pReducedPatternSimulationMesh->registerForDrawing();
|
||||
// std::cout << "Angle:" + std::to_string(x[n - 1]) + " size:" + std::to_string(x[n - 2])
|
||||
// << std::endl;
|
||||
// std::cout << "Verts:" << pReducedPatternSimulationMesh->VN() << std::endl;
|
||||
// polyscope::show();
|
||||
//#endif
|
||||
};
|
||||
break;
|
||||
default:
|
||||
std::cerr << "Wrong number of parameters:" << optimizationParamters << std::endl;
|
||||
std::terminate();
|
||||
break;
|
||||
}
|
||||
|
||||
function_updateReducedPattern_geometry = [&](const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh>
|
||||
&pReducedPatternSimulationMesh) {
|
||||
const int n = x.size();
|
||||
assert(n >= 2);
|
||||
|
||||
// CoordType center_barycentric(1, 0, 0);
|
||||
// CoordType interfaceEdgeMiddle_barycentric(0, 0.5, 0.5);
|
||||
// CoordType movableVertex_barycentric((center_barycentric + interfaceEdgeMiddle_barycentric)
|
||||
// * x[n - 2]);
|
||||
|
||||
CoordType movableVertex_barycentric(1 - x(n - 2), x(n - 2) / 2, x(n - 2) / 2);
|
||||
CoordType baseTriangleMovableVertexPosition = global.baseTriangle.cP(0)
|
||||
* movableVertex_barycentric[0]
|
||||
+ global.baseTriangle.cP(1)
|
||||
* movableVertex_barycentric[1]
|
||||
+ global.baseTriangle.cP(2)
|
||||
* movableVertex_barycentric[2];
|
||||
baseTriangleMovableVertexPosition
|
||||
= vcg::RotationMatrix(ReducedModelOptimizer::patternPlaneNormal,
|
||||
vcg::math::ToRad(x(n - 1)))
|
||||
* baseTriangleMovableVertexPosition;
|
||||
|
||||
for (int rotationCounter = 0; rotationCounter < ReducedModelOptimizer::fanSize;
|
||||
rotationCounter++) {
|
||||
pReducedPatternSimulationMesh->vert[2 * rotationCounter].P()
|
||||
= vcg::RotationMatrix(ReducedModelOptimizer::patternPlaneNormal,
|
||||
vcg::math::ToRad(60.0 * rotationCounter))
|
||||
* baseTriangleMovableVertexPosition;
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
void ReducedModelOptimizer::computeReducedModelSimulationJob(
|
||||
|
@ -715,7 +792,7 @@ void ReducedModelOptimizer::getResults(const dlib::function_evaluation &optimiza
|
|||
results.optimalXNameValuePairs.resize(settings.xRanges.size());
|
||||
std::vector<double> optimalX(settings.xRanges.size());
|
||||
for (int xVariableIndex = 0; xVariableIndex < settings.xRanges.size(); xVariableIndex++) {
|
||||
if (xVariableIndex < 5) {
|
||||
if (xVariableIndex < settings.xRanges.size() - 2) {
|
||||
results.optimalXNameValuePairs[xVariableIndex]
|
||||
= std::make_pair(settings.xRanges[xVariableIndex].label,
|
||||
global.minX[xVariableIndex]
|
||||
|
@ -739,7 +816,10 @@ void ReducedModelOptimizer::getResults(const dlib::function_evaluation &optimiza
|
|||
#endif
|
||||
|
||||
// Compute obj value per simulation scenario and the raw objective value
|
||||
updateMesh(optimalX.size(), optimalX.data());
|
||||
// updateMeshFunction(optimalX);
|
||||
std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh
|
||||
= global.reducedPatternSimulationJobs[global.simulationScenarioIndices[0]]->pMesh;
|
||||
function_updateReducedPattern(optimizationResult_dlib.x, pReducedPatternSimulationMesh);
|
||||
// results.objectiveValue.totalPerSimulationScenario.resize(totalNumberOfSimulationScenarios);
|
||||
//TODO:use push_back it will make the code more readable
|
||||
LinearSimulationModel simulator;
|
||||
|
@ -754,6 +834,10 @@ void ReducedModelOptimizer::getResults(const dlib::function_evaluation &optimiza
|
|||
global.simulationScenarioIndices.size());
|
||||
results.objectiveValue.perSimulationScenario_total.resize(
|
||||
global.simulationScenarioIndices.size());
|
||||
#ifdef POLYSCOPE_DEFINED
|
||||
global.pFullPatternSimulationMesh->registerForDrawing(Colors::fullDeformed);
|
||||
#endif
|
||||
|
||||
results.perScenario_fullPatternPotentialEnergy.resize(global.simulationScenarioIndices.size());
|
||||
for (int i = 0; i < global.simulationScenarioIndices.size(); i++) {
|
||||
const int simulationScenarioIndex = global.simulationScenarioIndices[i];
|
||||
|
@ -828,17 +912,14 @@ void ReducedModelOptimizer::getResults(const dlib::function_evaluation &optimiza
|
|||
std::cout << "Total Error value:" << results.objectiveValue.perSimulationScenario_total[i]
|
||||
<< std::endl;
|
||||
std::cout << std::endl;
|
||||
#endif
|
||||
}
|
||||
|
||||
const bool printDebugInfo = false;
|
||||
if (printDebugInfo) {
|
||||
std::cout << "Finished optimizing." << endl;
|
||||
std::cout << "Total optimal objective value:" << results.objectiveValue.total << std::endl;
|
||||
assert(global.minY == optimizationResult_dlib.y);
|
||||
if (global.minY != optimizationResult_dlib.y) {
|
||||
std::cerr << "ERROR in objective value" << std::endl;
|
||||
}
|
||||
// reducedModelResults.registerForDrawing(Colors::reducedDeformed);
|
||||
// global.fullPatternResults[simulationScenarioIndex].registerForDrawing(Colors::fullDeformed);
|
||||
// polyscope::show();
|
||||
// reducedModelResults.unregister();
|
||||
// global.fullPatternResults[simulationScenarioIndex].unregister();
|
||||
|
||||
#endif
|
||||
}
|
||||
|
||||
for (int simulationScenarioIndex : global.simulationScenarioIndices) {
|
||||
|
@ -852,6 +933,7 @@ void ReducedModelOptimizer::getResults(const dlib::function_evaluation &optimiza
|
|||
// global.reducedPatternSimulationJobs[simulationScenarioIndex]->pMesh->registerForDrawing();
|
||||
// global.reducedPatternSimulationJobs[simulationScenarioIndex]->pMesh->setLabel(temp);
|
||||
}
|
||||
// results.draw();
|
||||
}
|
||||
|
||||
std::vector<std::pair<BaseSimulationScenario, double>>
|
||||
|
@ -890,10 +972,15 @@ ReducedModelOptimizer::getFullPatternMaxSimulationForces(
|
|||
fullPatternSimulationScenarioMaxMagnitudes
|
||||
= static_cast<std::vector<std::pair<BaseSimulationScenario, double>>>(
|
||||
json.at("maxMagn"));
|
||||
} else {
|
||||
const bool shouldRecompute = fullPatternSimulationScenarioMaxMagnitudes.size()
|
||||
!= desiredBaseSimulationScenarioIndices.size();
|
||||
if (!shouldRecompute) {
|
||||
return fullPatternSimulationScenarioMaxMagnitudes;
|
||||
}
|
||||
}
|
||||
#endif
|
||||
fullPatternSimulationScenarioMaxMagnitudes = computeFullPatternMaxSimulationForces(
|
||||
desiredBaseSimulationScenarioIndices);
|
||||
fullPatternSimulationScenarioMaxMagnitudes = computeFullPatternMaxSimulationForces(
|
||||
desiredBaseSimulationScenarioIndices);
|
||||
|
||||
#ifdef POLYSCOPE_DEFINED
|
||||
nlohmann::json json;
|
||||
|
@ -902,34 +989,110 @@ ReducedModelOptimizer::getFullPatternMaxSimulationForces(
|
|||
std::filesystem::create_directories(forceMagnitudesDirectoryPath);
|
||||
std::ofstream jsonFile(patternMaxForceMagnitudesFilePath.string());
|
||||
jsonFile << json;
|
||||
}
|
||||
#endif
|
||||
assert(fullPatternSimulationScenarioMaxMagnitudes.size()
|
||||
== desiredBaseSimulationScenarioIndices.size());
|
||||
|
||||
return fullPatternSimulationScenarioMaxMagnitudes;
|
||||
#endif
|
||||
assert(fullPatternSimulationScenarioMaxMagnitudes.size()
|
||||
== desiredBaseSimulationScenarioIndices.size());
|
||||
|
||||
return fullPatternSimulationScenarioMaxMagnitudes;
|
||||
}
|
||||
|
||||
void ReducedModelOptimizer::runOptimization(const Settings &settings,
|
||||
ReducedPatternOptimization::Results &results)
|
||||
{
|
||||
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++) {
|
||||
xMin(i) = settings.xRanges[i].min;
|
||||
xMax(i) = settings.xRanges[i].max;
|
||||
double (*objF)(const dlib::matrix<double, 0, 1> &) = &objective;
|
||||
|
||||
//Geometry optimization of the reduced pattern
|
||||
constexpr int numberOfGeometryOptimizationParameters = 2;
|
||||
dlib::matrix<double, 0, 1> xGeometryMin(numberOfGeometryOptimizationParameters);
|
||||
dlib::matrix<double, 0, 1> xGeometryMax(numberOfGeometryOptimizationParameters);
|
||||
const int geometryParametersOffset
|
||||
= global.numberOfOptimizationParameters
|
||||
- numberOfGeometryOptimizationParameters; //I assume the geometry parameters come at the end
|
||||
int paramIndex = 0;
|
||||
for (int i = geometryParametersOffset; i < global.numberOfOptimizationParameters;
|
||||
i++, paramIndex++) {
|
||||
xGeometryMin(paramIndex) = settings.xRanges[i].min;
|
||||
xGeometryMax(paramIndex) = settings.xRanges[i].max;
|
||||
}
|
||||
|
||||
dlib::function_evaluation result_dlib;
|
||||
double (*objF)(double, double, double, double, double,double,double) = &objective;
|
||||
result_dlib = dlib::find_min_global(objF,
|
||||
xMin,
|
||||
xMax,
|
||||
dlib::max_function_calls(settings.numberOfFunctionCalls),
|
||||
std::chrono::hours(24 * 365 * 290),
|
||||
settings.solverAccuracy);
|
||||
getResults(result_dlib, settings, results);
|
||||
//Set reduced pattern update functions to be used during optimization
|
||||
function_updateReducedPattern =
|
||||
[&](const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh) {
|
||||
function_updateReducedPattern_geometry(x, pReducedPatternSimulationMesh);
|
||||
pReducedPatternSimulationMesh->reset();
|
||||
};
|
||||
|
||||
dlib::function_evaluation result_dlib_geometry
|
||||
= dlib::find_min_global(objF,
|
||||
xGeometryMin,
|
||||
xGeometryMax,
|
||||
dlib::max_function_calls(settings.numberOfFunctionCalls),
|
||||
std::chrono::hours(24 * 365 * 290),
|
||||
settings.solverAccuracy);
|
||||
//Material optimization of the reduced pattern
|
||||
const int numberOfMaterialOptimizationParameters = global.numberOfOptimizationParameters
|
||||
- numberOfGeometryOptimizationParameters;
|
||||
std::cout << "opt size:" << result_dlib_geometry.x(0) << std::endl;
|
||||
std::cout << "opt size:" << global.minX[0] << std::endl;
|
||||
dlib::function_evaluation result_dlib_material;
|
||||
if (numberOfMaterialOptimizationParameters != 0) {
|
||||
dlib::matrix<double, 0, 1> xMaterialMin(numberOfMaterialOptimizationParameters);
|
||||
dlib::matrix<double, 0, 1> xMaterialMax(numberOfMaterialOptimizationParameters);
|
||||
for (int i = 0; i < numberOfMaterialOptimizationParameters; i++) {
|
||||
xMaterialMin(i) = settings.xRanges[i].min;
|
||||
xMaterialMax(i) = settings.xRanges[i].max;
|
||||
}
|
||||
function_updateReducedPattern =
|
||||
[&](const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh) {
|
||||
function_updateReducedPattern_material(x, pReducedPatternSimulationMesh);
|
||||
pReducedPatternSimulationMesh->reset();
|
||||
};
|
||||
result_dlib_material = dlib::find_min_global(objF,
|
||||
xMaterialMin,
|
||||
xMaterialMax,
|
||||
dlib::max_function_calls(
|
||||
settings.numberOfFunctionCalls),
|
||||
std::chrono::hours(24 * 365 * 290),
|
||||
settings.solverAccuracy);
|
||||
}
|
||||
// constexpr bool useBOBYQA = false;
|
||||
// if (useBOBYQA) {
|
||||
// const size_t npt = 2 * global.numberOfOptimizationParameters;
|
||||
// // ((n + 2) + ((n + 1) * (n + 2) / 2)) / 2;
|
||||
// const double rhobeg = 0.1;
|
||||
// // const double rhobeg = 10;
|
||||
// const double rhoend = rhobeg * 1e-6;
|
||||
// // const size_t maxFun = 10 * (x.size() ^ 2);
|
||||
// const size_t bobyqa_maxFunctionCalls = 200;
|
||||
// dlib::find_min_bobyqa(objF,
|
||||
// result_dlib.x,
|
||||
// npt,
|
||||
// xMaterialMin,
|
||||
// xMaterialMax,
|
||||
// rhobeg,
|
||||
// rhoend,
|
||||
// bobyqa_maxFunctionCalls);
|
||||
// }
|
||||
|
||||
dlib::function_evaluation optimalResult;
|
||||
optimalResult.x.set_size(global.numberOfOptimizationParameters);
|
||||
std::copy(result_dlib_material.x.begin(), result_dlib_material.x.end(), optimalResult.x.begin());
|
||||
std::copy(result_dlib_geometry.x.begin(),
|
||||
result_dlib_geometry.x.end(),
|
||||
optimalResult.x.begin() + geometryParametersOffset);
|
||||
function_updateReducedPattern =
|
||||
[&](const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh) {
|
||||
function_updateReducedPattern_material(x, pReducedPatternSimulationMesh);
|
||||
function_updateReducedPattern_geometry(x, pReducedPatternSimulationMesh);
|
||||
pReducedPatternSimulationMesh->reset();
|
||||
};
|
||||
optimalResult.y = objective(optimalResult.x);
|
||||
getResults(optimalResult, settings, results);
|
||||
}
|
||||
|
||||
void ReducedModelOptimizer::constructAxialSimulationScenario(
|
||||
|
@ -1186,7 +1349,6 @@ double ReducedModelOptimizer::computeFullPatternMaxSimulationForce(
|
|||
{
|
||||
double forceMagnitude = 1;
|
||||
double minimumError;
|
||||
double translationalOptimizationEpsilon;
|
||||
bool wasSuccessful = false;
|
||||
global.constructScenarioFunction = constructBaseScenarioFunctions[scenario];
|
||||
const double baseTriangleHeight = vcg::Distance(global.baseTriangle.cP(0),
|
||||
|
@ -1194,6 +1356,7 @@ double ReducedModelOptimizer::computeFullPatternMaxSimulationForce(
|
|||
+ global.baseTriangle.cP(2))
|
||||
/ 2);
|
||||
std::function<double(const double &)> objectiveFunction;
|
||||
double translationalOptimizationEpsilon{baseTriangleHeight * 0.001};
|
||||
double objectiveEpsilon = translationalOptimizationEpsilon;
|
||||
objectiveFunction = &fullPatternMaxSimulationForceTranslationalObjective;
|
||||
global.interfaceViForComputingScenarioError = global.fullPatternInterfaceViPairs[1].first;
|
||||
|
@ -1359,12 +1522,13 @@ void ReducedModelOptimizer::computeObjectiveValueNormalizationFactors() {
|
|||
for (int simulationScenarioIndex : global.simulationScenarioIndices) {
|
||||
if (global.optimizationSettings.normalizationStrategy ==
|
||||
Settings::NormalizationStrategy::Epsilon) {
|
||||
const double epsilon_translationalDisplacement = global.optimizationSettings
|
||||
.normalizationParameter;
|
||||
const double epsilon_translationalDisplacement
|
||||
= global.optimizationSettings.translationNormalizationParameter;
|
||||
global.translationalDisplacementNormalizationValues[simulationScenarioIndex]
|
||||
= std::max(fullPatternTranslationalDisplacementNormSum[simulationScenarioIndex],
|
||||
epsilon_translationalDisplacement);
|
||||
const double epsilon_rotationalDisplacement = vcg::math::ToRad(3.0);
|
||||
const double epsilon_rotationalDisplacement = global.optimizationSettings
|
||||
.rotationNormalizationParameter;
|
||||
global.rotationalDisplacementNormalizationValues[simulationScenarioIndex]
|
||||
= std::max(fullPatternAngularDistance[simulationScenarioIndex],
|
||||
epsilon_rotationalDisplacement);
|
||||
|
@ -1415,10 +1579,11 @@ void ReducedModelOptimizer::optimize(
|
|||
results.baseTriangle = global.baseTriangle;
|
||||
|
||||
DRMSimulationModel::Settings simulationSettings;
|
||||
simulationSettings.maxDRMIterations = 200000;
|
||||
simulationSettings.totalTranslationalKineticEnergyThreshold = 1e-8;
|
||||
simulationSettings.viscousDampingFactor = 5e-3;
|
||||
simulationSettings.useKineticDamping = true;
|
||||
// simulationSettings.maxDRMIterations = 200000;
|
||||
// simulationSettings.totalTranslationalKineticEnergyThreshold = 1e-8;
|
||||
// simulationSettings.viscousDampingFactor = 5e-3;
|
||||
// simulationSettings.useKineticDamping = true;
|
||||
|
||||
// simulationSettings.averageResidualForcesCriterionThreshold = 1e-5;
|
||||
// simulationSettings.viscousDampingFactor = 1e-3;
|
||||
// simulationSettings.beVerbose = true;
|
||||
|
@ -1426,7 +1591,7 @@ void ReducedModelOptimizer::optimize(
|
|||
// simulationSettings.isDebugMode = true;
|
||||
// simulationSettings.debugModeStep = 100000;
|
||||
#ifdef POLYSCOPE_DEFINED
|
||||
const bool drawFullPatternSimulationResults = false;
|
||||
constexpr bool drawFullPatternSimulationResults = false;
|
||||
if (drawFullPatternSimulationResults) {
|
||||
global.fullPatternSimulationJobs[0]->pMesh->registerForDrawing(
|
||||
ReducedPatternOptimization::Colors::fullInitial);
|
||||
|
|
|
@ -177,6 +177,18 @@ public:
|
|||
const std::vector<std::pair<FullPatternVertexIndex, FullPatternVertexIndex>>
|
||||
&oppositeInterfaceViPairs,
|
||||
SimulationJob &job);
|
||||
static std::function<void(const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh> &m)>
|
||||
function_updateReducedPattern;
|
||||
static std::function<void(const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh> &m)>
|
||||
function_updateReducedPattern_material;
|
||||
static std::function<void(const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh> &m)>
|
||||
function_updateReducedPattern_material_E;
|
||||
static std::function<void(const dlib::matrix<double, 0, 1> &x,
|
||||
std::shared_ptr<SimulationMesh> &m)>
|
||||
function_updateReducedPattern_geometry;
|
||||
|
||||
private:
|
||||
static void computeDesiredReducedModelDisplacements(
|
||||
|
@ -211,6 +223,13 @@ private:
|
|||
getFullPatternMaxSimulationForces(
|
||||
const std::vector<ReducedPatternOptimization::BaseSimulationScenario>
|
||||
&desiredBaseSimulationScenarioIndices);
|
||||
static double objective(const dlib::matrix<double, 0, 1> &x);
|
||||
};
|
||||
void updateMesh(long n, const double *x);
|
||||
inline std::function<void(const dlib::matrix<double, 0, 1> &x, std::shared_ptr<SimulationMesh> &m)>
|
||||
ReducedModelOptimizer::function_updateReducedPattern;
|
||||
inline std::function<void(const dlib::matrix<double, 0, 1> &x, std::shared_ptr<SimulationMesh> &m)>
|
||||
ReducedModelOptimizer::function_updateReducedPattern_material;
|
||||
inline std::function<void(const dlib::matrix<double, 0, 1> &x, std::shared_ptr<SimulationMesh> &m)>
|
||||
ReducedModelOptimizer::function_updateReducedPattern_geometry;
|
||||
|
||||
#endif // REDUCEDMODELOPTIMIZER_HPP
|
||||
|
|
Loading…
Reference in New Issue