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// Gmsh - Copyright (C) 1997-2021 C. Geuzaine, J.-F. Remacle
//
// See the LICENSE.txt file for license information. Please report all
// issues on https://gitlab.onelab.info/gmsh/gmsh/issues.
#include "Eigenvectors.h"
#include "Numeric.h"
#include "fullMatrix.h"
#include "GmshDefines.h"
StringXNumber EigenvectorsOptions_Number[] = {
{GMSH_FULLRC, "ScaleByEigenvalues", nullptr, 1.},
{GMSH_FULLRC, "View", nullptr, -1.}};
extern "C" {
GMSH_Plugin *GMSH_RegisterEigenvectorsPlugin()
{
return new GMSH_EigenvectorsPlugin();
}
}
std::string GMSH_EigenvectorsPlugin::getHelp() const
{
return "Plugin(Eigenvectors) computes the three (right) "
"eigenvectors of each tensor in the view `View' "
"and sorts them according to the value of the "
"associated eigenvalues.\n\n"
"If `ScaleByEigenvalues' is set, each eigenvector is "
"scaled by its associated eigenvalue. The plugin "
"gives an error if the eigenvectors are complex.\n\n"
"If `View' < 0, the plugin is run on the current view.\n\n"
"Plugin(Eigenvectors) creates three new list-based vector view.";
}
int GMSH_EigenvectorsPlugin::getNbOptions() const
{
return sizeof(EigenvectorsOptions_Number) / sizeof(StringXNumber);
}
StringXNumber *GMSH_EigenvectorsPlugin::getOption(int iopt)
{
return &EigenvectorsOptions_Number[iopt];
}
PView *GMSH_EigenvectorsPlugin::execute(PView *v)
{
int scale = (int)EigenvectorsOptions_Number[0].def;
int iView = (int)EigenvectorsOptions_Number[1].def;
PView *v1 = getView(iView, v);
if(!v1) return v;
PViewData *data1 = getPossiblyAdaptiveData(v1);
if(data1->hasMultipleMeshes()) {
Msg::Error("Eigenvectors plugin cannot be run on multi-mesh views");
return v;
}
PView *min = new PView();
PView *mid = new PView();
PView *max = new PView();
PViewDataList *dmin = getDataList(min);
PViewDataList *dmid = getDataList(mid);
PViewDataList *dmax = getDataList(max);
int nbcomplex = 0;
fullMatrix<double> mat(3, 3), vl(3, 3), vr(3, 3);
fullVector<double> dr(3), di(3);
for(int ent = 0; ent < data1->getNumEntities(0); ent++) {
for(int ele = 0; ele < data1->getNumElements(0, ent); ele++) {
if(data1->skipElement(0, ent, ele)) continue;
int numComp = data1->getNumComponents(0, ent, ele);
if(numComp != 9) continue;
int type = data1->getType(0, ent, ele);
int numNodes = data1->getNumNodes(0, ent, ele);
std::vector<double> *outmin = dmin->incrementList(3, type, numNodes);
std::vector<double> *outmid = dmid->incrementList(3, type, numNodes);
std::vector<double> *outmax = dmax->incrementList(3, type, numNodes);
if(!outmin || !outmid || !outmax) continue;
double xyz[3][8];
for(int nod = 0; nod < numNodes; nod++)
data1->getNode(0, ent, ele, nod, xyz[0][nod], xyz[1][nod], xyz[2][nod]);
for(int i = 0; i < 3; i++) {
for(int nod = 0; nod < numNodes; nod++) {
outmin->push_back(xyz[i][nod]);
outmid->push_back(xyz[i][nod]);
outmax->push_back(xyz[i][nod]);
}
}
for(int step = 0; step < data1->getNumTimeSteps(); step++) {
for(int nod = 0; nod < numNodes; nod++) {
for(int i = 0; i < 3; i++)
for(int j = 0; j < 3; j++)
data1->getValue(step, ent, ele, nod, 3 * i + j, mat(i, j));
if(mat.eig(dr, di, vl, vr, true)) {
if(!scale) dr(0) = dr(1) = dr(2) = 1.;
for(int i = 0; i < 3; i++) {
double res;
res = dr(0) * vr(i, 0);
outmin->push_back(res);
res = dr(1) * vr(i, 1);
outmid->push_back(res);
res = dr(2) * vr(i, 2);
outmax->push_back(res);
}
if(di(0) || di(1) || di(2)) nbcomplex++;
}
else {
Msg::Error("Could not compute eigenvalues/vectors");
}
}
}
}
}
if(nbcomplex) Msg::Error("%d tensors have complex eigenvalues", nbcomplex);
for(int i = 0; i < data1->getNumTimeSteps(); i++) {
double time = data1->getTime(i);
dmin->Time.push_back(time);
dmid->Time.push_back(time);
dmax->Time.push_back(time);
}
dmin->setName(data1->getName() + "_MinEigenvectors");
dmin->setFileName(data1->getName() + "_MinEigenvectors.pos");
dmin->finalize();
dmid->setName(data1->getName() + "_MidEigenvectors");
dmid->setFileName(data1->getName() + "_MidEigenvectors.pos");
dmid->finalize();
dmax->setName(data1->getName() + "_MaxEigenvectors");
dmax->setFileName(data1->getName() + "_MaxEigenvectors.pos");
dmax->finalize();
return nullptr;
}
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