v0.10.0
EshelbianOperators.cpp

Implementation of operators

/**
* \file EshelbianOperators.cpp
* \example EshelbianOperators.cpp
*
* \brief Implementation of operators
*/
#include <MoFEM.hpp>
using namespace MoFEM;
#include <BasicFiniteElements.hpp>
#include <boost/math/constants/constants.hpp>
#include <lapack_wrap.h>
double f(const double v) { return exp(v); }
double d_f(const double v) { return exp(v); }
double dd_f(const double v) { return exp(v); }
template <class T> struct TensorTypeExtractor {
typedef typename std::remove_pointer<T>::type Type;
};
template <class T, int I> struct TensorTypeExtractor<FTensor::PackPtr<T, I>> {
typedef typename std::remove_pointer<T>::type Type;
};
template <typename T>
&t_omega) {
constexpr auto t_kd = FTensor::Kronecker_Delta<int>();
t_R(i, j) = t_kd(i, j);
const typename TensorTypeExtractor<T>::Type angle =
sqrt(t_omega(i) * t_omega(i));
constexpr double tol = 1e-18;
if (std::abs(angle) < tol) {
return t_R;
}
t_Omega(i, j) = FTensor::levi_civita<double>(i, j, k) * t_omega(k);
const typename TensorTypeExtractor<T>::Type a = sin(angle) / angle;
const typename TensorTypeExtractor<T>::Type ss_2 = sin(angle / 2.);
const typename TensorTypeExtractor<T>::Type b =
2. * ss_2 * ss_2 / (angle * angle);
t_R(i, j) += a * t_Omega(i, j);
t_R(i, j) += b * t_Omega(i, k) * t_Omega(k, j);
return t_R;
}
template <typename T>
&t_omega) {
const typename TensorTypeExtractor<T>::Type angle =
sqrt(t_omega(i) * t_omega(i));
constexpr double tol = 1e-18;
if (std::abs(angle) < tol) {
auto t_R = get_rotation_form_vector(t_omega);
t_diff_R(i, j, k) = FTensor::levi_civita<double>(i, l, k) * t_R(l, j);
return t_diff_R;
}
t_Omega(i, j) = FTensor::levi_civita<double>(i, j, k) * t_omega(k);
const typename TensorTypeExtractor<T>::Type angle2 = angle * angle;
const typename TensorTypeExtractor<T>::Type ss = sin(angle);
const typename TensorTypeExtractor<T>::Type a = ss / angle;
const typename TensorTypeExtractor<T>::Type ss_2 = sin(angle / 2.);
const typename TensorTypeExtractor<T>::Type b = 2. * ss_2 * ss_2 / angle2;
t_diff_R(i, j, k) = 0;
t_diff_R(i, j, k) = a * FTensor::levi_civita<double>(i, j, k);
t_diff_R(i, j, k) +=
b * (t_Omega(i, l) * FTensor::levi_civita<double>(l, j, k) +
FTensor::levi_civita<double>(i, l, k) * t_Omega(l, j));
const typename TensorTypeExtractor<T>::Type cc = cos(angle);
const typename TensorTypeExtractor<T>::Type cc_2 = cos(angle / 2.);
const typename TensorTypeExtractor<T>::Type diff_a =
(angle * cc - ss) / angle2;
const typename TensorTypeExtractor<T>::Type diff_b =
(2. * angle * ss_2 * cc_2 - 4. * ss_2 * ss_2) / (angle2 * angle);
t_diff_R(i, j, k) += diff_a * t_Omega(i, j) * (t_omega(k) / angle);
t_diff_R(i, j, k) +=
diff_b * t_Omega(i, l) * t_Omega(l, j) * (t_omega(k) / angle);
return t_diff_R;
}
template <typename T1, typename T2, typename T3>
T3 &eig_vec) {
for (int ii = 0; ii != 3; ii++)
for (int jj = 0; jj != 3; jj++)
eig_vec(ii, jj) = X(ii, jj);
int n = 3;
int lda = 3;
int lwork = (3 + 2) * 3;
std::array<double, (3 + 2) * 3> work;
if (lapack_dsyev('V', 'U', n, &(eig_vec(0, 0)), lda, &eig(0), work.data(),
lwork) > 0)
SETERRQ(PETSC_COMM_SELF, MOFEM_INVALID_DATA,
"The algorithm failed to compute eigenvalues.");
}
inline bool is_eq(const double &a, const double &b) {
constexpr double eps = 1e-8;
return abs(a - b) < eps;
}
template <typename T> inline int get_uniq_nb(T &ec) {
return distance(&ec(0), unique(&ec(0), &ec(0) + 3, is_eq));
}
template <typename T1, typename T2>
void sort_eigen_vals(T1 &eig, T2 &eigen_vec) {
if (is_eq(eig(0), eig(1))) {
eigen_vec(0, 0), eigen_vec(0, 1), eigen_vec(0, 2),
eigen_vec(2, 0), eigen_vec(2, 1), eigen_vec(2, 2),
eigen_vec(1, 0), eigen_vec(1, 1), eigen_vec(1, 2)};
FTensor::Tensor1<double, 3> eig_c{eig(0), eig(2), eig(1)};
eig(i) = eig_c(i);
eigen_vec(i, j) = eigen_vec_c(i, j);
} else {
eigen_vec(1, 0), eigen_vec(1, 1), eigen_vec(1, 2),
eigen_vec(0, 0), eigen_vec(0, 1), eigen_vec(0, 2),
eigen_vec(2, 0), eigen_vec(2, 1), eigen_vec(2, 2)};
FTensor::Tensor1<double, 3> eig_c{eig(1), eig(0), eig(2)};
eig(i) = eig_c(i);
eigen_vec(i, j) = eigen_vec_c(i, j);
}
}
MoFEMErrorCode OpCalculateRotationAndSpatialGradient::doWork(int side,
EntityType type,
EntData &data) {
if (type != MBTET)
int nb_integration_pts = data.getN().size1();
dataAtPts->hAtPts.resize(9, nb_integration_pts, false);
dataAtPts->rotMatAtPts.resize(9, nb_integration_pts, false);
dataAtPts->diffRotMatAtPts.resize(27, nb_integration_pts, false);
dataAtPts->streachTensorAtPts.resize(6, nb_integration_pts, false);
dataAtPts->diffStreachTensorAtPts.resize(36, nb_integration_pts, false);
dataAtPts->eigenVals.resize(3, nb_integration_pts, false);
dataAtPts->eigenVecs.resize(9, nb_integration_pts, false);
dataAtPts->nbUniq.resize(nb_integration_pts, false);
auto t_h = getFTensor2FromMat<3, 3>(dataAtPts->hAtPts);
auto t_omega = getFTensor1FromMat<3>(dataAtPts->rotAxisAtPts);
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_diff_R = getFTensor3FromMat(dataAtPts->diffRotMatAtPts);
auto t_log_u =
getFTensor2SymmetricFromMat<3>(dataAtPts->logStreachTensorAtPts);
auto t_u = getFTensor2SymmetricFromMat<3>(dataAtPts->streachTensorAtPts);
auto t_diff_u =
getFTensor4DdgFromMat<3, 3, 1>(dataAtPts->diffStreachTensorAtPts);
auto t_eigen_vals = getFTensor1FromMat<3>(dataAtPts->eigenVals);
auto t_eigen_vecs = getFTensor2FromMat<3, 3>(dataAtPts->eigenVecs);
auto &nbUniq = dataAtPts->nbUniq;
for (int gg = 0; gg != nb_integration_pts; ++gg) {
auto t0_diff = get_diff_rotation_form_vector(t_omega);
auto t0 = get_rotation_form_vector(t_omega);
t_diff_R(i, j, k) = t0_diff(i, j, k);
t_R(i, j) = t0(i, j);
CHKERR get_eigen_val_and_proj_lapack(t_log_u, eig, eigen_vec);
t_eigen_vals(i) = eig(i);
t_eigen_vecs(i, j) = eigen_vec(i, j);
// rare case when two eigen values are equal
nbUniq[gg] = get_uniq_nb(eig);
if (nbUniq[gg] == 2)
sort_eigen_vals(eig, eigen_vec);
auto t_u_tmp = EigenMatrix::getMat(t_eigen_vals, t_eigen_vecs, f);
auto t_diff_u_tmp =
EigenMatrix::getDiffMat(t_eigen_vals, t_eigen_vecs, f, d_f, nbUniq[gg]);
for (int ii = 0; ii != 3; ++ii) {
for (int jj = ii; jj != 3; ++jj) {
for (int kk = 0; kk != 3; ++kk) {
for (int ll = 0; ll < kk; ++ll) {
t_diff_u_tmp(ii, jj, kk, ll) *= 2;
}
}
}
}
t_u(i, j) = t_u_tmp(i, j);
t_diff_u(i, j, k, l) = t_diff_u_tmp(i, j, k, l);
t_h(i, j) = t_R(i, k) * t_u(k, j);
++t_h;
++t_R;
++t_diff_R;
++t_log_u;
++t_u;
++t_diff_u;
++t_eigen_vals;
++t_eigen_vecs;
++t_omega;
}
}
MoFEMErrorCode OpSpatialEquilibrium::integrate(EntData &data) {
int nb_dofs = data.getIndices().size();
int nb_integration_pts = data.getN().size1();
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_div_P = getFTensor1FromMat<3>(dataAtPts->divPAtPts);
auto t_s_dot_w = getFTensor1FromMat<3>(dataAtPts->wDotAtPts);
if (dataAtPts->wDotDotAtPts.size1() == 0 &&
dataAtPts->wDotDotAtPts.size2() != nb_integration_pts) {
dataAtPts->wDotDotAtPts.resize(3, nb_integration_pts);
dataAtPts->wDotDotAtPts.clear();
}
auto t_s_dot_dot_w = getFTensor1FromMat<3>(dataAtPts->wDotDotAtPts);
int nb_base_functions = data.getN().size2();
auto t_row_base_fun = data.getFTensor0N();
auto get_ftensor1 = [](auto &v) {
&v[2]);
};
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
auto t_nf = get_ftensor1(nF);
int bb = 0;
for (; bb != nb_dofs / 3; ++bb) {
t_nf(i) += a * t_row_base_fun * t_div_P(i);
t_nf(i) -= a * t_row_base_fun * alphaW * t_s_dot_w(i);
t_nf(i) -= a * t_row_base_fun * alphaRho * t_s_dot_dot_w(i);
++t_nf;
++t_row_base_fun;
}
for (; bb != nb_base_functions; ++bb)
++t_row_base_fun;
++t_w;
++t_div_P;
++t_s_dot_w;
++t_s_dot_dot_w;
}
}
MoFEMErrorCode OpSpatialRotation::integrate(EntData &data) {
int nb_dofs = data.getIndices().size();
int nb_integration_pts = data.getN().size1();
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_approx_P = getFTensor2FromMat<3, 3>(dataAtPts->approxPAtPts);
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
int nb_base_functions = data.getN().size2();
auto t_row_base_fun = data.getFTensor0N();
auto get_ftensor1 = [](auto &v) {
&v[2]);
};
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
auto t_nf = get_ftensor1(nF);
t_PRT(i, m) = t_approx_P(i, j) * t_R(m, j);
t_leviPRT(k) = levi_civita(i, m, k) * t_PRT(i, m);
int bb = 0;
for (; bb != nb_dofs / 3; ++bb) {
t_nf(k) += a * t_row_base_fun * t_leviPRT(k);
++t_nf;
++t_row_base_fun;
}
for (; bb != nb_base_functions; ++bb)
++t_row_base_fun;
++t_w;
++t_approx_P;
++t_R;
}
}
MoFEMErrorCode OpSpatialPhysical::integrate(EntData &data) {
int nb_dofs = data.getIndices().size();
int nb_integration_pts = data.getN().size1();
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_approx_P = getFTensor2FromMat<3, 3>(dataAtPts->approxPAtPts);
auto t_P = getFTensor2FromMat<3, 3>(dataAtPts->PAtPts);
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_dot_log_u =
getFTensor2SymmetricFromMat<3>(dataAtPts->logStreachDotTensorAtPts);
auto t_diff_u =
getFTensor4DdgFromMat<3, 3, 1>(dataAtPts->diffStreachTensorAtPts);
auto get_ftensor2 = [](auto &v) {
&v[0], &v[1], &v[2], &v[3], &v[4], &v[5]);
};
int nb_base_functions = data.getN().size2();
auto t_row_base_fun = data.getFTensor0N();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
auto t_nf = get_ftensor2(nF);
t_RTP(i, j) = t_R(k, i) * t_approx_P(k, j);
t_deltaP(i, j) = t_RTP(i, j) - t_P(i, j);
t_viscous_stress(i, j) = alphaU * t_dot_log_u(i, j);
t1(i, j) =
a * (t_diff_u(k, l, i, j) * (t_deltaP(k, l) - t_viscous_stress(k, l)));
int bb = 0;
for (; bb != nb_dofs / 6; ++bb) {
t_nf(i, j) += t_row_base_fun * t1(i, j);
++t_nf;
++t_row_base_fun;
}
for (; bb != nb_base_functions; ++bb)
++t_row_base_fun;
++t_w;
++t_approx_P;
++t_P;
++t_R;
++t_dot_log_u;
++t_diff_u;
}
}
MoFEMErrorCode OpSpatialConsistencyP::integrate(EntData &data) {
int nb_dofs = data.getIndices().size();
int nb_integration_pts = data.getN().size1();
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_u = getFTensor2SymmetricFromMat<3>(dataAtPts->streachTensorAtPts);
auto t_omega_dot = getFTensor1FromMat<3>(dataAtPts->rotAxisDotAtPts);
int nb_base_functions = data.getN().size2() / 3;
auto t_row_base_fun = data.getFTensor1N<3>();
auto get_ftensor1 = [](auto &v) {
&v[2]);
};
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
auto t_nf = get_ftensor1(nF);
constexpr auto t_kd = FTensor::Kronecker_Delta<int>();
t_residuum(i, j) = t_R(i, k) * t_u(k, j) - t_kd(i, j);
t_residuum_omega(i, j) =
(levi_civita(i, m, k) * t_omega_dot(k)) * t_R(m, j);
int bb = 0;
for (; bb != nb_dofs / 3; ++bb) {
t_nf(i) += a * t_row_base_fun(j) * t_residuum(i, j);
t_nf(i) += a * t_row_base_fun(j) * t_residuum_omega(i, j);
++t_nf;
++t_row_base_fun;
}
for (; bb != nb_base_functions; ++bb)
++t_row_base_fun;
++t_w;
++t_u;
++t_R;
++t_omega_dot;
}
}
MoFEMErrorCode OpSpatialConsistencyBubble::integrate(EntData &data) {
int nb_dofs = data.getIndices().size();
int nb_integration_pts = data.getN().size1();
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_u = getFTensor2SymmetricFromMat<3>(dataAtPts->streachTensorAtPts);
auto t_omega_dot = getFTensor1FromMat<3>(dataAtPts->rotAxisDotAtPts);
int nb_base_functions = data.getN().size2() / 9;
auto t_row_base_fun = data.getFTensor2N<3, 3>();
auto get_ftensor0 = [](auto &v) {
};
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
auto t_nf = get_ftensor0(nF);
constexpr auto t_kd = FTensor::Kronecker_Delta<int>();
t_residuum(i, j) = t_R(i, k) * t_u(k, j) - t_kd(i, j);
t_residuum_omega(i, j) = (levi_civita(i, m, k) * t_omega_dot(k)) * t_R(m, j);
int bb = 0;
for (; bb != nb_dofs; ++bb) {
t_nf += a * t_row_base_fun(i, j) * t_residuum(i, j);
t_nf += a * t_row_base_fun(i, j) * t_residuum_omega(i, j);
++t_nf;
++t_row_base_fun;
}
for (; bb != nb_base_functions; ++bb) {
++t_row_base_fun;
}
++t_w;
++t_R;
++t_u;
++t_omega_dot;
}
}
MoFEMErrorCode OpSpatialConsistencyDivTerm::integrate(EntData &data) {
int nb_dofs = data.getIndices().size();
int nb_integration_pts = data.getN().size1();
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_s_w = getFTensor1FromMat<3>(dataAtPts->wAtPts);
int nb_base_functions = data.getN().size2() / 3;
auto t_row_diff_base_fun = data.getFTensor2DiffN<3, 3>();
auto get_ftensor1 = [](auto &v) {
&v[2]);
};
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
auto t_nf = get_ftensor1(nF);
int bb = 0;
for (; bb != nb_dofs / 3; ++bb) {
double div_row_base = t_row_diff_base_fun(i, i);
t_nf(i) += a * div_row_base * t_s_w(i);
++t_nf;
++t_row_diff_base_fun;
}
for (; bb != nb_base_functions; ++bb) {
++t_row_diff_base_fun;
}
++t_w;
++t_s_w;
}
}
MoFEMErrorCode OpDispBc::integrate(EntData &data) {
// get entity of face
EntityHandle fe_ent = getFEEntityHandle();
// interate over all boundary data
for (auto &bc : (*bcDispPtr)) {
// check if finite element entity is part of boundary condition
if (bc.faces.find(fe_ent) != bc.faces.end()) {
int nb_dofs = data.getIndices().size();
int nb_integration_pts = data.getN().size1();
auto t_normal = getFTensor1Normal();
auto t_w = getFTensor0IntegrationWeight();
int nb_base_functions = data.getN().size2() / 3;
auto t_row_base_fun = data.getFTensor1N<3>();
auto get_ftensor1 = [](auto &v) {
&v[2]);
};
// get bc data
FTensor::Tensor1<double, 3> t_bc_disp(bc.vals[0], bc.vals[1], bc.vals[2]);
t_bc_disp(i) *= getFEMethod()->ts_t;
for (int gg = 0; gg != nb_integration_pts; ++gg) {
t_bc_res(i) = t_bc_disp(i);
auto t_nf = get_ftensor1(nF);
int bb = 0;
for (; bb != nb_dofs / 3; ++bb) {
t_nf(i) -=
t_w * (t_row_base_fun(j) * t_normal(j)) * t_bc_res(i) * 0.5;
++t_nf;
++t_row_base_fun;
}
for (; bb != nb_base_functions; ++bb)
++t_row_base_fun;
++t_w;
}
}
}
}
MoFEMErrorCode OpRotationBc::integrate(EntData &data) {
// get entity of face
EntityHandle fe_ent = getFEEntityHandle();
// interate over all boundary data
for (auto &bc : (*bcRotPtr)) {
// check if finite element entity is part of boundary condition
if (bc.faces.find(fe_ent) != bc.faces.end()) {
int nb_dofs = data.getIndices().size();
int nb_integration_pts = data.getN().size1();
auto t_normal = getFTensor1Normal();
auto t_w = getFTensor0IntegrationWeight();
int nb_base_functions = data.getN().size2() / 3;
auto t_row_base_fun = data.getFTensor1N<3>();
auto get_ftensor1 = [](auto &v) {
&v[2]);
};
// get bc data
FTensor::Tensor1<double, 3> t_center(bc.vals[0], bc.vals[1], bc.vals[2]);
double theta = bc.theta;
theta *= getFEMethod()->ts_t;
const double a = sqrt(t_normal(i) * t_normal(i));
t_omega(i) = t_normal(i) * (theta / a);
auto t_R = get_rotation_form_vector(t_omega);
auto t_coords = getFTensor1CoordsAtGaussPts();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
t_delta(i) = t_center(i) - t_coords(i);
t_disp(i) = t_delta(i) - t_R(i, j) * t_delta(j);
auto t_nf = get_ftensor1(nF);
int bb = 0;
for (; bb != nb_dofs / 3; ++bb) {
t_nf(i) -= t_w * (t_row_base_fun(j) * t_normal(j)) * t_disp(i) * 0.5;
++t_nf;
++t_row_base_fun;
}
for (; bb != nb_base_functions; ++bb)
++t_row_base_fun;
++t_w;
++t_coords;
}
}
}
}
MoFEMErrorCode FeTractionBc::preProcess() {
struct FaceRule {
int operator()(int p_row, int p_col, int p_data) const {
return 2 * (p_data + 1);
}
};
if (ts_ctx == CTX_TSSETIFUNCTION) {
// Loop boundary elements with traction boundary conditions
fe.getOpPtrVector().push_back(
new OpTractionBc(std::string("P") /* + "_RT"*/, *this));
fe.getRuleHook = FaceRule();
fe.ts_t = ts_t;
CHKERR mField.loop_finite_elements(problemPtr->getName(), "ESSENTIAL_BC",
fe);
}
}
MoFEMErrorCode OpTractionBc::doWork(int side, EntityType type, EntData &data) {
auto t_normal = getFTensor1Normal();
const double nrm2 = sqrt(t_normal(i) * t_normal(i));
t_unit_normal(i) = t_normal(i) / nrm2;
int nb_dofs = data.getFieldData().size();
int nb_integration_pts = data.getN().size1();
int nb_base_functions = data.getN().size2() / 3;
double ts_t = getFEMethod()->ts_t;
auto integrate_matrix = [&]() {
auto t_w = getFTensor0IntegrationWeight();
matPP.resize(nb_dofs / 3, nb_dofs / 3, false);
matPP.clear();
auto t_row_base_fun = data.getFTensor1N<3>();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
int rr = 0;
for (; rr != nb_dofs / 3; ++rr) {
const double a = t_row_base_fun(i) * t_unit_normal(i);
auto t_col_base_fun = data.getFTensor1N<3>(gg, 0);
for (int cc = 0; cc != nb_dofs / 3; ++cc) {
const double b = t_col_base_fun(i) * t_unit_normal(i);
matPP(rr, cc) += t_w * a * b;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
}
};
auto integrate_rhs = [&](auto &bc) {
auto t_w = getFTensor0IntegrationWeight();
vecPv.resize(3, nb_dofs / 3, false);
vecPv.clear();
auto t_row_base_fun = data.getFTensor1N<3>();
double ts_t = getFEMethod()->ts_t;
for (int gg = 0; gg != nb_integration_pts; ++gg) {
int rr = 0;
for (; rr != nb_dofs / 3; ++rr) {
const double t = ts_t * t_w * t_row_base_fun(i) * t_unit_normal(i);
for (int dd = 0; dd != 3; ++dd)
if (bc.flags[dd])
vecPv(dd, rr) += t * bc.vals[dd];
++t_row_base_fun;
}
for (; rr != nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
}
};
auto integrate_rhs_cook = [&](auto &bc) {
vecPv.resize(3, nb_dofs / 3, false);
vecPv.clear();
auto t_w = getFTensor0IntegrationWeight();
auto t_row_base_fun = data.getFTensor1N<3>();
auto t_coords = getFTensor1CoordsAtGaussPts();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
auto calc_tau = [](double y) {
y -= 44;
y /= (60 - 44);
return -y * (y - 1) / 0.25;
};
const double tau = calc_tau(t_coords(1));
int rr = 0;
for (; rr != nb_dofs / 3; ++rr) {
const double t = ts_t * t_w * t_row_base_fun(i) * t_unit_normal(i);
for (int dd = 0; dd != 3; ++dd)
if (bc.flags[dd])
vecPv(dd, rr) += t * tau * bc.vals[dd];
++t_row_base_fun;
}
for (; rr != nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_coords;
}
};
// get entity of face
EntityHandle fe_ent = getFEEntityHandle();
for (auto &bc : *(bcFe.bcData)) {
if (bc.faces.find(fe_ent) != bc.faces.end()) {
int nb_dofs = data.getFieldData().size();
if (nb_dofs) {
CHKERR integrate_matrix();
if (bc.blockName.compare(20, 4, "COOK") == 0)
CHKERR integrate_rhs_cook(bc);
else
CHKERR integrate_rhs(bc);
const auto info =
lapack_dposv('L', nb_dofs / 3, 3, &*matPP.data().begin(),
nb_dofs / 3, &*vecPv.data().begin(), nb_dofs / 3);
if (info > 0)
SETERRQ1(PETSC_COMM_SELF, MOFEM_OPERATION_UNSUCCESSFUL,
"The leading minor of order %i is "
"not positive; definite;\nthe "
"solution could not be computed",
info);
for (int dd = 0; dd != 3; ++dd)
if (bc.flags[dd])
for (int rr = 0; rr != nb_dofs / 3; ++rr)
data.getFieldDofs()[3 * rr + dd]->getFieldData() = vecPv(dd, rr);
}
}
}
}
MoFEMErrorCode OpSpatialEquilibrium_dw_dP::integrate(EntData &row_data,
EntData &col_data) {
int nb_integration_pts = row_data.getN().size1();
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor1 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c + 0), &m(r + 1, c + 1), &m(r + 2, c + 2));
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
int rr = 0;
for (; rr != row_nb_dofs / 3; ++rr) {
auto t_col_diff_base_fun = col_data.getFTensor2DiffN<3, 3>(gg, 0);
auto t_m = get_ftensor1(K, 3 * rr, 0);
for (int cc = 0; cc != col_nb_dofs / 3; ++cc) {
double div_col_base = t_col_diff_base_fun(i, i);
t_m(i) += a * t_row_base_fun * div_col_base;
++t_m;
++t_col_diff_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
}
}
MoFEMErrorCode OpSpatialEquilibrium_dw_dw::integrate(EntData &row_data,
EntData &col_data) {
if (alphaW < std::numeric_limits<double>::epsilon() &&
alphaRho < std::numeric_limits<double>::epsilon())
const int nb_integration_pts = row_data.getN().size1();
const int row_nb_dofs = row_data.getIndices().size();
auto get_ftensor1 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c + 0), &m(r + 1, c + 1), &m(r + 2, c + 2)
);
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
double ts_scale = alphaW * getTSa();
if (std::abs(alphaRho) > std::numeric_limits<double>::epsilon())
ts_scale += alphaRho * getTSaa();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w * ts_scale;
int rr = 0;
for (; rr != row_nb_dofs / 3; ++rr) {
auto t_col_base_fun = row_data.getFTensor0N(gg, 0);
auto t_m = get_ftensor1(K, 3 * rr, 0);
for (int cc = 0; cc != row_nb_dofs / 3; ++cc) {
const double b = a * t_row_base_fun * t_col_base_fun;
t_m(i) -= b;
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
}
}
MoFEMErrorCode OpSpatialPhysical_du_dP::integrate(EntData &row_data,
EntData &col_data) {
int nb_integration_pts = row_data.getN().size1();
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor3 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c + 0), &m(r + 0, c + 1), &m(r + 0, c + 2),
&m(r + 1, c + 0), &m(r + 1, c + 1), &m(r + 1, c + 2),
&m(r + 2, c + 0), &m(r + 2, c + 1), &m(r + 2, c + 2),
&m(r + 3, c + 0), &m(r + 3, c + 1), &m(r + 3, c + 2),
&m(r + 4, c + 0), &m(r + 4, c + 1), &m(r + 4, c + 2),
&m(r + 5, c + 0), &m(r + 5, c + 1), &m(r + 5, c + 2));
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_diff_u =
getFTensor4DdgFromMat<3, 3, 1>(dataAtPts->diffStreachTensorAtPts);
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
int rr = 0;
for (; rr != row_nb_dofs / 6; ++rr) {
auto t_col_base_fun = col_data.getFTensor1N<3>(gg, 0);
auto t_m = get_ftensor3(K, 6 * rr, 0);
for (int cc = 0; cc != col_nb_dofs / 3; ++cc) {
t_RTP_dP(i, j, k) = t_R(k, i) * t_col_base_fun(j) * t_row_base_fun;
for (int kk = 0; kk != 3; ++kk)
for (int ii = 0; ii != 3; ++ii)
for (int jj = ii; jj != 3; ++jj) {
for (int mm = 0; mm != 3; ++mm)
for (int nn = 0; nn != 3; ++nn)
t_m(ii, jj, kk) +=
a * t_diff_u(mm, nn, ii, jj) * t_RTP_dP(mm, nn, kk);
}
++t_col_base_fun;
++t_m;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_R;
++t_diff_u;
}
}
MoFEMErrorCode OpSpatialPhysical_du_dBubble::integrate(EntData &row_data,
EntData &col_data) {
int nb_integration_pts = row_data.getN().size1();
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor2 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c), &m(r + 1, c), &m(r + 2, c), &m(r + 3, c), &m(r + 4, c),
&m(r + 5, c));
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_diff_u =
getFTensor4DdgFromMat<3, 3, 1>(dataAtPts->diffStreachTensorAtPts);
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
int rr = 0;
for (; rr != row_nb_dofs / 6; ++rr) {
auto t_m = get_ftensor2(K, 6 * rr, 0);
auto t_col_base_fun = col_data.getFTensor2N<3, 3>(gg, 0);
for (int cc = 0; cc != col_nb_dofs; ++cc) {
t_RTP_dBubble(i, j) =
a * t_row_base_fun * t_R(k, i) * t_col_base_fun(k, j);
t_m(i, j) += t_diff_u(m, n, i, j) * t_RTP_dBubble(m, n);
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_R;
++t_diff_u;
}
}
MoFEMErrorCode OpSpatialPhysical_du_du::integrate(EntData &row_data,
EntData &col_data) {
int nb_integration_pts = row_data.getN().size1();
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor4 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c + 0), &m(r + 0, c + 1), &m(r + 0, c + 2), &m(r + 0, c + 3),
&m(r + 0, c + 4), &m(r + 0, c + 5),
&m(r + 1, c + 0), &m(r + 1, c + 1), &m(r + 1, c + 2), &m(r + 1, c + 3),
&m(r + 1, c + 4), &m(r + 1, c + 5),
&m(r + 2, c + 0), &m(r + 2, c + 1), &m(r + 2, c + 2), &m(r + 2, c + 3),
&m(r + 2, c + 4), &m(r + 2, c + 5),
&m(r + 3, c + 0), &m(r + 3, c + 1), &m(r + 3, c + 2), &m(r + 3, c + 3),
&m(r + 3, c + 4), &m(r + 3, c + 5),
&m(r + 4, c + 0), &m(r + 4, c + 1), &m(r + 4, c + 2), &m(r + 4, c + 3),
&m(r + 4, c + 4), &m(r + 4, c + 5),
&m(r + 5, c + 0), &m(r + 5, c + 1), &m(r + 5, c + 2), &m(r + 5, c + 3),
&m(r + 5, c + 4), &m(r + 5, c + 5)
);
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_P_dh0 = getFTensor3FromMat(dataAtPts->P_dh0);
auto t_P_dh1 = getFTensor3FromMat(dataAtPts->P_dh1);
auto t_P_dh2 = getFTensor3FromMat(dataAtPts->P_dh2);
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_approx_P = getFTensor2FromMat<3, 3>(dataAtPts->approxPAtPts);
auto t_P = getFTensor2FromMat<3, 3>(dataAtPts->PAtPts);
auto t_dot_log_u =
getFTensor2SymmetricFromMat<3>(dataAtPts->logStreachDotTensorAtPts);
auto t_u = getFTensor2SymmetricFromMat<3>(dataAtPts->streachTensorAtPts);
auto t_diff_u =
getFTensor4DdgFromMat<3, 3, 1>(dataAtPts->diffStreachTensorAtPts);
auto t_eigen_vals = getFTensor1FromMat<3>(dataAtPts->eigenVals);
auto t_eigen_vecs = getFTensor2FromMat<3, 3>(dataAtPts->eigenVecs);
auto &nbUniq = dataAtPts->nbUniq;
constexpr auto t_kd = FTensor::Kronecker_Delta<int>();
t_one4(i, j, k, l) = t_kd(j, l) * t_kd(i, k);
t_one4_symmetric(i, j, k, l) = 0;
for (auto ii : {0, 1, 2})
for (auto jj : {0, 1, 2})
for (auto kk : {0, 1, 2})
for (auto ll : {0, 1, 2}) {
if (ll != kk)
t_one4_symmetric(ii, jj, kk, ll) =
t_one4(ii, jj, kk, ll) + t_one4(ii, jj, ll, kk);
else
t_one4_symmetric(ii, jj, kk, ll) = t_one4(ii, jj, kk, ll);
}
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
t_one(i, j) = 0;
for (auto ii : {0, 1, 2})
t_one(ii, ii) = 1;
const double ts_a = getTSa();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
t_P_dh(i, j, N0, k) = t_P_dh0(i, j, k);
t_P_dh(i, j, N1, k) = t_P_dh1(i, j, k);
t_P_dh(i, j, N2, k) = t_P_dh2(i, j, k);
t_RTP(i, j) = t_R(k, i) * t_approx_P(k, j);
t_deltaP(i, j) = t_RTP(i, j) - t_P(i, j);
t_dot_u(i, j) = t_u(i, k) * t_dot_log_u(k, j);
t_stress_diff(i, j, k, l) = 0;
for (int ii = 0; ii != 3; ++ii)
for (int jj = 0; jj != 3; ++jj)
for (int kk = 0; kk != 3; ++kk)
for (int ll = 0; ll != 3; ++ll)
for (int mm = 0; mm != 3; ++mm)
for (int nn = 0; nn != 3; ++nn)
t_stress_diff(ii, jj, mm, nn) -=
t_P_dh(ii, jj, kk, ll) * t_diff_u(kk, ll, mm, nn);
t_viscous_stress(i, j) = alphaU * t_dot_log_u(i, j);
FTensor::Tensor4<double, 3, 3, 3, 3> t_viscous_stress_diff;
t_viscous_stress_diff(i, j, k, l) = t_one4_symmetric(i, j, k, l);
t_viscous_stress_diff(i, j, k, l) *= (ts_a * alphaU);
t_deltaP2(i, j) = t_deltaP(i, j) - t_viscous_stress(i, j);
auto t_diff2_uP2 = EigenMatrix::getDiffDiffMat(
t_eigen_vals, t_eigen_vecs, f, d_f, dd_f, t_deltaP2, nbUniq[gg]);
for (int ii = 0; ii != 3; ++ii) {
for (int jj = 0; jj < ii; ++jj) {
for (int kk = 0; kk != 3; ++kk) {
for (int ll = 0; ll != kk; ++ll) {
t_diff2_uP2(ii, jj, kk, ll) *= 2;
}
}
}
}
for (int ii = 0; ii != 3; ++ii) {
for (int jj = ii; jj != 3; ++jj) {
for (int kk = 0; kk != 3; ++kk) {
for (int ll = 0; ll < kk; ++ll) {
t_diff2_uP2(ii, jj, kk, ll) *= 2;
}
}
}
}
int rr = 0;
for (; rr != row_nb_dofs / 6; ++rr) {
auto t_col_base_fun = col_data.getFTensor0N(gg, 0);
auto t_m = get_ftensor4(K, 6 * rr, 0);
for (int cc = 0; cc != col_nb_dofs / 6; ++cc) {
const double b = a * t_row_base_fun * t_col_base_fun;
for (int ii = 0; ii != 3; ++ii)
for (int jj = ii; jj != 3; ++jj)
for (int kk = 0; kk != 3; ++kk)
for (int ll = kk; ll != 3; ++ll)
for (int mm = 0; mm != 3; ++mm)
for (int nn = 0; nn != 3; ++nn)
t_m(ii, jj, kk, ll) +=
b * t_diff_u(mm, nn, ii, jj) *
(t_stress_diff(mm, nn, kk, ll) -
t_viscous_stress_diff(mm, nn, kk, ll));
t_m(i, j, k, l) += b * t_diff2_uP2(i, j, k, l);
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_P_dh0;
++t_P_dh1;
++t_P_dh2;
++t_R;
++t_approx_P;
++t_P;
++t_dot_log_u;
++t_u;
++t_diff_u;
++t_eigen_vals;
++t_eigen_vecs;
}
}
MoFEMErrorCode OpSpatialPhysical_du_domega::integrate(EntData &row_data,
EntData &col_data) {
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor3 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c + 0), &m(r + 0, c + 1), &m(r + 0, c + 2),
&m(r + 1, c + 0), &m(r + 1, c + 1), &m(r + 1, c + 2),
&m(r + 2, c + 0), &m(r + 2, c + 1), &m(r + 2, c + 2),
&m(r + 3, c + 0), &m(r + 3, c + 1), &m(r + 3, c + 2),
&m(r + 4, c + 0), &m(r + 4, c + 1), &m(r + 4, c + 2),
&m(r + 5, c + 0), &m(r + 5, c + 1), &m(r + 5, c + 2)
);
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_P = getFTensor2FromMat<3, 3>(dataAtPts->approxPAtPts);
auto t_diff_R = getFTensor3FromMat(dataAtPts->diffRotMatAtPts);
auto t_diff_u =
getFTensor4DdgFromMat<3, 3, 1>(dataAtPts->diffStreachTensorAtPts);
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
int nb_integration_pts = row_data.getN().size1();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
t_RT_domega_P(i, j, m) = t_diff_R(k, i, m) * t_P(k, j);
t(i, j, k) = 0;
for (int ii = 0; ii != 3; ++ii)
for (int jj = ii; jj != 3; ++jj)
for (int mm = 0; mm != 3; ++mm)
for (int nn = 0; nn != 3; ++nn)
for (int kk = 0; kk != 3; ++kk)
t(ii, jj, kk) +=
t_diff_u(mm, nn, ii, jj) * t_RT_domega_P(mm, nn, kk);
int rr = 0;
for (; rr != row_nb_dofs / 6; ++rr) {
auto t_col_base_fun = col_data.getFTensor0N(gg, 0);
auto t_m = get_ftensor3(K, 6 * rr, 0);
for (int cc = 0; cc != col_nb_dofs / 3; ++cc) {
double v = a * t_row_base_fun * t_col_base_fun;
t_m(i, j, k) += v * t(i, j, k);
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_P;
++t_diff_R;
++t_diff_u;
}
}
MoFEMErrorCode OpSpatialRotation_domega_dP::integrate(EntData &row_data,
EntData &col_data) {
int nb_integration_pts = row_data.getN().size1();
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor2 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c + 0), &m(r + 0, c + 1), &m(r + 0, c + 2),
&m(r + 1, c + 0), &m(r + 1, c + 1), &m(r + 1, c + 2),
&m(r + 2, c + 0), &m(r + 2, c + 1), &m(r + 2, c + 2)
);
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
int rr = 0;
for (; rr != row_nb_dofs / 3; ++rr) {
auto t_col_base_fun = col_data.getFTensor1N<3>(gg, 0);
auto t_m = get_ftensor2(K, 3 * rr, 0);
t_levi_R(i, j, k) =
(a * t_row_base_fun) * (levi_civita(i, m, k) * t_R(m, j));
for (int cc = 0; cc != col_nb_dofs / 3; ++cc) {
t_m(k, i) += t_levi_R(i, j, k) * t_col_base_fun(j);
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_R;
}
}
MoFEMErrorCode OpSpatialRotation_domega_dBubble::integrate(EntData &row_data,
EntData &col_data) {
int nb_integration_pts = row_data.getN().size1();
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor1 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c), &m(r + 1, c), &m(r + 2, c));
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
int rr = 0;
for (; rr != row_nb_dofs / 3; ++rr) {
auto t_col_base_fun = col_data.getFTensor2N<3, 3>(gg, 0);
auto t_m = get_ftensor1(K, 3 * rr, 0);
t_levi_r(i, j, k) =
(a * t_row_base_fun) * (levi_civita(i, m, k) * t_R(m, j));
for (int cc = 0; cc != col_nb_dofs; ++cc) {
t_m(k) += t_levi_r(i, j, k) * t_col_base_fun(i, j);
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_R;
}
}
MoFEMErrorCode OpSpatialRotation_domega_domega::integrate(EntData &row_data,
EntData &col_data) {
int nb_integration_pts = row_data.getN().size1();
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor2 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c + 0), &m(r + 0, c + 1), &m(r + 0, c + 2),
&m(r + 1, c + 0), &m(r + 1, c + 1), &m(r + 1, c + 2),
&m(r + 2, c + 0), &m(r + 2, c + 1), &m(r + 2, c + 2)
);
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_approx_P = getFTensor2FromMat<3, 3>(dataAtPts->approxPAtPts);
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_diff_R = getFTensor3FromMat(dataAtPts->diffRotMatAtPts);
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
t_PRT(i, m) = t_approx_P(i, j) * t_R(m, j);
t_leviPRT_domega(n, l) =
levi_civita(i, j, n) * (t_approx_P(i, k) * t_diff_R(j, k, l));
int rr = 0;
for (; rr != row_nb_dofs / 3; ++rr) {
auto t_col_base_fun = col_data.getFTensor0N(gg, 0);
auto t_m = get_ftensor2(K, 3 * rr, 0);
for (int cc = 0; cc != col_nb_dofs / 3; ++cc) {
const double b = a * t_row_base_fun * t_col_base_fun;
t_m(k, m) += b * t_leviPRT_domega(k, m);
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_approx_P;
++t_R;
++t_diff_R;
}
}
MoFEMErrorCode OpSpatialConsistency_dP_domega::integrate(EntData &row_data,
EntData &col_data) {
int nb_integration_pts = row_data.getN().size1();
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor2 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c + 0), &m(r + 0, c + 1), &m(r + 0, c + 2),
&m(r + 1, c + 0), &m(r + 1, c + 1), &m(r + 1, c + 2),
&m(r + 2, c + 0), &m(r + 2, c + 1), &m(r + 2, c + 2)
);
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_diff_R = getFTensor3FromMat(dataAtPts->diffRotMatAtPts);
auto t_u = getFTensor2SymmetricFromMat<3>(dataAtPts->streachTensorAtPts);
auto t_omega_dot = getFTensor1FromMat<3>(dataAtPts->rotAxisDotAtPts);
int row_nb_base_functions = row_data.getN().size2() / 3;
auto t_row_base_fun = row_data.getFTensor1N<3>();
const double ts_a = getTSa();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
constexpr auto t_kd = FTensor::Kronecker_Delta<int>();
int rr = 0;
for (; rr != row_nb_dofs / 3; ++rr) {
t_PRT(i, k) = t_row_base_fun(j) * (t_diff_R(i, l, k) * t_u(l, j));
t_levi1(i, k) = (levi_civita(i, m, n) * t_omega_dot(n)) *
(t_row_base_fun(j) * t_diff_R(m, j, k));
t_levi2(i, k) = levi_civita(i, m, k) * (t_row_base_fun(j) * t_R(m, j));
auto t_col_base_fun = col_data.getFTensor0N(gg, 0);
auto t_m = get_ftensor2(K, 3 * rr, 0);
for (int cc = 0; cc != col_nb_dofs / 3; ++cc) {
t_m(i, j) += (a * t_col_base_fun) * t_PRT(i, j);
t_m(i, j) += (a * t_col_base_fun) * t_levi1(i, j);
t_m(i, j) += ((a * ts_a) * t_col_base_fun) * t_levi2(i, j);
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_R;
++t_diff_R;
++t_u;
++t_omega_dot;
}
}
OpSpatialConsistency_dBubble_domega::integrate(EntData &row_data,
EntData &col_data) {
int nb_integration_pts = row_data.getN().size1();
int row_nb_dofs = row_data.getIndices().size();
int col_nb_dofs = col_data.getIndices().size();
auto get_ftensor2 = [](MatrixDouble &m, const int r, const int c) {
&m(r, c + 0), &m(r, c + 1), &m(r, c + 2));
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_diff_R = getFTensor3FromMat(dataAtPts->diffRotMatAtPts);
auto t_u = getFTensor2SymmetricFromMat<3>(dataAtPts->streachTensorAtPts);
auto t_omega_dot = getFTensor1FromMat<3>(dataAtPts->rotAxisDotAtPts);
int row_nb_base_functions = row_data.getN().size2() / 9;
auto t_row_base_fun = row_data.getFTensor2N<3, 3>();
const double ts_a = getTSa();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
int rr = 0;
for (; rr != row_nb_dofs; ++rr) {
t_PRT(k) = t_row_base_fun(i, j) * (t_diff_R(i, l, k) * t_u(l, j));
t_levi_omega(i, m) = levi_civita(i, m, n) * t_omega_dot(n);
t_levi_omegaDiffR(i, j, k) = t_levi_omega(i, m) * t_diff_R(m, j, k);
t_levi_omegaR(i, j, k) = levi_civita(i, m, k) * t_R(m, j);
FTensor::Tensor1<double, 3> t_levi1, t_levi2;
t_levi1(k) = t_row_base_fun(i, j) * t_levi_omegaDiffR(i, j, k);
t_levi2(k) = t_row_base_fun(i, j) * t_levi_omegaR(i, j, k);
auto t_col_base_fun = col_data.getFTensor0N(gg, 0);
auto t_m = get_ftensor2(K, rr, 0);
for (int cc = 0; cc != col_nb_dofs / 3; ++cc) {
t_m(j) += (a * t_col_base_fun) * t_PRT(j);
t_m(j) += (a * t_col_base_fun) * t_levi1(j);
t_m(j) += ((a * ts_a) * t_col_base_fun) * t_levi2(j);
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
++t_R;
++t_diff_R;
++t_u;
++t_omega_dot;
}
}
MoFEMErrorCode OpSpatialSchurBegin::assemble(int row_side, EntityType row_type,
EntData &data) {
if (row_type != MBTET)
auto &bmc = dataAtPts->blockMatContainor;
for (auto &bit : bmc)
bit.unSetAtElement();
// bmc.clear();
}
MoFEMErrorCode OpSpatialPreconditionMass::integrate(EntData &row_data) {
const int nb_integration_pts = row_data.getN().size1();
const int row_nb_dofs = row_data.getIndices().size();
auto get_ftensor1 = [](MatrixDouble &m, const int r, const int c) {
&m(r + 0, c + 0), &m(r + 1, c + 1), &m(r + 2, c + 2)
);
};
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto &m = *mPtr;
m.resize(row_nb_dofs, row_nb_dofs, false);
m.clear();
int row_nb_base_functions = row_data.getN().size2();
auto t_row_base_fun = row_data.getFTensor0N();
for (int gg = 0; gg != nb_integration_pts; ++gg) {
double a = v * t_w;
int rr = 0;
for (; rr != row_nb_dofs / 3; ++rr) {
auto t_col_base_fun = row_data.getFTensor0N(gg, 0);
auto t_m = get_ftensor1(m, 3 * rr, 0);
for (int cc = 0; cc != row_nb_dofs / 3; ++cc) {
const double b = a * t_row_base_fun * t_col_base_fun;
t_m(i) += b;
++t_m;
++t_col_base_fun;
}
++t_row_base_fun;
}
for (; rr != row_nb_base_functions; ++rr)
++t_row_base_fun;
++t_w;
}
}
MoFEMErrorCode OpSpatialSchurEnd::assemble(int row_side, EntityType row_type,
EntData &data) {
if (row_type != MBTET)
if (auto ep_fe_vol_ptr =
dynamic_cast<const EpElement<VolumeElementForcesAndSourcesCore> *>(
getFEMethod())) {
SmartPetscObj<AO> aoSuu;
SmartPetscObj<AO> aoSBB;
SmartPetscObj<AO> aoSOO;
SmartPetscObj<AO> aoSww;
SmartPetscObj<Mat> Suu;
SmartPetscObj<Mat> SBB;
SmartPetscObj<Mat> SOO;
SmartPetscObj<Mat> Sww;
auto set_data = [&](auto fe) {
aoSuu = fe->aoSuu;
aoSBB = fe->aoSBubble;
aoSOO = fe->aoSOmega;
aoSww = fe->aoSw;
Suu = fe->Suu;
SBB = fe->SBubble;
SOO = fe->SOmega;
Sww = fe->Sw;
};
set_data(ep_fe_vol_ptr);
if (Suu) {
auto find_block = [&](DataAtIntegrationPts::BlockMatContainor &add_bmc,
auto &row_name, auto &col_name, auto row_side,
auto col_side, auto row_type, auto col_type) {
return add_bmc.get<0>().find(boost::make_tuple(
row_name, col_name, row_type, col_type, row_side, col_side));
};
auto set_block = [&](DataAtIntegrationPts::BlockMatContainor &add_bmc,
auto &row_name, auto &col_name, auto row_side,
auto col_side, auto row_type, auto col_type,
const auto &m, const auto &row_ind,
const auto &col_ind) {
auto it = find_block(add_bmc, row_name, col_name, row_side, col_side,
row_type, col_type);
if (it != add_bmc.get<0>().end()) {
it->setMat(m);
it->setInd(row_ind, col_ind);
it->setSetAtElement();
return it;
} else {
auto p_it = add_bmc.insert(DataAtIntegrationPts::BlockMatData(
row_name, col_name, row_type, col_type, row_side, col_side, m,
row_ind, col_ind));
return p_it.first;
}
};
auto add_block = [&](DataAtIntegrationPts::BlockMatContainor &add_bmc,
auto &row_name, auto &col_name, auto row_side,
auto col_side, auto row_type, auto col_type,
const auto &m, const auto &row_ind,
const auto &col_ind) {
auto it = find_block(add_bmc, row_name, col_name, row_side, col_side,
row_type, col_type);
if (it != add_bmc.get<0>().end()) {
it->addMat(m);
it->setInd(row_ind, col_ind);
it->setSetAtElement();
return it;
} else {
auto p_it = add_bmc.insert(DataAtIntegrationPts::BlockMatData(
row_name, col_name, row_type, col_type, row_side, col_side, m,
row_ind, col_ind));
return p_it.first;
}
};
auto assemble_block = [&](auto &bit, Mat S) {
const VectorInt &rind = bit.rowInd;
const VectorInt &cind = bit.colInd;
const MatrixDouble &m = bit.M;
CHKERR MatSetValues(S, rind.size(), &*rind.begin(), cind.size(),
&*cind.begin(), &*m.data().begin(), ADD_VALUES);
};
auto invert_symm_mat = [&](MatrixDouble &m, auto &inv) {
const int nb = m.size1();
inv.resize(nb, nb, false);
inv.clear();
for (int cc = 0; cc != nb; ++cc)
inv(cc, cc) = -1;
iPIV.resize(nb, false);
lapackWork.resize(nb * nb, false);
const auto info = lapack_dsysv('L', nb, nb, &*m.data().begin(), nb,
&*iPIV.begin(), &*inv.data().begin(), nb,
&*lapackWork.begin(), nb * nb);
// if (info != 0)
// SETERRQ1(PETSC_COMM_SELF, MOFEM_OPERATION_UNSUCCESSFUL,
// "Can not invert matrix info = %d", info);
};
auto invert_symm_schur = [&](DataAtIntegrationPts::BlockMatContainor &bmc,
std::string field, auto &inv) {
auto bit =
bmc.get<1>().find(boost::make_tuple(field, field, MBTET, MBTET));
if (bit != bmc.get<1>().end()) {
auto &m = *const_cast<MatrixDouble *>(&(bit->M));
CHKERR invert_symm_mat(m, inv);
} else
SETERRQ1(PETSC_COMM_SELF, MOFEM_OPERATION_UNSUCCESSFUL,
"%s matrix not found", field.c_str());
};
auto invert_nonsymm_mat = [&](MatrixDouble &m, auto &inv) {
const int nb = m.size1();
MatrixDouble trans_m = trans(m);
MatrixDouble trans_inv;
trans_inv.resize(nb, nb, false);
trans_inv.clear();
for (int c = 0; c != nb; ++c)
trans_inv(c, c) = -1;
iPIV.resize(nb, false);
const auto info =
lapack_dgesv(nb, nb, &*trans_m.data().begin(), nb, &*iPIV.begin(),
&*trans_inv.data().begin(), nb);
if (info != 0)
SETERRQ1(PETSC_COMM_SELF, MOFEM_OPERATION_UNSUCCESSFUL,
"Can not invert matrix info = %d", info);
inv.resize(nb, nb, false);
noalias(inv) = trans(trans_inv);
};
auto invert_nonsymm_schur =
[&](DataAtIntegrationPts::BlockMatContainor &bmc, std::string field,
auto &inv, const bool debug = false) {
auto bit = bmc.get<1>().find(
boost::make_tuple(field, field, MBTET, MBTET));
if (bit != bmc.get<1>().end()) {
auto &m = *const_cast<MatrixDouble *>(&(bit->M));
CHKERR invert_nonsymm_mat(m, inv);
if (debug) {
std::cerr << prod(m, inv) << endl;
std::cerr << endl;
}
} else
SETERRQ1(PETSC_COMM_SELF, MOFEM_OPERATION_UNSUCCESSFUL,
"%s matrix not found", field.c_str());
};
auto create_block_schur =
[&](DataAtIntegrationPts::BlockMatContainor &bmc,
DataAtIntegrationPts::BlockMatContainor &add_bmc,
std::string field, AO ao, MatrixDouble &inv) {
for (auto &bit : add_bmc) {
bit.unSetAtElement();
bit.clearMat();
}
for (auto &bit : bmc) {
if (bit.setAtElement && bit.rowField != field &&
bit.colField != field) {
VectorInt rind = bit.rowInd;
VectorInt cind = bit.colInd;
const MatrixDouble &m = bit.M;
if (ao) {
CHKERR AOApplicationToPetsc(ao, rind.size(), &*rind.begin());
CHKERR AOApplicationToPetsc(ao, cind.size(), &*cind.begin());
}
auto it = set_block(add_bmc, bit.rowField, bit.colField,
bit.rowSide, bit.colSide, bit.rowType,
bit.colType, m, rind, cind);
}
}
for (auto &bit_col : bmc) {
if (bit_col.setAtElement && bit_col.rowField == field &&
bit_col.colField != field) {
const MatrixDouble &cm = bit_col.M;
VectorInt cind = bit_col.colInd;
invMat.resize(inv.size1(), cm.size2(), false);
noalias(invMat) = prod(inv, cm);
if (ao)
CHKERR AOApplicationToPetsc(ao, cind.size(), &*cind.begin());
for (auto &bit_row : bmc) {
if (bit_row.setAtElement && bit_row.rowField != field &&
bit_row.colField == field) {
const MatrixDouble &rm = bit_row.M;
VectorInt rind = bit_row.rowInd;
K.resize(rind.size(), cind.size(), false);
noalias(K) = prod(rm, invMat);
if (ao)
CHKERR AOApplicationToPetsc(ao, rind.size(),
&*rind.begin());
auto it = add_block(add_bmc, bit_row.rowField,
bit_col.colField, bit_row.rowSide,
bit_col.colSide, bit_row.rowType,
bit_col.colType, K, rind, cind);
}
}
}
}
};
auto assemble_schur =
[&](DataAtIntegrationPts::BlockMatContainor &add_bmc, Mat S,
bool debug = false) {
for (auto &bit : add_bmc) {
if (bit.setAtElement)
CHKERR assemble_block(bit, S);
}
if (debug) {
for (auto &bit : add_bmc) {
if (bit.setAtElement) {
std::cerr << "assemble: " << bit.rowField << " "
<< bit.colField << endl;
std::cerr << bit.M << endl;
}
}
std::cerr << std::endl;
}
};
auto precondition_schur =
[&](DataAtIntegrationPts::BlockMatContainor &bmc,
DataAtIntegrationPts::BlockMatContainor &add_bmc,
const std::string field, const MatrixDouble &diag_mat,
const double eps) {
for (auto &bit : add_bmc) {
bit.unSetAtElement();
bit.clearMat();
}
for (auto &bit : bmc) {
if (bit.setAtElement) {
if (bit.rowField != field || bit.colField != field)
auto it =
set_block(add_bmc, bit.rowField, bit.colField,
bit.rowSide, bit.colSide, bit.rowType,
bit.colType, bit.M, bit.rowInd, bit.colInd);
}
}
auto bit = bmc.get<1>().find(
boost::make_tuple(field, field, MBTET, MBTET));
if (bit->setAtElement && bit != bmc.get<1>().end()) {
auto it =
set_block(add_bmc, bit->rowField, bit->colField, bit->rowSide,
bit->colSide, bit->rowType, bit->colType, bit->M,
bit->rowInd, bit->colInd);
MatrixDouble &m = const_cast<MatrixDouble &>(it->M);
m += eps * diag_mat;
} else {
auto row_it = bmc.get<3>().lower_bound(field);
for (; row_it != bmc.get<3>().upper_bound(field); ++row_it) {
if (row_it->setAtElement) {
auto it = set_block(add_bmc, field, field, 0, 0, MBTET, MBTET,
diag_mat, row_it->rowInd, row_it->rowInd);
MatrixDouble &m = const_cast<MatrixDouble &>(it->M);
m *= eps;
break;
}
}
if (row_it == bmc.get<3>().end())
SETERRQ1(PETSC_COMM_SELF, MOFEM_OPERATION_UNSUCCESSFUL,
"row field not found %s", field.c_str());
}
};
CHKERR invert_symm_schur(dataAtPts->blockMatContainor, "u",
invBlockMat["uu"]);
CHKERR create_block_schur(dataAtPts->blockMatContainor, blockMat["uu"],
"u", aoSuu, invBlockMat["uu"]);
CHKERR assemble_schur(blockMat["uu"], Suu);
if (SBB) {
CHKERR invert_symm_schur(blockMat["uu"], "BUBBLE", invBlockMat["BB"]);
CHKERR create_block_schur(blockMat["uu"], blockMat["BB"], "BUBBLE",
aoSBB, invBlockMat["BB"]);
CHKERR precondition_schur(blockMat["BB"], blockMat["precBBOO"], "omega",
*dataAtPts->ooMatPtr, eps);
CHKERR assemble_schur(blockMat["precBBOO"], SBB);
if (SOO) {
CHKERR invert_nonsymm_schur(blockMat["precBBOO"], "omega",
invBlockMat["OO"]);
CHKERR create_block_schur(blockMat["precBBOO"], blockMat["OO"],
"omega", aoSOO, invBlockMat["OO"]);
if (dataAtPts->wwMatPtr) {
CHKERR precondition_schur(blockMat["OO"], blockMat["precOOww"], "w",
*dataAtPts->wwMatPtr, -eps);
} else {
blockMat["precOOww"] = blockMat["OO"];
}
CHKERR assemble_schur(blockMat["precOOww"], SOO);
if (Sww) {
CHKERR invert_symm_schur(blockMat["precOOww"], "w",
invBlockMat["ww"]);
CHKERR create_block_schur(blockMat["precOOww"], blockMat["ww"], "w",
aoSww, invBlockMat["ww"]);
CHKERR assemble_schur(blockMat["ww"], Sww);
}
}
}
}
}
}
MoFEMErrorCode OpPostProcDataStructure::doWork(int side, EntityType type,
EntData &data) {
if (type != MBVERTEX)
auto create_tag = [this](const std::string tag_name, const int size) {
double def_VAL[] = {0, 0, 0, 0, 0, 0, 0, 0, 0};
Tag th;
CHKERR postProcMesh.tag_get_handle(tag_name.c_str(), size, MB_TYPE_DOUBLE,
th, MB_TAG_CREAT | MB_TAG_SPARSE,
def_VAL);
return th;
};
Tag th_w = create_tag("SpatialDisplacement", 3);
Tag th_omega = create_tag("Omega", 3);
Tag th_approxP = create_tag("Piola1Stress", 9);
Tag th_sigma = create_tag("CauchyStress", 9);
Tag th_log_u = create_tag("LogSpatialStreach", 9);
Tag th_u = create_tag("SpatialStreach", 9);
Tag th_h = create_tag("h", 9);
Tag th_X = create_tag("X", 3);
Tag th_detF = create_tag("detF", 1);
Tag th_angular_momentum = create_tag("AngularMomentum", 3);
Tag th_u_eig_vec = create_tag("SpatialStreachEigenVec", 9);
Tag th_u_eig_vals = create_tag("SpatialStreachEigenVals", 3);
int nb_gauss_pts = data.getN().size1();
if (mapGaussPts.size() != (unsigned int)nb_gauss_pts) {
SETERRQ(PETSC_COMM_SELF, MOFEM_DATA_INCONSISTENCY,
"Nb. of integration points is not equal to number points on "
"post-processing mesh");
}
auto t_w = getFTensor1FromMat<3>(dataAtPts->wAtPts);
auto t_omega = getFTensor1FromMat<3>(dataAtPts->rotAxisAtPts);
auto t_h = getFTensor2FromMat<3, 3>(dataAtPts->hAtPts);
auto t_log_u =
getFTensor2SymmetricFromMat<3>(dataAtPts->logStreachTensorAtPts);
auto t_u = getFTensor2SymmetricFromMat<3>(dataAtPts->streachTensorAtPts);
auto t_R = getFTensor2FromMat<3, 3>(dataAtPts->rotMatAtPts);
auto t_approx_P = getFTensor2FromMat<3, 3>(dataAtPts->approxPAtPts);
auto t_coords = getFTensor1CoordsAtGaussPts();
// vectors
FTensor::Tensor1<FTensor::PackPtr<double *, 0>, 3> t_v(&v[0], &v[1], &v[2]);
auto save_vec_tag = [&](auto &th, auto &t_d, const int gg) {
t_v(i) = t_d(i);
CHKERR postProcMesh.tag_set_data(th, &mapGaussPts[gg], 1,
&*v.data().begin());
};
&m(0, 0), &m(0, 1), &m(0, 2),
&m(1, 0), &m(1, 1), &m(1, 2),
&m(2, 0), &m(2, 1), &m(2, 2));
auto save_mat_tag = [&](auto &th, auto &t_d, const int gg) {
t_m(i, j) = t_d(i, j);
CHKERR postProcMesh.tag_set_data(th, &mapGaussPts[gg], 1,
&*m.data().begin());
};
for (int gg = 0; gg != nb_gauss_pts; ++gg) {
// vetors
CHKERR save_vec_tag(th_w, t_w, gg);
CHKERR save_vec_tag(th_X, t_coords, gg);
CHKERR save_vec_tag(th_omega, t_omega, gg);
// tensors
CHKERR save_mat_tag(th_h, t_h, gg);
for (int ii = 0; ii != 3; ++ii)
for (int jj = 0; jj != 3; ++jj)
t_log_u_tmp(ii, jj) = t_log_u(ii, jj);
CHKERR save_mat_tag(th_log_u, t_log_u_tmp, gg);
for (int ii = 0; ii != 3; ++ii)
for (int jj = 0; jj != 3; ++jj)
t_u_tmp(ii, jj) = t_u(ii, jj);
CHKERR save_mat_tag(th_u, t_u_tmp, gg);
CHKERR save_mat_tag(th_approxP, t_approx_P, gg);
const double jac = dEterminant(t_h);
t_cauchy(i, j) = (1. / jac) * (t_approx_P(i, k) * t_h(j, k));
CHKERR save_mat_tag(th_sigma, t_cauchy, gg);
CHKERR postProcMesh.tag_set_data(th_detF, &mapGaussPts[gg], 1, &jac);
t_PhT(i, k) = t_approx_P(i, j) * t_R(k, j);
t_leviPRT(k) = levi_civita(i, l, k) * t_PhT(i, l);
CHKERR postProcMesh.tag_set_data(th_angular_momentum, &mapGaussPts[gg], 1,
&t_leviPRT(0));
auto get_eiegn_vector_symmetric = [&](auto &t_u) {
for (int ii = 0; ii != 3; ++ii)
for (int jj = 0; jj != 3; ++jj)
t_m(ii, jj) = t_u(ii, jj);
VectorDouble3 eigen_values(3);
// LAPACK - eigenvalues and vectors. Applied twice for initial creates
// memory space
int n = 3, lda = 3, info, lwork = -1;
double wkopt;
info = lapack_dsyev('V', 'U', n, &(m.data()[0]), lda,
&(eigen_values.data()[0]), &wkopt, lwork);
if (info != 0)
SETERRQ1(PETSC_COMM_SELF, MOFEM_DATA_INCONSISTENCY,
"is something wrong with lapack_dsyev info = %d", info);
lwork = (int)wkopt;
double work[lwork];
info = lapack_dsyev('V', 'U', n, &(m.data()[0]), lda,
&(eigen_values.data()[0]), work, lwork);
if (info != 0)
SETERRQ1(PETSC_COMM_SELF, MOFEM_DATA_INCONSISTENCY,
"is something wrong with lapack_dsyev info = %d", info);
CHKERR postProcMesh.tag_set_data(th_u_eig_vec, &mapGaussPts[gg], 1,
&*m.data().begin());
CHKERR postProcMesh.tag_set_data(th_u_eig_vals, &mapGaussPts[gg], 1,
&*eigen_values.data().begin());
};
CHKERR get_eiegn_vector_symmetric(t_u);
++t_w;
++t_h;
++t_log_u;
++t_u;
++t_omega;
++t_R;
++t_approx_P;
++t_coords;
}
}
OpCalculateStrainEnergy::doWork(int side, EntityType type,
if (type == MBTET) {
int nb_integration_pts = data.getN().size1();
auto v = getVolume();
auto t_w = getFTensor0IntegrationWeight();
auto t_P = getFTensor2FromMat<3, 3>(dataAtPts->approxPAtPts);
auto t_h = getFTensor2FromMat<3, 3>(dataAtPts->hAtPts);
for (int gg = 0; gg != nb_integration_pts; ++gg) {
const double a = t_w * v;
(*energy) += a * t_P(i, J) * t_h(i, J);
++t_w;
++t_P;
++t_h;
}
}
}
MoFEMErrorCode OpL2Transform::doWork(int side, EntityType type,
if (type == MBTET) {
auto v = getVolume();
for (auto &base : data.getN(AINSWORTH_LEGENDRE_BASE).data())
base /= v;
}
}
} // namespace EshelbianPlasticity
static Index< 'm', 3 > m
static Index< 'n', 3 > n
static Index< 'J', 3 > J
static Number< 2 > N2
static Number< 1 > N1
static Index< 'K', 3 > K
static Number< 0 > N0
MoFEMErrorCode get_eigen_val_and_proj_lapack(const Tensor2_symmetric< T, 3 > &X, Tensor1< T, 3 > &lambda, Tensor2< T, 3, 3 > &eig_vec)
bool is_eq(const double &a, const double &b)
Eshelbian plasticity interface.
Kronecker Delta class.
@ AINSWORTH_LEGENDRE_BASE
Ainsworth Cole (Legendre) approx. base .
Definition: definitions.h:152
#define MoFEMFunctionReturnHot(a)
Last executable line of each PETSc function used for error handling. Replaces return()
Definition: definitions.h:516
#define MoFEMFunctionBegin
First executable line of each MoFEM function, used for error handling. Final line of MoFEM functions ...
Definition: definitions.h:415
@ MOFEM_OPERATION_UNSUCCESSFUL
Definition: definitions.h:126
@ MOFEM_DATA_INCONSISTENCY
Definition: definitions.h:123
@ MOFEM_INVALID_DATA
Definition: definitions.h:128
#define MoFEMFunctionReturn(a)
Last executable line of each PETSc function used for error handling. Replaces return()
Definition: definitions.h:485
#define CHKERR
Inline error check.
Definition: definitions.h:604
#define MoFEMFunctionBeginHot
First executable line of each MoFEM function, used for error handling. Final line of MoFEM functions ...
Definition: definitions.h:509
static const bool debug
static __CLPK_integer lapack_dposv(char uplo, __CLPK_integer n, __CLPK_integer nrhs, __CLPK_doublereal *a, __CLPK_integer lda, __CLPK_doublereal *b, __CLPK_integer ldb)
Definition: lapack_wrap.h:223
static __CLPK_integer lapack_dgesv(__CLPK_integer n, __CLPK_integer nrhs, __CLPK_doublereal *a, __CLPK_integer lda, __CLPK_integer *ipiv, __CLPK_doublereal *b, __CLPK_integer ldb)
Definition: lapack_wrap.h:188
static __CLPK_integer lapack_dsyev(char jobz, char uplo, __CLPK_integer n, __CLPK_doublereal *a, __CLPK_integer lda, __CLPK_doublereal *w, __CLPK_doublereal *work, __CLPK_integer lwork)
Definition: lapack_wrap.h:273
static __CLPK_integer lapack_dsysv(char uplo, __CLPK_integer n, __CLPK_integer nrhs, __CLPK_doublereal *a, __CLPK_integer lda, __CLPK_integer *ipiv, __CLPK_doublereal *b, __CLPK_integer ldb, __CLPK_doublereal *work, __CLPK_integer lwork)
Definition: lapack_wrap.h:232
FTensor::Index< 'l', 3 > l
FTensor::Index< 'j', 3 > j
FTensor::Index< 'i', 3 > i
FTensor::Index< 'k', 3 > k
double tol
const double T
FTensor::Ddg< double, 3, 3 > getDiffMat(Val< double, 3 > &t_val, Vec< double, 3 > &t_vec, Fun< double > f, Fun< double > d_f, const int nb)
Get the Diff Mat object.
FTensor::Tensor2_symmetric< double, 3 > getMat(Val< double, 3 > &t_val, Vec< double, 3 > &t_vec, Fun< double > f)
Get the Mat object.
FTensor::Ddg< double, 3, 3 > getDiffDiffMat(Val< double, 3 > &t_val, Vec< double, 3 > &t_vec, Fun< double > f, Fun< double > d_f, Fun< double > dd_f, FTensor::Tensor2< double, 3, 3 > &t_S, const int nb)
Get the Diff Diff Mat object.
static FTensor::Tensor3< typename TensorTypeExtractor< T >::Type, 3, 3, 3 > get_diff_rotation_form_vector(FTensor::Tensor1< T, 3 > &t_omega)
static FTensor::Tensor2< typename TensorTypeExtractor< T >::Type, 3, 3 > get_rotation_form_vector(FTensor::Tensor1< T, 3 > &t_omega)
double f(const double v)
void sort_eigen_vals(T1 &eig, T2 &eigen_vec)
double dd_f(const double v)
FTensor::Tensor3< FTensor::PackPtr< double *, 1 >, 3, 3, 3 > getFTensor3FromMat(MatrixDouble &m)
double d_f(const double v)
JSON compatible output.
const Tensor2_symmetric_Expr< const ddTensor0< T, Dim, i, j >, typename promote< T, double >::V, Dim, i, j > dd(const Tensor0< T * > &a, const Index< i, Dim > index1, const Index< j, Dim > index2, const Tensor1< int, Dim > &d_ijk, const Tensor1< double, Dim > &d_xyz)
Definition: ddTensor0.hpp:33
constexpr std::enable_if<(Dim0<=2 &&Dim1<=2), Tensor2_Expr< Levi_Civita< T >, T, Dim0, Dim1, i, j > >::type levi_civita(const Index< i, Dim0 > &, const Index< j, Dim1 > &)
levi_civita functions to make for easy adhoc use
PetscErrorCode MoFEMErrorCode
MoFEM/PETSc error code.
Definition: Exceptions.hpp:67
ublas::vector< int, IntAllocator > VectorInt
Definition: Types.hpp:73
MatrixBoundedArray< double, 9 > MatrixDouble3by3
Definition: Types.hpp:102
VectorBoundedArray< double, 3 > VectorDouble3
Definition: Types.hpp:92
ublas::matrix< double, ublas::row_major, DoubleAllocator > MatrixDouble
Definition: Types.hpp:76
implementation of Data Operators for Forces and Sources
Definition: Common.hpp:21
static double dEterminant(T &t)
Calculate the determinant of a 3x3 matrix or a tensor of rank 2.
Definition: Templates.hpp:875
MoFEMErrorCode MatSetValues(Mat M, const DataForcesAndSourcesCore::EntData &row_data, const DataForcesAndSourcesCore::EntData &col_data, const double *ptr, InsertMode iora)
Assemble PETSc matrix.
const double r
rate factor
DataForcesAndSourcesCore::EntData EntData
Set integration rule to boundary elements.
Data on single entity (This is passed as argument to DataOperator::doWork)
const VectorInt & getIndices() const
Get global indices of dofs on entity.
const VectorDouble & getFieldData() const
get dofs values
MatrixDouble & getN(const FieldApproximationBase base)
get base functions this return matrix (nb. of rows is equal to nb. of Gauss pts, nb....
FTensor::Tensor1< FTensor::PackPtr< double *, Tensor_Dim >, Tensor_Dim > getFTensor1N(FieldApproximationBase base)
Get base functions for Hdiv/Hcurl spaces.
FTensor::Tensor0< FTensor::PackPtr< double *, 1 > > getFTensor0N(const FieldApproximationBase base)
Get base function as Tensor0.
const VectorDofs & getFieldDofs() const
get dofs data stature FEDofEntity
FTensor::Tensor2< FTensor::PackPtr< double *, Tensor_Dim0 *Tensor_Dim1 >, Tensor_Dim0, Tensor_Dim1 > getFTensor2DiffN(FieldApproximationBase base)
Get derivatives of base functions for Hdiv space.
FTensor::Tensor2< FTensor::PackPtr< double *, Tensor_Dim0 *Tensor_Dim1 >, Tensor_Dim0, Tensor_Dim1 > getFTensor2N(FieldApproximationBase base)
Get base functions for Hdiv/Hcurl spaces.