RankFourTensor
TensorMechanicsPlasticTensile::dflowPotential_dstress(const RankTwoTensor & stress, const Real & intnl) const
{
Real mean_stress = stress.trace()/3.0;
RankTwoTensor dmean_stress = stress.dtrace()/3.0;
Real sin3Lode = stress.sin3Lode(_lode_cutoff, 0);
if (sin3Lode <= _sin3tt)
{
// the non-edge-smoothed version
std::vector<Real> eigvals;
std::vector<RankTwoTensor> deigvals;
std::vector<RankFourTensor> d2eigvals;
stress.dsymmetricEigenvalues(eigvals, deigvals);
stress.d2symmetricEigenvalues(d2eigvals);
Real denom = std::sqrt(_small_smoother2 + std::pow(eigvals[2] - mean_stress, 2));
RankFourTensor dr_dstress = (eigvals[2] - mean_stress)*d2eigvals[2]/denom;
for (unsigned i = 0 ; i < 3 ; ++i)
for (unsigned j = 0 ; j < 3 ; ++j)
for (unsigned k = 0 ; k < 3 ; ++k)
for (unsigned l = 0 ; l < 3 ; ++l)
dr_dstress(i, j, k, l) += (1 - std::pow((eigvals[2] - mean_stress)/denom, 2))*(deigvals[2](i, j) - dmean_stress(i, j))*(deigvals[2](k, l) - dmean_stress(k, l))/denom;
return dr_dstress;
}
else
{
// the edge-smoothed version
RankTwoTensor dsin3Lode = stress.dsin3Lode(_lode_cutoff);
Real kk = _aaa + _bbb*sin3Lode + _ccc*std::pow(sin3Lode, 2);
RankTwoTensor dkk = (_bbb + 2*_ccc*sin3Lode)*dsin3Lode;
RankFourTensor d2kk = (_bbb + 2*_ccc*sin3Lode)*stress.d2sin3Lode(_lode_cutoff);
for (unsigned i = 0 ; i < 3 ; ++i)
for (unsigned j = 0 ; j < 3 ; ++j)
for (unsigned k = 0 ; k < 3 ; ++k)
for (unsigned l = 0 ; l < 3 ; ++l)
d2kk(i, j, k, l) += 2*_ccc*dsin3Lode(i, j)*dsin3Lode(k, l);
Real sibar2 = stress.secondInvariant();
RankTwoTensor dsibar2 = stress.dsecondInvariant();
RankFourTensor d2sibar2 = stress.d2secondInvariant();
Real denom = std::sqrt(_small_smoother2 + sibar2*std::pow(kk, 2));
RankFourTensor dr_dstress = (0.5*d2sibar2*std::pow(kk, 2) + sibar2*kk*d2kk)/denom;
for (unsigned i = 0 ; i < 3 ; ++i)
for (unsigned j = 0 ; j < 3 ; ++j)
for (unsigned k = 0 ; k < 3 ; ++k)
for (unsigned l = 0 ; l < 3 ; ++l)
{
dr_dstress(i, j, k, l) += (dsibar2(i, j)*dkk(k, l)*kk + dkk(i, j)*dsibar2(k, l)*kk + sibar2*dkk(i, j)*dkk(k, l))/denom;
dr_dstress(i, j, k, l) -= (0.5*dsibar2(i, j)*std::pow(kk, 2) + sibar2*kk*dkk(i, j))*(0.5*dsibar2(k, l)*std::pow(kk, 2) + sibar2*kk*dkk(k, l))/std::pow(denom, 3);
}
return dr_dstress;
}
}
void
TensorMechanicsPlasticMohrCoulombMulti::dflowPotential_dstressV(const RankTwoTensor & stress, Real intnl, std::vector<RankFourTensor> & dr_dstress) const
{
std::vector<RankFourTensor> d2eigvals;
stress.d2symmetricEigenvalues(d2eigvals);
const Real sinpsi = std::sin(psi(intnl));
dr_dstress.resize(6);
dr_dstress[0] = 0.5*(d2eigvals[0] - d2eigvals[1]) + 0.5*(d2eigvals[0] + d2eigvals[1])*sinpsi;
dr_dstress[1] = 0.5*(d2eigvals[1] - d2eigvals[0]) + 0.5*(d2eigvals[0] + d2eigvals[1])*sinpsi;
dr_dstress[2] = 0.5*(d2eigvals[0] - d2eigvals[2]) + 0.5*(d2eigvals[0] + d2eigvals[2])*sinpsi;
dr_dstress[3] = 0.5*(d2eigvals[2] - d2eigvals[0]) + 0.5*(d2eigvals[0] + d2eigvals[2])*sinpsi;
dr_dstress[4] = 0.5*(d2eigvals[1] - d2eigvals[2]) + 0.5*(d2eigvals[1] + d2eigvals[2])*sinpsi;
dr_dstress[5] = 0.5*(d2eigvals[2] - d2eigvals[1]) + 0.5*(d2eigvals[1] + d2eigvals[2])*sinpsi;
}
RankFourTensor
TensorMechanicsPlasticTensile::dflowPotential_dstress(const RankTwoTensor & stress,
Real /*intnl*/) const
{
Real mean_stress = stress.trace() / 3.0;
RankTwoTensor dmean_stress = stress.dtrace() / 3.0;
Real sin3Lode = stress.sin3Lode(_lode_cutoff, 0);
if (sin3Lode <= _sin3tt)
{
// the non-edge-smoothed version
std::vector<Real> eigvals;
std::vector<RankTwoTensor> deigvals;
std::vector<RankFourTensor> d2eigvals;
stress.dsymmetricEigenvalues(eigvals, deigvals);
stress.d2symmetricEigenvalues(d2eigvals);
Real denom = std::sqrt(smooth(stress) + Utility::pow<2>(eigvals[2] - mean_stress));
Real denom3 = Utility::pow<3>(denom);
RankTwoTensor numer_part = deigvals[2] - dmean_stress;
RankTwoTensor numer_full =
0.5 * dsmooth(stress) * dmean_stress + (eigvals[2] - mean_stress) * numer_part;
Real d2smooth_over_denom = d2smooth(stress) / denom;
RankFourTensor dr_dstress = (eigvals[2] - mean_stress) * d2eigvals[2] / denom;
for (unsigned i = 0; i < 3; ++i)
for (unsigned j = 0; j < 3; ++j)
for (unsigned k = 0; k < 3; ++k)
for (unsigned l = 0; l < 3; ++l)
{
dr_dstress(i, j, k, l) +=
0.5 * d2smooth_over_denom * dmean_stress(i, j) * dmean_stress(k, l);
dr_dstress(i, j, k, l) += numer_part(i, j) * numer_part(k, l) / denom;
dr_dstress(i, j, k, l) -= numer_full(i, j) * numer_full(k, l) / denom3;
}
return dr_dstress;
}
else
{
// the edge-smoothed version
RankTwoTensor dsin3Lode = stress.dsin3Lode(_lode_cutoff);
Real kk = _aaa + _bbb * sin3Lode + _ccc * Utility::pow<2>(sin3Lode);
RankTwoTensor dkk = (_bbb + 2.0 * _ccc * sin3Lode) * dsin3Lode;
RankFourTensor d2kk = (_bbb + 2.0 * _ccc * sin3Lode) * stress.d2sin3Lode(_lode_cutoff);
for (unsigned i = 0; i < 3; ++i)
for (unsigned j = 0; j < 3; ++j)
for (unsigned k = 0; k < 3; ++k)
for (unsigned l = 0; l < 3; ++l)
d2kk(i, j, k, l) += 2.0 * _ccc * dsin3Lode(i, j) * dsin3Lode(k, l);
Real sibar2 = stress.secondInvariant();
RankTwoTensor dsibar2 = stress.dsecondInvariant();
RankFourTensor d2sibar2 = stress.d2secondInvariant();
Real denom = std::sqrt(smooth(stress) + sibar2 * Utility::pow<2>(kk));
Real denom3 = Utility::pow<3>(denom);
Real d2smooth_over_denom = d2smooth(stress) / denom;
RankTwoTensor numer_full =
0.5 * dsmooth(stress) * dmean_stress + 0.5 * dsibar2 * kk * kk + sibar2 * kk * dkk;
RankFourTensor dr_dstress = (0.5 * d2sibar2 * Utility::pow<2>(kk) + sibar2 * kk * d2kk) / denom;
for (unsigned i = 0; i < 3; ++i)
for (unsigned j = 0; j < 3; ++j)
for (unsigned k = 0; k < 3; ++k)
for (unsigned l = 0; l < 3; ++l)
{
dr_dstress(i, j, k, l) +=
0.5 * d2smooth_over_denom * dmean_stress(i, j) * dmean_stress(k, l);
dr_dstress(i, j, k, l) +=
(dsibar2(i, j) * dkk(k, l) * kk + dkk(i, j) * dsibar2(k, l) * kk +
sibar2 * dkk(i, j) * dkk(k, l)) /
denom;
dr_dstress(i, j, k, l) -= numer_full(i, j) * numer_full(k, l) / denom3;
}
return dr_dstress;
}
}
void
TensorMechanicsPlasticTensileMulti::dflowPotential_dstressV(const RankTwoTensor & stress, const Real & /*intnl*/, std::vector<RankFourTensor> & dr_dstress) const
{
stress.d2symmetricEigenvalues(dr_dstress);
}