Ejemplo n.º 1
0
RankTwoTensor
TensorMechanicsPlasticMeanCapTC::df_dsig(const RankTwoTensor & stress, Real intnl) const
{
  const Real tr = stress.trace();
  const Real t_str = tensile_strength(intnl);
  if (tr >= t_str)
    return stress.dtrace();
  const Real c_str = compressive_strength(intnl);
  if (tr <= c_str)
    return -stress.dtrace();
  return - std::cos(M_PI * (tr - c_str) / (t_str - c_str)) * stress.dtrace();
}
RankTwoTensor
TensorMechanicsPlasticTensile::dyieldFunction_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;
    stress.dsymmetricEigenvalues(eigvals, deigvals);
    Real denom = std::sqrt(smooth(stress) + Utility::pow<2>(eigvals[2] - mean_stress));
    return dmean_stress + (0.5 * dsmooth(stress) * dmean_stress +
                           (eigvals[2] - mean_stress) * (deigvals[2] - dmean_stress)) /
                              denom;
  }
  else
  {
    // the edge-smoothed version
    Real kk = _aaa + _bbb * sin3Lode + _ccc * Utility::pow<2>(sin3Lode);
    RankTwoTensor dkk = (_bbb + 2.0 * _ccc * sin3Lode) * stress.dsin3Lode(_lode_cutoff);
    Real sibar2 = stress.secondInvariant();
    RankTwoTensor dsibar2 = stress.dsecondInvariant();
    Real denom = std::sqrt(smooth(stress) + sibar2 * Utility::pow<2>(kk));
    return dmean_stress + (0.5 * dsmooth(stress) * dmean_stress +
                           0.5 * dsibar2 * Utility::pow<2>(kk) + sibar2 * kk * dkk) /
                              denom;
  }
}
RankTwoTensor
TensorMechanicsPlasticDruckerPrager::dflowPotential_dintnl(const RankTwoTensor & stress,
                                                           Real intnl) const
{
  Real dbbb;
  donlyB(intnl, dilation, dbbb);
  return stress.dtrace() * dbbb;
}
Ejemplo n.º 4
0
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;
  }
}
Ejemplo n.º 5
0
RankFourTensor
TensorMechanicsPlasticMeanCapTC::dflowPotential_dstress(const RankTwoTensor & stress, Real intnl) const
{
  const Real tr = stress.trace();
  const Real t_str = tensile_strength(intnl);
  if (tr >= t_str)
    return RankFourTensor();
  const Real c_str = compressive_strength(intnl);
  if (tr <= c_str)
    return RankFourTensor();
  return M_PI / (t_str - c_str) * std::sin(M_PI * (tr - c_str) / (t_str - c_str)) * stress.dtrace().outerProduct(stress.dtrace());
}
Ejemplo n.º 6
0
RankTwoTensor
TensorMechanicsPlasticMeanCapTC::dflowPotential_dintnl(const RankTwoTensor & stress, Real intnl) const
{
  const Real tr = stress.trace();
  const Real t_str = tensile_strength(intnl);
  if (tr >= t_str)
    return RankTwoTensor();
  const Real c_str = compressive_strength(intnl);
  if (tr <= c_str)
    return RankTwoTensor();
  const Real dt = dtensile_strength(intnl);
  const Real dc = dcompressive_strength(intnl);
  return std::sin(M_PI * (tr - c_str) / (t_str - c_str)) * stress.dtrace() * M_PI / std::pow(t_str - c_str, 2) * ((tr - t_str) * dc - (tr - c_str) * dt);
}
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;
  }
}
RankTwoTensor
TensorMechanicsPlasticDruckerPrager::df_dsig(const RankTwoTensor & stress, Real bbb) const
{
  return 0.5 * stress.dsecondInvariant() / std::sqrt(stress.secondInvariant()) +
         stress.dtrace() * bbb;
}
Ejemplo n.º 9
0
bool
TensorMechanicsPlasticMeanCapTC::returnMap(const RankTwoTensor & trial_stress, Real intnl_old, const RankFourTensor & E_ijkl,
                                    Real ep_plastic_tolerance, RankTwoTensor & returned_stress, Real & returned_intnl,
                                    std::vector<Real> & dpm, RankTwoTensor & delta_dp, std::vector<Real> & yf,
                                    bool & trial_stress_inadmissible) const
{
  if (!(_use_custom_returnMap))
    return TensorMechanicsPlasticModel::returnMap(trial_stress, intnl_old, E_ijkl, ep_plastic_tolerance, returned_stress, returned_intnl, dpm, delta_dp, yf, trial_stress_inadmissible);

  yf.resize(1);

  Real yf_orig = yieldFunction(trial_stress, intnl_old);

  yf[0] = yf_orig;

  if (yf_orig < _f_tol)
  {
    // the trial_stress is admissible
    trial_stress_inadmissible = false;
    return true;
  }

  trial_stress_inadmissible = true;

  // In the following we want to solve
  // trial_stress - stress = E_ijkl * dpm * r   ...... (1)
  // and either
  // stress.trace() = tensile_strength(intnl)  ...... (2a)
  // intnl = intnl_old + dpm                   ...... (3a)
  // or
  // stress.trace() = compressive_strength(intnl) ... (2b)
  // intnl = intnl_old - dpm                   ...... (3b)
  // The former (2a and 3a) are chosen if
  // trial_stress.trace() > tensile_strength(intnl_old)
  // while the latter (2b and 3b) are chosen if
  // trial_stress.trace() < compressive_strength(intnl_old)
  // The variables we want to solve for are stress, dpm
  // and intnl.  We do this using a Newton approach, starting
  // with stress=trial_stress and intnl=intnl_old and dpm=0
  const bool tensile_failure = (trial_stress.trace() >= tensile_strength(intnl_old));
  const Real dirn = (tensile_failure ? 1.0 : -1.0);

  RankTwoTensor n; // flow direction, which is E_ijkl * r
  for (unsigned i = 0; i < 3; ++i)
    for (unsigned j = 0; j < 3; ++j)
      for (unsigned k = 0; k < 3; ++k)
             n(i, j) += dirn * E_ijkl(i, j, k, k);
  const Real n_trace = n.trace();

  // Perform a Newton-Raphson to find dpm when
  // residual = trial_stress.trace() - tensile_strength(intnl) - dpm * n.trace()  [for tensile_failure=true]
  // or
  // residual = trial_stress.trace() - compressive_strength(intnl) - dpm * n.trace()  [for tensile_failure=false]
  Real trial_trace = trial_stress.trace();
  Real residual;
  Real jac;
  dpm[0] = 0;
  unsigned int iter = 0;
  do {
    if (tensile_failure)
    {
      residual = trial_trace - tensile_strength(intnl_old + dpm[0]) - dpm[0] * n_trace;
      jac = -dtensile_strength(intnl_old + dpm[0]) - n_trace;
    }
    else
    {
      residual = trial_trace - compressive_strength(intnl_old - dpm[0]) - dpm[0] * n_trace;
      jac = -dcompressive_strength(intnl_old - dpm[0]) - n_trace;
    }
    dpm[0] += -residual/jac;
    if (iter > _max_iters) // not converging
      return false;
    iter++;
  } while (residual*residual > _f_tol*_f_tol);

  // set the returned values
  yf[0] = 0;
  returned_intnl = intnl_old + dirn * dpm[0];
  returned_stress = trial_stress - dpm[0] * n;
  delta_dp = dpm[0] * dirn * returned_stress.dtrace();

  return true;
}