Ejemplo n.º 1
0
void
ComputeFiniteStrain::computeQpStrain()
{
  // inverse of _Fhat
  RankTwoTensor invFhat(_Fhat[_qp].inverse());

  // A = I - _Fhat^-1
  RankTwoTensor A(RankTwoTensor::initIdentity);
  A -= invFhat;

  // Cinv - I = A A^T - A - A^T;
  RankTwoTensor Cinv_I = A * A.transpose() - A - A.transpose();

  // strain rate D from Taylor expansion, Chat = (-1/2(Chat^-1 - I) + 1/4*(Chat^-1 - I)^2 + ...
  RankTwoTensor total_strain_increment = -Cinv_I * 0.5 + Cinv_I * Cinv_I * 0.25;

  _strain_increment[_qp] = total_strain_increment;

    if (_no_thermal_eigenstrains) //Deprecated; use ComputeThermalExpansionEigenStrains instead
    {
      if (_t_step >= 2)
          _step_one = false;

      if (_step_one)
        _strain_increment[_qp].addIa(-_thermal_expansion_coeff * (_T[_qp] - _T0));
      else
        _strain_increment[_qp].addIa(-_thermal_expansion_coeff * (_T[_qp] - _T_old[_qp]));
    }

  // Remove the Eigen strain increment
  _strain_increment[_qp] -= _stress_free_strain_increment[_qp];

  RankTwoTensor D = _strain_increment[_qp] / _dt;
  _strain_rate[_qp] = D;

  const Real a[3] = {
    invFhat(1,2) - invFhat(2,1),
    invFhat(2,0) - invFhat(0,2),
    invFhat(0,1) - invFhat(1,0)
  };

  Real q = (a[0]*a[0] + a[1]*a[1] + a[2]*a[2]) / 4.0;
  Real trFhatinv_1 = invFhat.trace() - 1.0;
  const Real p = trFhatinv_1 * trFhatinv_1 / 4.0;

  // cos theta_a
  const Real C1 = std::sqrt(p + 3.0*p*p*(1.0 - (p + q))/((p+q)*(p+q)) - 2.0*p*p*p*(1-(p+q))/((p+q)*(p+q)*(p+q)));

  Real C2;
  if (q > 0.01)
    // (1-cos theta_a)/4q
    C2 = (1.0 - C1) / (4.0 * q);
  else
    //alternate form for small q
    C2 = 0.125 + q * 0.03125 * (p*p - 12 * (p-1)) / (p*p)
          + q*q * (p - 2.0) * (p*p - 10.0 * p + 32.0) / (p*p*p)
          + q*q*q * (1104.0 - 992.0 * p + 376.0 * p*p - 72 * p*p*p + 5.0 * p*p*p*p) / (512.0*p*p*p*p);

  const Real C3 = 0.5 * std::sqrt((p * q * (3.0 - q) + p*p*p + q*q) / ((p + q) * (p + q) * (p + q))); //sin theta_a/(2 sqrt(q))

  // Calculate incremental rotation. Note that this value is the transpose of that from Rashid, 93, so we transpose it before storing
  RankTwoTensor R_incr;
  R_incr.addIa(C1);
  for (unsigned int i = 0; i < 3; ++i)
    for (unsigned int j = 0; j < 3; ++j)
      R_incr(i,j) += C2 * a[i] * a[j];

  R_incr(0,1) += C3 * a[2];
  R_incr(0,2) -= C3 * a[1];
  R_incr(1,0) -= C3 * a[2];
  R_incr(1,2) += C3 * a[0];
  R_incr(2,0) += C3 * a[1];
  R_incr(2,1) -= C3 * a[0];
  _rotation_increment[_qp] = R_incr.transpose();

  //Update strain in intermediate configuration
  _mechanical_strain[_qp] = _mechanical_strain_old[_qp] + _strain_increment[_qp];
  _total_strain[_qp] = _total_strain_old[_qp] + total_strain_increment;

  //Rotate strain to current configuration
  _mechanical_strain[_qp] = _rotation_increment[_qp] * _mechanical_strain[_qp] * _rotation_increment[_qp].transpose();
  _total_strain[_qp] = _rotation_increment[_qp] * _total_strain[_qp] * _rotation_increment[_qp].transpose();
}
Ejemplo n.º 2
0
void
FiniteStrainMaterial::computeQpStrain(const RankTwoTensor & Fhat)
{
  //Cinv - I = A A^T - A - A^T;
  RankTwoTensor A; //A = I - Fhatinv
  A.addIa(1.0);
  A -= Fhat.inverse();
  RankTwoTensor Cinv_I = A*A.transpose() - A - A.transpose();

  //strain rate D from Taylor expansion, Chat = (-1/2(Chat^-1 - I) + 1/4*(Chat^-1 - I)^2 + ...
  _strain_increment[_qp] = -Cinv_I*0.5 + Cinv_I*Cinv_I*0.25;

  /*RankTwoTensor Chat = Fhat.transpose()*Fhat;
  RankTwoTensor A = Chat;
  A.addIa(-1.0);

  RankTwoTensor B = Chat*0.25;
  B.addIa(-0.75);
  _strain_increment[_qp] = -B*A;*/

  RankTwoTensor D = _strain_increment[_qp]/_t_step;
  _strain_rate[_qp] = D;

  //Calculate rotation R_incr
  RankTwoTensor invFhat(Fhat.inverse());

  std::vector<Real> a(3);
  a[0] = invFhat(1,2) - invFhat(2,1);
  a[1] = invFhat(2,0) - invFhat(0,2);
  a[2] = invFhat(0,1) - invFhat(1,0);
  Real q = (a[0]*a[0] + a[1]*a[1] + a[2]*a[2])/4.0;
  Real trFhatinv_1 = invFhat.trace() - 1.0;
  Real p = trFhatinv_1*trFhatinv_1/4.0;
  // Real y = 1.0/((q + p)*(q + p)*(q + p));

  /*Real C1 = std::sqrt(p * (1 + (p*(q+q+(q+p))) * (1-(q+p)) * y));
  Real C2 = 0.125 + q * 0.03125 * (p*p - 12*(p-1)) / (p*p);
  Real C3 = 0.5 * std::sqrt( (p*q*(3-q) + p*p*p + q*q)*y );
  */

  Real C1 = std::sqrt(p + 3.0*p*p*(1.0 - (p + q))/((p+q)*(p+q)) - 2.0*p*p*p*(1-(p+q))/((p+q)*(p+q)*(p+q))); //cos theta_a
  Real C2 = 0.0;
  if (q > 0.01)
    C2 = (1.0 - C1)/(4.0*q); // (1-cos theta_a)/4q
  else //alternate form for small q
    C2 = 0.125 + q*0.03125*(p*p - 12*(p-1))/(p*p) + q*q*(p - 2.0)*(p*p - 10.0*p + 32.0)/(p*p*p) + q*q*q*(1104.0 - 992.0*p + 376.0*p*p - 72*p*p*p + 5.0*p*p*p*p)/(512.0*p*p*p*p);

  Real C3 = 0.5*std::sqrt((p*q*(3.0 - q) + p*p*p + q*q)/((p + q)*(p + q)*(p + q))); //sin theta_a/(2 sqrt(q))

  //Calculate incremental rotation. Note that this value is the transpose of that from Rashid, 93, so we transpose it before storing
  RankTwoTensor R_incr;
  R_incr.addIa(C1);
  for (unsigned int i=0; i<3; ++i)
    for (unsigned int j = 0; j < 3; ++j)
      R_incr(i,j) += C2*a[i]*a[j];

  R_incr(0,1) += C3*a[2];
  R_incr(0,2) -= C3*a[1];
  R_incr(1,0) -= C3*a[2];
  R_incr(1,2) += C3*a[0];
  R_incr(2,0) += C3*a[1];
  R_incr(2,1) -= C3*a[0];
  _rotation_increment[_qp] = R_incr.transpose();
}
Ejemplo n.º 3
0
void
ComputeFiniteStrain::computeQpIncrements(RankTwoTensor & total_strain_increment, RankTwoTensor & rotation_increment)
{
  switch (_decomposition_method)
  {
    case DecompMethod::TaylorExpansion:
    {
      // inverse of _Fhat
      RankTwoTensor invFhat(_Fhat[_qp].inverse());

      // A = I - _Fhat^-1
      RankTwoTensor A(RankTwoTensor::initIdentity);
      A -= invFhat;

      // Cinv - I = A A^T - A - A^T;
      RankTwoTensor Cinv_I = A * A.transpose() - A - A.transpose();

      // strain rate D from Taylor expansion, Chat = (-1/2(Chat^-1 - I) + 1/4*(Chat^-1 - I)^2 + ...
      total_strain_increment = -Cinv_I * 0.5 + Cinv_I * Cinv_I * 0.25;

      const Real a[3] = {
        invFhat(1, 2) - invFhat(2, 1),
        invFhat(2, 0) - invFhat(0, 2),
        invFhat(0, 1) - invFhat(1, 0)
      };

      Real q = (a[0] * a[0] + a[1] * a[1] + a[2] * a[2]) / 4.0;
      Real trFhatinv_1 = invFhat.trace() - 1.0;
      const Real p = trFhatinv_1 * trFhatinv_1 / 4.0;

      // cos theta_a
      const Real C1 = std::sqrt(p + 3.0 * std::pow(p, 2.0) * (1.0 - (p + q)) / std::pow(p + q, 2.0) - 2.0 * std::pow(p, 3.0) * (1.0 - (p + q)) / std::pow(p + q, 3.0));

      Real C2;
      if (q > 0.01)
        // (1-cos theta_a)/4q
        C2 = (1.0 - C1) / (4.0 * q);
      else
        //alternate form for small q
        C2 = 0.125 + q * 0.03125 * (std::pow(p, 2.0) - 12.0 * (p - 1.0)) / std::pow(p, 2.0)
              + std::pow(q, 2.0) * (p - 2.0) * (std::pow(p, 2.0) - 10.0 * p + 32.0) / std::pow(p, 3.0)
              + std::pow(q, 3.0) * (1104.0 - 992.0 * p + 376.0 * std::pow(p, 2.0) - 72.0 * std::pow(p, 3.0) + 5.0 * std::pow(p, 4.0)) / (512.0 * std::pow(p, 4.0));

      const Real C3 = 0.5 * std::sqrt((p * q * (3.0 - q) + std::pow(p, 3.0) + std::pow(q, 2.0)) / std::pow(p + q, 3.0)); //sin theta_a/(2 sqrt(q))

      // Calculate incremental rotation. Note that this value is the transpose of that from Rashid, 93, so we transpose it before storing
      RankTwoTensor R_incr;
      R_incr.addIa(C1);
      for (unsigned int i = 0; i < 3; ++i)
        for (unsigned int j = 0; j < 3; ++j)
          R_incr(i,j) += C2 * a[i] * a[j];

      R_incr(0,1) += C3 * a[2];
      R_incr(0,2) -= C3 * a[1];
      R_incr(1,0) -= C3 * a[2];
      R_incr(1,2) += C3 * a[0];
      R_incr(2,0) += C3 * a[1];
      R_incr(2,1) -= C3 * a[0];

      rotation_increment = R_incr.transpose();
      break;
    }

    case DecompMethod::EigenSolution:
    {
      std::vector<Real> e_value(3);
      RankTwoTensor e_vector, N1, N2, N3;

      RankTwoTensor Chat = _Fhat[_qp].transpose() * _Fhat[_qp];
      Chat.symmetricEigenvaluesEigenvectors(e_value, e_vector);

      const Real lambda1 = std::sqrt(e_value[0]);
      const Real lambda2 = std::sqrt(e_value[1]);
      const Real lambda3 = std::sqrt(e_value[2]);

      N1.vectorOuterProduct(e_vector.column(0), e_vector.column(0));
      N2.vectorOuterProduct(e_vector.column(1), e_vector.column(1));
      N3.vectorOuterProduct(e_vector.column(2), e_vector.column(2));

      RankTwoTensor Uhat =  N1 * lambda1 + N2 * lambda2 + N3 * lambda3;
      RankTwoTensor invUhat(Uhat.inverse());

      rotation_increment = _Fhat[_qp] * invUhat;

      total_strain_increment = N1 * std::log(lambda1) + N2 * std::log(lambda2) + N3 * std::log(lambda3);
      break;
    }

    default:
      mooseError("ComputeFiniteStrain Error: Pass valid decomposition type: TaylorExpansion or EigenSolution.");
  }
}