parameterized_solid_material.hpp

Go to the documentation of this file.

// Copyright (c) 2019-2024, Lawrence Livermore National Security, LLC and
// other Serac Project Developers. See the top-level LICENSE file for
// details.
//
// SPDX-License-Identifier: (BSD-3-Clause)
 
#pragma once
 
#include "serac/numerics/functional/functional.hpp"
#include "serac/physics/materials/solid_material.hpp"
 
namespace serac::solid_mechanics {
 
template <int dim>
struct ParameterizedLinearIsotropicSolid {
  using State = Empty;  
 
  template <typename DispGradType, typename BulkType, typename ShearType>
  SERAC_HOST_DEVICE auto operator()(State& /*state*/, const DispGradType& du_dX, const BulkType& DeltaK,
                                    const ShearType& DeltaG) const
  {
    constexpr auto I       = Identity<dim>();
    auto           K       = K0 + get<0>(DeltaK);
    auto           G       = G0 + get<0>(DeltaG);
    auto           lambda  = K - (2.0 / dim) * G;
    auto           epsilon = 0.5 * (transpose(du_dX) + du_dX);
    return lambda * tr(epsilon) * I + 2.0 * G * epsilon;
  }
 
  static constexpr int numParameters() { return 2; }
 
  double density;  
  double K0;       
  double G0;       
};
 
template <int dim>
struct ParameterizedNeoHookeanSolid {
  using State = Empty;  
 
  template <typename DispGradType, typename BulkType, typename ShearType>
  SERAC_HOST_DEVICE auto operator()(State& /*state*/, const DispGradType& du_dX, const BulkType& DeltaK,
                                    const ShearType& DeltaG) const
  {
    using std::log1p;
    constexpr auto I         = Identity<dim>();
    auto           K         = K0 + get<0>(DeltaK);
    auto           G         = G0 + get<0>(DeltaG);
    auto           lambda    = K - (2.0 / dim) * G;
    auto           B_minus_I = du_dX * transpose(du_dX) + transpose(du_dX) + du_dX;
    auto           J_minus_1 = detApIm1(du_dX);
    auto           J         = J_minus_1 + 1;
    return (lambda * log1p(J_minus_1) * I + G * B_minus_I) / J;
  }
 
  static constexpr int numParameters() { return 2; }
 
  double density;  
  double K0;       
  double G0;       
};
 
template <typename... T>
struct underlying_scalar {
  using type = decltype((T{} + ...));  
};
 
struct ParameterizedJ2Nonlinear {
  static constexpr int    dim = 3;      
  static constexpr double tol = 1e-10;  
 
  double E;        
  double nu;       
  double density;  
 
  struct State {
    tensor<double, dim, dim> plastic_strain;              
    double                   accumulated_plastic_strain;  
  };
 
  template <typename DisplacementGradient, typename YieldStrength, typename SaturationStrength, typename StrainConstant>
  auto operator()(State& state, const DisplacementGradient du_dX, const YieldStrength sigma_y,
                  const SaturationStrength sigma_sat, const StrainConstant strain_constant) const
  {
    // The output stress tensor should use dual numbers if any of the parameters are dual.
    // This slightly ugly trick to accomplishes that by picking up any dual number types
    // from the parameters into the dummy variable "one".
    // Another possiblity would be to cast the results to the correct type at the end, which
    // would avoid doing any unneccessary arithmetic with dual numbers.
    using T = typename underlying_scalar<YieldStrength, SaturationStrength, StrainConstant>::type;
    T one;
    one = 1.0;
 
    using std::sqrt;
    constexpr auto I       = Identity<dim>();
    const double   K       = E / (3.0 * (1.0 - 2.0 * nu));
    const double   G       = 0.5 * E / (1.0 + nu);
    const double   rel_tol = tol * get_value(sigma_y);
 
    // (i) elastic predictor
    auto el_strain = sym(du_dX) - state.plastic_strain;
    auto p         = K * tr(el_strain);
    auto s         = 2.0 * G * dev(el_strain) * one;  // multiply by "one" to get type correct for parameter derivatives
    auto q         = sqrt(1.5) * norm(s);
 
    // (ii) admissibility
    const double eqps_old = state.accumulated_plastic_strain;
    auto         residual = [eqps_old, G, *this](auto delta_eqps, auto trial_mises, auto y0, auto ysat, auto e0) {
      auto Y = this->flow_strength(eqps_old + delta_eqps, y0, ysat, e0);
      return trial_mises - 3.0 * G * delta_eqps - Y;
    };
    if (residual(0.0, get_value(q), get_value(sigma_y), get_value(sigma_sat), get_value(strain_constant)) > rel_tol) {
      // (iii) return mapping
 
      // Note the tolerance for convergence is the same as the tolerance for entering the return map.
      // This ensures that if the constitutive update is called again with the updated internal
      // variables, the return map won't be repeated.
      ScalarSolverOptions opts{.xtol = 0, .rtol = rel_tol, .max_iter = 25};
      double              lower_bound = 0.0;
      double upper_bound = (get_value(q) - flow_strength(eqps_old, get_value(sigma_y), get_value(sigma_sat),
                                                         get_value(strain_constant))) /
                           (3.0 * G);
      auto [delta_eqps, status] =
          solve_scalar_equation(residual, 0.0, lower_bound, upper_bound, opts, q, sigma_y, sigma_sat, strain_constant);
 
      auto Np = 1.5 * s / q;
 
      s = s - 2.0 * G * delta_eqps * Np;
      state.accumulated_plastic_strain += get_value(delta_eqps);
      state.plastic_strain += get_value(delta_eqps) * get_value(Np);
    }
 
    return s + p * I;
  }
 
  template <typename PlasticStrain, typename YieldStrength, typename SaturationStrength, typename StrainConstant>
  auto flow_strength(const PlasticStrain accumulated_plastic_strain, const YieldStrength sigma_y,
                     const SaturationStrength sigma_sat, const StrainConstant strain_constant) const
  {
    using std::exp;
    return sigma_sat - (sigma_sat - sigma_y) * exp(-accumulated_plastic_strain / strain_constant);
  };
};
 
}  // namespace serac::solid_mechanics