Viscosite_turbulente_k_tau.cpp

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#include <Viscosite_turbulente_k_tau.h>
#include <Param.h>
#include <Probleme_base.h>
#include <Champ_base.h>
#include <TRUSTTab_parts.h>
 
Implemente_instanciable(Viscosite_turbulente_k_tau, "Viscosite_turbulente_k_tau", Viscosite_turbulente_base);
// XD type_diffusion_turbulente_multiphase_k_tau type_diffusion_turbulente_multiphase_deriv k_tau BRACE not_set
Sortie& Viscosite_turbulente_k_tau::printOn(Sortie& os) const
{
  return os;
}
 
Entree& Viscosite_turbulente_k_tau::readOn(Entree& is)
{
  Param param(que_suis_je());
  param.ajouter("limiter|limiteur", &limiter_); // XD_ADD_P chaine
  // XD_CONT not_set
  param.ajouter("sigma", &sigma_); // XD_ADD_P floattant
  // XD_CONT not_set
  param.ajouter("beta_k", &beta_k_); // XD_ADD_P floattant
  // XD_CONT not_set
  param.lire_avec_accolades_depuis(is);
  return is;
}
 
void Viscosite_turbulente_k_tau::eddy_viscosity(DoubleTab& nu_t) const
{
  //tout en explicite
  const DoubleTab& k = pb_->get_champ("k").passe(), &tau = pb_->get_champ("tau").passe(),
                   &nu = pb_->get_champ("viscosite_cinematique").passe();
  const int cnu = nu.dimension(0) == 1;
  //il faut que nu_t et k aient la meme localisation et que nu_t ait au moins autant de composantes que k
  assert((k.dimension(1) <= nu_t.dimension(1)));
  //on met 0 pour les composantes au-dela de k.dimension(1) (ex. : vapeur dans Pb_Multiphase)
  for (int i = 0; i < nu_t.dimension(0); i++)
    for (int n = 0; n < nu_t.dimension(1); n++)
      nu_t(i, n) = (n < k.dimension(1)) ? sigma_ * std::max(k(i, n) * tau(i, n), limiter_ * nu(!cnu * i, n)) : 0;
}
 
void Viscosite_turbulente_k_tau::reynolds_stress(DoubleTab& R_ij) const // Renvoie <u_i'u_j'>
{
  const DoubleTab& k = pb_->get_champ("k").passe(), &tau = pb_->get_champ("tau").passe(),
                   &nu = pb_->get_champ("viscosite_cinematique").passe(), &grad_u = pb_->get_champ("gradient_vitesse").passe();
  ConstDoubleTab_parts p_gu(grad_u); //en PolyMAC_MPFA, grad_u contient (nf.grad)u_i aux faces, puis (d_j u_i) aux elements
  int i, d, db, D = dimension, i_part = -1, n, N = nu.dimension(1), Nk = k.dimension(1);
  for (i = 0; i < p_gu.size(); i++)
    if (p_gu[i].get_md_vector() == R_ij.get_md_vector()) i_part = i; //on cherche une partie ayant le meme support que k
  if (i_part < 0) Process::exit("Viscosite_turbulente_k_tau : inconsistency between velocity gradient and k!");
  const DoubleTab& gu = p_gu[i_part]; //le bon tableau
  for (i = 0; i < R_ij.dimension(0); i++)
    for (n = 0; n < N; n++)
      {
        double sum_diag = 0.;
        double nut_loc = n < Nk ? std::max(k(i, n) * tau(i, n), limiter_ * nu(i, n)) : 0 ;
        for (d = 0; d < D; d++) sum_diag += gu(i, d, D * n + d) ;
        for (d = 0; d < D; d++)
          for (db = 0; db < D; db++) //on ne remplit que les phases concernees par k
            R_ij(i, n, d, db) = n < Nk ? sigma_ * (2. / 3. * (k(i, n) + nut_loc * sum_diag) * (d ==db) - nut_loc * (gu(i, d, D * n + db) + gu(i, db, D * n + d))) : 0;
      }
}
 
void Viscosite_turbulente_k_tau::k_over_eps(DoubleTab& k_sur_eps) const
{
  const DoubleTab& tau = pb_->get_champ("tau").passe();
  int i, nl = k_sur_eps.dimension(0), n, N = k_sur_eps.dimension(1), Nt = tau.dimension(1);
  assert(nl == tau.dimension(0) && Nt <= N);
  /* comme tau = 1 / omega et omega = epsilon / (k*beta_k), k / epsilon = tau/beta_k ! */
  for (i = 0; i < nl; i++)
    for (n = 0; n < N; n++) k_sur_eps(i, n) = n < Nt ? tau(i, n)/beta_k_  : 0;
}
 
void Viscosite_turbulente_k_tau::eps(DoubleTab& eps_) const
{
  const DoubleTab& tau = pb_->get_champ("tau").passe(),
                   &k = pb_->get_champ("k").passe(),
                    &nu = pb_->get_champ("viscosite_cinematique").passe();
  int i, nl = eps_.dimension(0), n, N = eps_.dimension(1), Nt = tau.dimension(1);
  assert(nl == tau.dimension(0) && Nt <= N);
  /* comme tau = 1 / omega et omega = epsilon / (k*beta_k), epsilon = beta_k_ * k / tau ! */
  for (i = 0; i < nl; i++)
    for (n = 0; n < N; n++) eps_(i, n) = beta_k_ * ( ((n < Nt) && (k(i, n)>1.e-8) ) ? k(i, n)*k(i, n)/ std::max(k(i, n) * tau(i, n), limiter_ * nu(i, n)) : 0 );
}