Transport_turbulent_Prandtl.cpp

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#include <Transport_turbulent_Prandtl.h>
 
#include <Param.h>
 
Implemente_instanciable(Transport_turbulent_Prandtl, "Transport_turbulent_Prandtl", Transport_turbulent_base);
// XD type_diffusion_turbulente_multiphase_Prandtl type_diffusion_turbulente_multiphase_deriv Prandtl BRACE Scalar
// XD_CONT Prandtl model.
 
Sortie& Transport_turbulent_Prandtl::printOn(Sortie& os) const
{
  return os;
}
 
Entree& Transport_turbulent_Prandtl::readOn(Entree& is)
{
  Param param(que_suis_je());
  param.ajouter("Pr_t|Prandtl_turbulent", &prdl_); // XD_ADD_P floattant
  // XD_CONT Prandtl's model constant. By default it is se to 0.9.
  param.lire_avec_accolades_depuis(is);
 
  if (prdl_ < 0.) Process::exit("The turbulent Prandlt's number must be positive !");
  else Cerr << "Transport_turbulent_Prandtl model used with turbulent Prandlt's number = " << prdl_ << finl;
 
  return is;
}
 
// Modifier_nu modifies mu: alpha and rho are part of the term
void Transport_turbulent_Prandtl::modifier_mu(const Convection_Diffusion_std& eq, const Viscosite_turbulente_base& visc_turb, DoubleTab& nu) const
{
  const DoubleTab& mu0 = eq.diffusivite_pour_transport().passe(), &nu0 = eq.diffusivite_pour_pas_de_temps().passe(); //molecular viscosities
 
  int nl = nu.dimension(0), N = nu.dimension(1), D = dimension;
 
  //turbulent kinematic viscosity
  DoubleTrav nu_t(nl, N);
  visc_turb.eddy_viscosity(nu_t);
 
  //formula to convert nu to mu: mu0 * sigma_ * nu_t / nu0
  if (nu.nb_dim() == 2)
    for (int i = 0; i < nl; i++)
      for (int n = 0; n < 1; n++) //isotrope
        nu(i, n) += mu0(i, n) * nu_t(i, n) / nu0(i, n) / prdl_;
  else if (nu.nb_dim() == 3)
    for (int i = 0; i < nl; i++)
      for (int n = 0; n < N; n++)
        for (int d = 0; d < D; d++) //anisotrope diagonal
          nu(i, n, d) += mu0(i, n) * nu_t(i, n) / nu0(i, n) / prdl_;
  else
    for (int i = 0; i < nl; i++)
      for (int n = 0; n < N; n++)
        for (int d = 0; d < D; d++) //anisotrope complet
          nu(i, n, d, d) += mu0(i, n) * nu_t(i, n) / nu0(i, n) / prdl_;
}