Reply To: Method to generate effective relaxation time as output in VTK
OpenLB – Open Source Lattice Boltzmann Code › Forums › on OpenLB › General Topics › Method to generate effective relaxation time as output in VTK › Reply To: Method to generate effective relaxation time as output in VTK
April 23, 2025 at 8:13 am
#10060
mwkim
Participant
SORRY FOR LATE UPDATE.
I resolved the issue.
Basically, Yuji’s suggestion is on the right way.
However, We should also define variables in CellStatistic.
I attached example codes.
template <typename COLLISION, typename DESCRIPTOR, typename MOMENTA, typename EQUILIBRIUM>
struct SmagorinskyEffectiveOmegaTauEffOut {
using MomentaF = typename MOMENTA::template type<DESCRIPTOR>;
using CollisionO = typename COLLISION::template type<DESCRIPTOR, MOMENTA, EQUILIBRIUM>;
template <typename CELL, typename PARAMETERS, typename V=typename CELL::value_t>
V computeEffectiveOmega(CELL& cell, PARAMETERS& parameters) any_platform {
V piNeqNormSqr { };
MomentaF().computePiNeqNormSqr(cell, piNeqNormSqr);
const V rho = MomentaF().computeRho(cell);
const V omega = parameters.template get<descriptors::OMEGA>();
const V smagorinsky = parameters.template get<collision::LES::Smagorinsky>();
V piNeqNorm = util::sqrt(piNeqNormSqr);
V preFactor = smagorinsky*smagorinsky
* descriptors::invCs2<V,DESCRIPTOR>()*descriptors::invCs2<V,DESCRIPTOR>()
* 2 * util::sqrt(2);
/// Molecular realaxation time
V tauMol = V{1} / omega;
/// Turbulent realaxation time
V tauTurb = V{0.5} * (util::sqrt(tauMol*tauMol + preFactor / rho * piNeqNorm) - tauMol);
/// Effective realaxation time
V tauEff = tauMol + tauTurb;
V tauEff_vtk = cell.template getField<descriptors::TAU_EFF>();
tauEff_vtk = tauMol + tauTurb;
cell.template setField<descriptors::TAU_EFF>(tauEff_vtk);
return V{1} / tauEff;
}
template <typename CELL, typename PARAMETERS, typename V=typename CELL::value_t>
CellStatistic<V> apply(CELL& cell, PARAMETERS& parameters) any_platform {
parameters.template set<descriptors::OMEGA>(
computeEffectiveOmega(cell, parameters));
V piNeqNormSqr { };
MomentaF().computePiNeqNormSqr(cell, piNeqNormSqr);
const V rho = MomentaF().computeRho(cell);
const V omega = parameters.template get<descriptors::OMEGA>();
const V smagorinsky = parameters.template get<collision::LES::Smagorinsky>();
V tauEff_vtk = cell.template getField<descriptors::TAU_EFF>();
V piNeqNorm = util::sqrt(piNeqNormSqr);
V preFactor = smagorinsky*smagorinsky
* descriptors::invCs2<V,DESCRIPTOR>()*descriptors::invCs2<V,DESCRIPTOR>()
* 2 * util::sqrt(2);
V tauMol = V{1} / omega;
V tauTurb = V{0.5} * (util::sqrt(tauMol*tauMol + preFactor / rho * piNeqNorm) - tauMol);
tauEff_vtk = tauMol + tauTurb;
cell.template setField<descriptors::TAU_EFF>(tauEff_vtk);
return CollisionO().apply(cell, parameters);
}
};
I hope this would be helpful for some others.
Best,
Minwoo Kim