Program Listing for File SpaldingExplicitLawOfTheWall.C
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/*---------------------------------------------------------------------------* \
License
This file is part of libWallModelledLES.
libWallModelledLES is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
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WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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for more details.
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\*---------------------------------------------------------------------------*/
#include "SpaldingExplicitLawOfTheWall.H"
#include "dictionary.H"
#include "error.H"
#include "addToRunTimeSelectionTable.H"
#include "scalarListIOList.H"
#include "SingleCellSampler.H"
#include <boost/math/special_functions/lambert_w.hpp>
#include "helpers.H"
#if !defined(DOXYGEN_SHOULD_SKIP_THIS)
namespace Foam
{
defineTypeNameAndDebug(SpaldingExplicitLawOfTheWall, 0);
addToRunTimeSelectionTable(ExplicitLawOfTheWall, SpaldingExplicitLawOfTheWall, Dictionary);
addToRunTimeSelectionTable(ExplicitLawOfTheWall, SpaldingExplicitLawOfTheWall, TypeAndDictionary);
}
#endif
// * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
Foam::SpaldingExplicitLawOfTheWall::SpaldingExplicitLawOfTheWall
(
const scalar kappa,
const scalar B
)
:
ExplicitLawOfTheWall(),
kappa_(kappa),
B_(B),
approximant_("auto"),
p_(0),
s_(0),
nGaussians_(0),
mu_{0, 0, 0},
sigma_{0, 0, 0},
xi_{0, 0, 0}
{
constDict_.add("kappa", kappa);
constDict_.add("B", B);
setApproximantCoeffs(approximant_);
constDict_.add("approximant", approximant_);
if (debug)
{
printCoeffs();
}
}
Foam::SpaldingExplicitLawOfTheWall::SpaldingExplicitLawOfTheWall
(
const dictionary & dict
)
:
ExplicitLawOfTheWall(dict),
kappa_(constDict_.lookupOrAddDefault<scalar>("kappa", 0.4)),
B_(constDict_.lookupOrAddDefault<scalar>("B", 5.5)),
approximant_(constDict_.lookupOrAddDefault<word>("approximant", "auto")),
p_(0),
s_(0),
nGaussians_(0),
mu_{0, 0, 0},
sigma_{0, 0, 0},
xi_{0, 0, 0}
{
setApproximantCoeffs(approximant_);
constDict_.set("approximant", approximant_);
if (debug)
{
printCoeffs();
}
}
Foam::SpaldingExplicitLawOfTheWall::SpaldingExplicitLawOfTheWall
(
const word & lawName,
const dictionary & dict
)
:
SpaldingExplicitLawOfTheWall(dict)
{
}
// * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
bool Foam::SpaldingExplicitLawOfTheWall::approxEqual
(
const scalar a,
const scalar b
)
{
return mag(a - b) < 1e-4;
}
void Foam::SpaldingExplicitLawOfTheWall::setApproximantCoeffs
(
const word& approximant
)
{
word selected(approximant);
if (selected == "auto")
{
if (approxEqual(kappa_, 0.387) && approxEqual(B_, 4.21))
{
selected = "highRe";
}
else if (approxEqual(kappa_, 0.4) && approxEqual(B_, 5.5))
{
selected = "classical";
}
else
{
selected = "global";
}
}
if (selected == "highRe")
{
nGaussians_ = 3;
mu_[0] = 3.083144724251491; sigma_[0] = 2.3; xi_[0] = -0.09201260181506102;
mu_[1] = 2.362020355550757; sigma_[1] = 2.298019985567246; xi_[1] = -0.32592545933705347;
mu_[2] = 2.984943354098199; sigma_[2] = 0.5678593976861175; xi_[2] = 0.024978818026146963;
p_ = 1.1768259148434161;
s_ = 200.00359862759768;
}
else if (selected == "classical")
{
nGaussians_ = 3;
mu_[0] = 3.072995395381741; sigma_[0] = 2.886186935612637; xi_[0] = 0.2888114606063557;
mu_[1] = 2.5767807695580207; sigma_[1] = 0.9654690496618444; xi_[1] = -0.14752950593696862;
mu_[2] = 2.623363478729046; sigma_[2] = 1.8670446391015763; xi_[2] = -1.2902885484930124;
p_ = 1.1419065322343513;
s_ = 400.0;
}
else if (selected == "global")
{
nGaussians_ = 1;
mu_[0] = -1.8082*kappa_ + 0.0618*B_ + 2.4191;
sigma_[0] = 0.3866*kappa_ + 0.0666*B_ + 0.7957;
xi_[0] = -0.3558*kappa_ + 0.0386*B_ + 0.1890;
mu_[1] = 0; sigma_[1] = 0; xi_[1] = 0;
mu_[2] = 0; sigma_[2] = 0; xi_[2] = 0;
p_ = 0.1161*kappa_ + 0.0203*B_ + 1.1276;
s_ = -994.2937*kappa_ + 80.3579*B_ + 301.0408;
}
else
{
FatalErrorInFunction
<< "Unknown Spalding explicit approximant " << selected << nl
<< "Valid options are auto, highRe, classical and global."
<< abort(FatalError);
}
approximant_ = selected;
}
Foam::scalar Foam::SpaldingExplicitLawOfTheWall::CaiSagautUPlus
(
const scalar Re
) const
{
const scalar f = exp(-Re / s_);
const scalar E = exp(kappa_ * B_);
scalar uPlus = Foam::pow(f, p_) * Foam::sqrt(Re);
uPlus += Foam::pow(1 - f, p_) / kappa_
* boost::math::lambert_w0(kappa_*E*Re);
return uPlus;
}
Foam::scalar Foam::SpaldingExplicitLawOfTheWall::deltaUPlus
(
const scalar log10Re
) const
{
scalar delta = 0;
for (label i = 0; i < nGaussians_; i++)
{
delta += Helpers::gaussian(mu_[i], sigma_[i], xi_[i], log10Re);
}
return delta;
}
void Foam::SpaldingExplicitLawOfTheWall::printCoeffs() const
{
Info<< nl << "Explicit Spalding law of the wall" << nl;
Info<< token::BEGIN_BLOCK << incrIndent << nl;
Info<< indent << "kappa" << indent << kappa_ << nl;
Info<< indent << "B" << indent << B_ << nl;
Info<< indent << "approximant" << indent << approximant_ << nl;
Info<< token::END_BLOCK << nl << nl;
}
Foam::scalar Foam::SpaldingExplicitLawOfTheWall::uTau
(
const SingleCellSampler & sampler,
label index,
scalar nu
) const
{
const scalarListIOList & U = sampler.db().lookupObject<scalarListIOList>("U");
const scalar u = mag(vector(U[index][0], U[index][1], U[index][2]));
const scalar y = sampler.h()[index];
const scalar re = u * y / nu;
const scalar uPlus = CaiSagautUPlus(re) + deltaUPlus(Foam::log10(re));
return u / uPlus;
}
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //