Merkle.C

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License
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#include "Merkle.H"
#include "addToRunTimeSelectionTable.H"
 
// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
 
namespace Foam
{
namespace cavitationModels
{
    defineTypeNameAndDebug(Merkle, 0);
    addToRunTimeSelectionTable(cavitationModel, Merkle, dictionary);
}
}
 
// * * * * * * * * * * * * * * * * Constructors  * * * * * * * * * * * * * * //
 
Foam::cavitationModels::Merkle::Merkle
(
    const dictionary& dict,
    const incompressibleTwoPhases& phases
)
:
    cavitationModel(dict, phases),
 
    UInf_("UInf", dimVelocity, dict),
    tInf_("tInf", dimTime, dict),
    Cv_("Cv", dimless, dict),
    Cc_("Cc", dimless, dict),
 
    p0_("0", pSat().dimensions(), 0.0),
 
    mcCoeff_(Cc_/(0.5*sqr(UInf_)*tInf_)),
    mvCoeff_(Cv_*rhol()/(0.5*sqr(UInf_)*tInf_*rhov()))
{
    correct();
}
 
 
// * * * * * * * * * * * * * * Member Functions  * * * * * * * * * * * * * * //
 
Foam::Pair<Foam::tmp<Foam::volScalarField::Internal>>
Foam::cavitationModels::Merkle::mDotcvAlpha() const
{
    const volScalarField::Internal& p =
        phases_.mesh().lookupObject<volScalarField>("p");
 
    return Pair<tmp<volScalarField::Internal>>
    (
        mcCoeff_*max(p - pSat(), p0_),
       -mvCoeff_*min(p - pSat(), p0_)
    );
}
 
 
Foam::Pair<Foam::tmp<Foam::volScalarField::Internal>>
Foam::cavitationModels::Merkle::mDotcvP() const
{
    const volScalarField::Internal& p =
        phases_.mesh().lookupObject<volScalarField>("p");
 
    const volScalarField::Internal limitedAlphal
    (
        min(max(alphal(), scalar(0)), scalar(1))
    );
 
    return Pair<tmp<volScalarField::Internal>>
    (
        mcCoeff_*(1.0 - limitedAlphal)*pos0(p - pSat()),
        (-mvCoeff_)*limitedAlphal*neg(p - pSat())
    );
}
 
 
void Foam::cavitationModels::Merkle::correct()
{}
 
 
bool Foam::cavitationModels::Merkle::read(const dictionary& dict)
{
    if (cavitationModel::read(dict))
    {
        dict.lookup("UInf") >> UInf_;
        dict.lookup("tInf") >> tInf_;
        dict.lookup("Cv") >> Cv_;
        dict.lookup("Cc") >> Cc_;
 
        mcCoeff_ = Cc_/(0.5*sqr(UInf_)*tInf_);
        mvCoeff_ = Cv_*rhol()/(0.5*sqr(UInf_)*tInf_*rhov());
 
        return true;
    }
    else
    {
        return false;
    }
}
 
 
// ************************************************************************* //