81 lines
2.4 KiB
C++
81 lines
2.4 KiB
C++
/*---------------------------------------------------------------------------*\
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========= |
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\\ / F ield | foam-extend: Open Source CFD
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\\ / O peration | Version: 4.0
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\\ / A nd | Web: http://www.foam-extend.org
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\\/ M anipulation | For copyright notice see file Copyright
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-------------------------------------------------------------------------------
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License
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This file is part of foam-extend.
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foam-extend is free software: you can redistribute it and/or modify it
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under the terms of the GNU General Public License as published by the
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Free Software Foundation, either version 3 of the License, or (at your
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option) any later version.
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foam-extend is distributed in the hope that it will be useful, but
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WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with foam-extend. If not, see <http://www.gnu.org/licenses/>.
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\*---------------------------------------------------------------------------*/
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#include "LunSavageRadial.H"
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#include "addToRunTimeSelectionTable.H"
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// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
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namespace Foam
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{
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defineTypeNameAndDebug(LunSavageRadial, 0);
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addToRunTimeSelectionTable
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(
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radialModel,
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LunSavageRadial,
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dictionary
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);
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}
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// * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
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Foam::LunSavageRadial::LunSavageRadial(const dictionary& dict)
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:
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radialModel(dict)
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{}
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// * * * * * * * * * * * * * * * * Destructor * * * * * * * * * * * * * * * //
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Foam::LunSavageRadial::~LunSavageRadial()
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{}
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// * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
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Foam::tmp<Foam::volScalarField> Foam::LunSavageRadial::g0
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(
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const volScalarField& alpha,
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const dimensionedScalar& alphaMax
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) const
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{
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return pow(1.0 - alpha/alphaMax, -2.5*alphaMax);
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}
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Foam::tmp<Foam::volScalarField> Foam::LunSavageRadial::g0prime
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(
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const volScalarField& alpha,
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const dimensionedScalar& alphaMax
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) const
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{
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return 2.5*alphaMax*alpha*pow(1.0 - alpha, -1.0 - 2.5*alphaMax);
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}
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// ************************************************************************* //
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