/*---------------------------------------------------------------------------*\ ========= | \\ / F ield | OpenFOAM: The Open Source CFD Toolbox \\ / O peration | \\ / A nd | Copyright held by original author \\/ M anipulation | ------------------------------------------------------------------------------- License This file is part of OpenFOAM. OpenFOAM is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. OpenFOAM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with OpenFOAM; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA \*---------------------------------------------------------------------------*/ #include "SinclairJacksonRadial.H" #include "addToRunTimeSelectionTable.H" // * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * // namespace Foam { defineTypeNameAndDebug(SinclairJacksonRadial, 0); addToRunTimeSelectionTable ( radialModel, SinclairJacksonRadial, dictionary ); } // * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * // Foam::SinclairJacksonRadial::SinclairJacksonRadial(const dictionary& dict) : radialModel(dict) {} // * * * * * * * * * * * * * * * * Destructor * * * * * * * * * * * * * * * // Foam::SinclairJacksonRadial::~SinclairJacksonRadial() {} // * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * // Foam::tmp Foam::SinclairJacksonRadial::g0 ( const volScalarField& alpha, const dimensionedScalar& alphaMax ) const { return 1.0/(1.0 - pow(alpha/alphaMax, 1.0/3.0)); } Foam::tmp Foam::SinclairJacksonRadial::g0prime ( const volScalarField& alpha, const dimensionedScalar& alphaMax ) const { return (-1.0/3.0)*pow(alpha/alphaMax, -2.0/3.0) /(alphaMax*sqr(1.0 - pow(alpha/alphaMax, 1.0/3.0))); } // ************************************************************************* //