/*---------------------------------------------------------------------------*\ ========= | \\ / F ield | foam-extend: Open Source CFD \\ / O peration | \\ / A nd | For copyright notice see file Copyright \\/ M anipulation | ------------------------------------------------------------------------------- License This file is part of foam-extend. foam-extend 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 3 of the License, or (at your option) any later version. foam-extend 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 foam-extend. If not, see . Description Linear cohesive law. \*---------------------------------------------------------------------------*/ #include "linearCohesiveLaw.H" #include "addToRunTimeSelectionTable.H" // * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * // namespace Foam { defineTypeNameAndDebug(linearCohesiveLaw, 0); addToRunTimeSelectionTable(cohesiveLaw, linearCohesiveLaw, dictionary); } // * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * // // Construct from components Foam::linearCohesiveLaw::linearCohesiveLaw ( const word& cohesiveLawName, const dictionary& dict ) : cohesiveLaw(cohesiveLawName, dict), deltaC_(2.0*GIc()/sigmaMax()) {} Foam::linearCohesiveLaw::linearCohesiveLaw ( const linearCohesiveLaw& lcl ) : cohesiveLaw(lcl), deltaC_(lcl.deltaC_) {} // * * * * * * * * * * * * * * * * Destructor * * * * * * * * * * * * * * * // Foam::linearCohesiveLaw::~linearCohesiveLaw() {} // * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * // //- Return current holding traction Foam::scalar Foam::linearCohesiveLaw::traction(scalar delta) const { if (delta > deltaC().value()) { return 0.0; } else if (delta < 0) { return sigmaMax().value(); } return sigmaMax().value()*(1.0 - delta/deltaC().value()); } // ************************************************************************* //