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foam-extend4.1-coherent-io/applications/utilities/postProcessing/velocityField/Lambda2/Lambda2.C
2018-06-01 18:11:37 +02:00

87 lines
2.6 KiB
C++

/*---------------------------------------------------------------------------*\
========= |
\\ / F ield | foam-extend: Open Source CFD
\\ / O peration | Version: 4.1
\\ / A nd | Web: http://www.foam-extend.org
\\/ M anipulation | For copyright notice see file Copyright
-------------------------------------------------------------------------------
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 <http://www.gnu.org/licenses/>.
Application
Lambda2
Description
Calculates and writes the second largest eigenvalue of the sum of the
square of the symmetrical and anti-symmetrical parts of the velocity
gradient tensor.
The -noWrite option has no meaning.
\*---------------------------------------------------------------------------*/
#include "calc.H"
#include "fvc.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
void Foam::calc(const argList& args, const Time& runTime, const fvMesh& mesh)
{
IOobject Uheader
(
"U",
runTime.timeName(),
mesh,
IOobject::MUST_READ
);
if (Uheader.headerOk())
{
Info<< " Reading U" << endl;
volVectorField U(Uheader, mesh);
const volTensorField gradU(fvc::grad(U));
volTensorField SSplusWW =
(symm(gradU) & symm(gradU));
// (skew(gradU) & skew(gradU));
volScalarField Lambda2
(
IOobject
(
"Lambda2",
runTime.timeName(),
mesh,
IOobject::NO_READ,
IOobject::NO_WRITE
),
-eigenValues(SSplusWW)().component(vector::Y)
);
Info << " Writing -Lambda2" << endl;
Lambda2.write();
}
else
{
Info<< " No U" << endl;
}
Info<< "\nEnd\n" << endl;
}
// ************************************************************************* //