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/*---------------------------------------------------------------------------*\
========= |
\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
\\ / O peration | Website: https://openfoam.org
\\ / A nd | Copyright (C) 2011-2026 OpenFOAM Foundation
\\/ 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 3 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, see <http://www.gnu.org/licenses/>.
\*---------------------------------------------------------------------------*/
#include "FreeStream.H"
#include "constants.H"
#include "triPointRef.H"
#include "tetIndices.H"
#include "standardNormal.H"
#include "meshSearch.H"
using namespace Foam::constant::mathematical;
// * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
template<class CloudType>
Foam::FreeStream<CloudType>::FreeStream
(
const dictionary& dict,
CloudType& cloud
)
:
InflowBoundaryModel<CloudType>(dict, cloud, typeName),
patches_(),
moleculeTypeIds_(),
numberDensities_(),
particleFluxAccumulators_()
{
// Identify which patches to use
DynamicList<label> patches;
forAll(cloud.mesh().poly().boundary(), p)
{
const polyPatch& patch = cloud.mesh().poly().boundary()[p];
if (isType<polyPatch>(patch))
{
patches.append(p);
}
}
patches_.transfer(patches);
const dictionary& numberDensitiesDict
(
this->typeDict().subDict("numberDensities")
);
List<word> molecules(numberDensitiesDict.toc());
// Initialise the particleFluxAccumulators_
particleFluxAccumulators_.setSize(patches_.size());
forAll(patches_, p)
{
const polyPatch& patch = cloud.mesh().poly().boundary()[patches_[p]];
particleFluxAccumulators_[p] = List<Field<scalar>>
(
molecules.size(),
Field<scalar>(patch.size(), 0.0)
);
}
moleculeTypeIds_.setSize(molecules.size());
numberDensities_.setSize(molecules.size());
forAll(molecules, i)
{
numberDensities_[i] =
numberDensitiesDict.lookup<scalar>(molecules[i]);
moleculeTypeIds_[i] = findIndex(cloud.typeIdList(), molecules[i]);
if (moleculeTypeIds_[i] == -1)
{
FatalErrorInFunction
<< "typeId " << molecules[i] << "not defined in cloud." << nl
<< abort(FatalError);
}
}
numberDensities_ /= cloud.nParticle();
}
// * * * * * * * * * * * * * * * * Destructor * * * * * * * * * * * * * * * //
template<class CloudType>
Foam::FreeStream<CloudType>::~FreeStream()
{}
// * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
template<class CloudType>
void Foam::FreeStream<CloudType>::topoChange()
{
CloudType& cloud(this->owner());
const polyMesh& mesh(cloud.mesh());
forAll(patches_, p)
{
label patchi = patches_[p];
const polyPatch& patch = mesh.boundary()[patchi];
List<Field<scalar>>& pFA = particleFluxAccumulators_[p];
forAll(pFA, facei)
{
pFA[facei].setSize(patch.size(), 0);
}
}
}
template<class CloudType>
void Foam::FreeStream<CloudType>::inflow()
{
CloudType& cloud(this->owner());
const polyMesh& mesh = cloud.mesh();
const meshSearch& searchEngine = meshSearch::New(mesh);
const scalar deltaT = mesh.time().deltaTValue();
randomGenerator& rndGen = cloud.rndGen();
distributions::standardNormal& stdNormal = cloud.stdNormal();
scalar sqrtPi = sqrt(pi);
label particlesInserted = 0;
const volScalarField::BoundaryField& boundaryT
(
cloud.boundaryT().boundaryField()
);
const volVectorField::BoundaryField& boundaryU
(
cloud.boundaryU().boundaryField()
);
label nLocateBoundaryHits = 0;
forAll(patches_, p)
{
label patchi = patches_[p];
const polyPatch& patch = mesh.boundary()[patchi];
// Add mass to the accumulators. negative face area dotted with the
// velocity to point flux into the domain.
// Take a reference to the particleFluxAccumulator for this patch
List<Field<scalar>>& pFA = particleFluxAccumulators_[p];
forAll(pFA, i)
{
label typeId = moleculeTypeIds_[i];
scalar mass = cloud.constProps(typeId).mass();
if (min(boundaryT[patchi].field()) < small)
{
FatalErrorInFunction
<< "Zero boundary temperature detected, check boundaryT "
<< "condition." << nl
<< nl << abort(FatalError);
}
scalarField mostProbableSpeed
(
cloud.maxwellianMostProbableSpeed
(
boundaryT[patchi],
mass
)
);
// Dotting boundary velocity with the face unit normal
// (which points out of the domain, so it must be
// negated), dividing by the most probable speed to form
// molecularSpeedRatio * cosTheta
scalarField sCosTheta
(
(boundaryU[patchi] & -patch.faceAreas()/patch.magFaceAreas())
/ mostProbableSpeed
);
// From Bird eqn 4.22
pFA[i] +=
patch.magFaceAreas()*numberDensities_[i]*deltaT
*mostProbableSpeed
*(
exp(-sqr(sCosTheta)) + sqrtPi*sCosTheta*(1 + erf(sCosTheta))
)
/(2.0*sqrtPi);
}
const pointField::subField patchFaceCentres = patch.faceCentres();
const scalarField::subField patchMagFaceAreas = patch.magFaceAreas();
forAll(patch, pFI)
{
// Loop over all faces as the outer loop to avoid calculating
// geometrical properties multiple times.
const face& f = patch[pFI];
label globalFaceIndex = pFI + patch.start();
label celli = mesh.faceOwner()[globalFaceIndex];
const vector& fC = patchFaceCentres[pFI];
scalar fA = patchMagFaceAreas[pFI];
List<tetIndices> faceTets = polyMeshTetDecomposition::faceTetIndices
(
mesh,
globalFaceIndex,
celli
);
// Cumulative triangle area fractions
List<scalar> cTriAFracs(faceTets.size(), 0.0);
scalar previousCumulativeSum = 0.0;
forAll(faceTets, triI)
{
const tetIndices& faceTetIs = faceTets[triI];
cTriAFracs[triI] =
faceTetIs.faceTri(mesh).mag()/fA
+ previousCumulativeSum;
previousCumulativeSum = cTriAFracs[triI];
}
// Force the last area fraction value to 1.0 to avoid any
// rounding/non-flat face errors giving a value < 1.0
cTriAFracs.last() = 1.0;
// Normal unit vector *negative* so normal is pointing into the
// domain
vector n = patch.faceAreas()[pFI];
n /= -mag(n);
// Wall tangential unit vector. Use the direction between the
// face centre and the first vertex in the list
vector t1 = fC - (mesh.points()[f[0]]);
t1 /= mag(t1);
// Other tangential unit vector. Rescaling in case face is not
// flat and n and t1 aren't perfectly orthogonal
vector t2 = n^t1;
t2 /= mag(t2);
scalar faceTemperature = boundaryT[patchi][pFI];
const vector& faceVelocity = boundaryU[patchi][pFI];
forAll(pFA, i)
{
scalar& faceAccumulator = pFA[i][pFI];
// Number of whole particles to insert
label nI = max(label(faceAccumulator), 0);
// Add another particle with a probability proportional to the
// remainder of taking the integer part of faceAccumulator
if ((faceAccumulator - nI) > rndGen.scalar01())
{
nI++;
}
faceAccumulator -= nI;
label typeId = moleculeTypeIds_[i];
scalar mass = cloud.constProps(typeId).mass();
for (label i = 0; i < nI; i++)
{
// Choose a triangle to insert on, based on their relative
// area
scalar triSelection = rndGen.scalar01();
// Selected triangle
label selectedTriI = -1;
forAll(cTriAFracs, triI)
{
selectedTriI = triI;
if (cTriAFracs[triI] >= triSelection)
{
break;
}
}
// Randomly distribute the points on the triangle.
const tetIndices& faceTetIs = faceTets[selectedTriI];
point p = faceTetIs.faceTri(mesh).randomPoint(rndGen);
// Velocity generation
scalar mostProbableSpeed
(
cloud.maxwellianMostProbableSpeed
(
faceTemperature,
mass
)
);
scalar sCosTheta = (faceVelocity & n)/mostProbableSpeed;
// Coefficients required for Bird eqn 12.5
scalar uNormProbCoeffA =
sCosTheta + sqrt(sqr(sCosTheta) + 2.0);
scalar uNormProbCoeffB =
0.5*
(
1.0
+ sCosTheta*(sCosTheta - sqrt(sqr(sCosTheta) + 2.0))
);
// Equivalent to the QA value in Bird's DSMC3.FOR
scalar randomScaling = 3.0;
if (sCosTheta < -3)
{
randomScaling = mag(sCosTheta) + 1;
}
scalar P = -1;
// Normalised candidates for the normal direction velocity
// component
scalar uNormal;
scalar uNormalThermal;
// Select a velocity using Bird eqn 12.5
do
{
uNormalThermal =
randomScaling*(2.0*rndGen.scalar01() - 1);
uNormal = uNormalThermal + sCosTheta;
if (uNormal < 0.0)
{
P = -1;
}
else
{
P = 2.0*uNormal/uNormProbCoeffA
*exp(uNormProbCoeffB - sqr(uNormalThermal));
}
} while (P < rndGen.scalar01());
vector U =
sqrt(physicoChemical::k.value()*faceTemperature/mass)
*(stdNormal.sample()*t1 + stdNormal.sample()*t2)
+ (t1 & faceVelocity)*t1
+ (t2 & faceVelocity)*t2
+ mostProbableSpeed*uNormal*n;
scalar Ei = cloud.equipartitionInternalEnergy
(
faceTemperature,
cloud.constProps(typeId).internalDegreesOfFreedom()
);
cloud.addNewParcel
(
searchEngine,
p,
celli,
nLocateBoundaryHits,
U,
Ei,
typeId
);
particlesInserted++;
}
}
}
}
reduce(nLocateBoundaryHits, sumOp());
if (nLocateBoundaryHits != 0)
{
WarningInFunction
<< "Freestream inflow model for cloud " << this->owner().name()
<< " did not accurately locate " << nLocateBoundaryHits
<< " particles" << endl;
}
reduce(particlesInserted, sumOp());
Info<< " Particles inserted = "
<< particlesInserted << endl;
}
// ************************************************************************* //