[nickmai123]

Hi Everyone,

I'm trying to solve the following coupled system with OpenFOAM:

A)
B)

I've realized that you can use matrices to represent the switch and declare a tensor as follows:

tensor j(0,1,0,-1,0,0,0,0,0);
solve
{
   fvm::ddt(U)
 ==
   j & fvm::laplacian(U)
}

However, the inner product is not defined between a primitive tensor and a fvMatrix. Does anyone here have any recommendations? I need to use the fvm:: namespace because it does implicit discretization of the Laplacian.

Thanks for reading!

EDIT: I've found coupledFvScalarMatrix in the OpenFOAM 1.6-ext version. However, from the examples that I see, it seems as though it is intended for multiple domains/meshes. Is it possible to use the coupledFvScalarMatrix for a single mesh? If so, then my problem is solved.

--Nick

[chegdan]

What about the blockCoupledScalarTransportFoam? I know that is on the same mesh, with two equations coupled to eachother through a source term

fvScalarMatrix TEqn
            (
                fvm::div(phi, T)
              - fvm::laplacian(DT, T)
             ==
                 alpha*Ts
              - fvm::Sp(alpha, T)
            );

            TEqn.relax();

            fvScalarMatrix TsEqn
            (
              - fvm::laplacian(DTs, Ts)
             ==
                 alpha*T
              - fvm::Sp(alpha, Ts)
            );

With some additional methods to form a block matrix. Maybe that will help.

Dan

[alberto]

Hi,

there is a coupled solver under development in -extend, as pointed out in comment 2 (warning: it is a bit complicated at a first glance).

However, you could define j as a volTensorField, and initialise it with your value of j.

 volTensorField j
 (
    IOobject
    (
        "j",
        runTime.timeName(),
        mesh,
        IOobject::NO_READ,
        IOobject::NO_WRITE
    ),
    mesh,
    dimensionedTensor("jTensor", dimless, Foam::Tensor(0,1,0,-1,0,0,0,0,0))
 );

where "dimless" should become

dimensionSet(.....)

if the tensor has dimensional units. Keep in mind however that the solution won't be coupled but sequential: meaning component by component.

Best,

[Tron]

Hi!

I am trying to implement a solver for the following two coupled equations:

Equation 1: laplacian(D1, phi_real) - laplacian(D2, phi_img) = 0
Equation 2: laplacian(D1, phi_img) + laplacian(D2, phi_real) = 0

First, I implemented a segregated version:
solve( fvm::laplacian(D1, phi_real) - fvc::laplacian(D2, phi_img));
solve( fvm::laplacian(D1, phi_img) + fvc::laplacian(D2, phi_real));
which seems to work for weakly couplings. Naturally, this approach is rather useless if the coupling grows stronger.

Hence, I had a look at 1.6.-ext's solver "blockCoupledScalarTransportFoam". I guess I understand the main idea of it. I think one of the critical parts is the manipulation of the off-diagonal elements and the block source in order to create the correctly coupled system which looks like that in blockCoupledScalarTransportFoam.C:

forAll(d, i)
{
d[i](0,1) = -alpha.value()*mesh.V()[i];
d[i](1,0) = -alpha.value()*mesh.V()[i];

blockB[i][0] -= alpha.value()*blockX[i][1]*mesh.V()[i];
blockB[i][1] -= alpha.value()*blockX[i][0]*mesh.V()[i];
}

The above approach is rather simple for a coupling of the equations via the scalar "alpha". However, can something similar also be done if the coupling is done via an operator such as laplacian()? I tried to figure that out, but I am stuck. Any helpful comments would be very appreciated.

Cheers,
Christian

[tiat]

hi,

is there anybody still following this topic?

i'm having exactly the same interests as christian has pointed out. The blockCoupledScalarTransportFoam is very understandable for the idea of block matrix construction. However, when it comes to the coupling of transport terms (like grad(p) in the momentum equation, not as simple as the source term coupling in the blockCoupledScalarTransportFoam case), it is hard to construct the block because no implict gradient scheme is available

does anyone have idea about a fvm::grad() scheme?

[Tron]

Hi Tian,

Originally Posted by tiat

is there anybody still following this topic?

Yes, I do. At least I did. I managed to solve my problem. If my memory servers me right then I wrote a solver that could solve the following coupled equations
grad * (sigma * grad(phi_real)) - grad * ((E0*Er*w) * grad(phi_imag)) = 0
grad * (sigma * grad(phi_imag)) + grad * ((E0*Er*w) * grad(phi_real)) = 0

using the following code:

#include "fvCFD.H"
#include "fieldTypes.H"
#include "Time.H"
#include "fvMesh.H"

#include "blockLduSolvers.H"
#include "VectorNFieldTypes.H"
#include "volVectorNFields.H"
#include "blockVectorNMatrices.H"

#include "blockMatrixTools.H"

// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //

int main(int argc, char *argv[])
{

# include "setRootCase.H"
# include "createTime.H"
# include "createMesh.H"
# include "createFields.H"

// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //

// # include "CourantNo.H"
for (runTime++; !runTime.end(); runTime++)
{
Info<< "Time = " << runTime.timeName() << nl << endl;

# include "readSIMPLEControls.H"

for (int nonOrth=0; nonOrth<=nNonOrthCorr; nonOrth++)
{
fvScalarMatrix phi_realEqn
(
- fvm::laplacian(EpsilonTimesAngVel, phi_real)
);

phi_realEqn.relax();

fvScalarMatrix phi_realEqn2
(
- fvm::laplacian(Sigma, phi_real)
);

phi_realEqn2.relax();

fvScalarMatrix phi_imgEqn
(
- fvm::laplacian(EpsilonTimesAngVel, phi_img)
);

phi_imgEqn.relax();

fvScalarMatrix phi_imgEqn2
(
- fvm::laplacian(Sigma, phi_img)
);

phi_imgEqn2.relax();

// Prepare block system
BlockLduMatrix<vector2> blockM(mesh);
BlockLduMatrix<vector2> blockM2(mesh);

// Grab block diagonal and set it to zero
Field<tensor2>& d = blockM.diag().asSquare();
d = tensor2::zero;
Field<tensor2>& d2 = blockM2.diag().asSquare();
d2 = tensor2::zero;

// Grab linear off-diagonal and set it to zero
Field<tensor2>& u = blockM.upper().asSquare();
Field<tensor2>& l = blockM.lower().asSquare();
u = tensor2::zero;
l = tensor2::zero;
Field<tensor2>& u2 = blockM2.upper().asSquare();
Field<tensor2>& l2 = blockM2.lower().asSquare();
u2 = tensor2::zero;
l2 = tensor2::zero;

// forAll(u, j)
// {
// u[j](0,0) = 0.0;
// u[j](1,0) = 0.0;
// u[j](0,1) = 0.0;
// u[j](1,1) = 0.0;
// u2[j](0,0) = 0.0;
// u2[j](1,0) = 0.0;
// u2[j](0,1) = 0.0;
// u2[j](1,1) = 0.0;
// }

// forAll(l, j)
// {
// l[j](0,0) = 0.0;
// l[j](1,0) = 0.0;
// l[j](0,1) = 0.0;
// l[j](1,1) = 0.0;
// l2[j](0,0) = 0.0;
// l2[j](1,0) = 0.0;
// l2[j](0,1) = 0.0;
// l2[j](1,1) = 0.0;
// }

vector2Field& blockX = blockT.internalField();
vector2Field& blockX2 = blockT2.internalField();
vector2Field blockB(mesh.nCells(), vector2::zero);
vector2Field blockB2(mesh.nCells(), vector2::zero);

//- Inset equations into block Matrix
blockMatrixTools::insertEquation(0, phi_realEqn, blockM, blockX, blockB);
blockMatrixTools::insertEquation(1, phi_imgEqn, blockM, blockX, blockB);
blockMatrixTools::insertEquation(0, phi_realEqn2, blockM2, blockX2, blockB2);
blockMatrixTools::insertEquation(1, phi_imgEqn2, blockM2, blockX2, blockB2);

forAll(d, i)
{
d[i](0,1) = d2[i](1,1);
d[i](1,0) = -d2[i](0,0);
blockB[i][0] += blockB2[i][1];
blockB[i][1] -= blockB2[i][0];
}

forAll(u, j )
{
u[j](0,1) = u2[j](1,1);
u[j](1,0) = -u2[j](0,0);
}

forAll(l, j )
{
l[j](0,1) = l2[j](1,1);
l[j](1,0) = -l2[j](0,0);
}

//- Block coupled solver call
BlockSolverPerformance<vector2> solverPerf =
BlockLduSolver<vector2>::New
(
word("blockVar"),
blockM,
mesh.solver("blockVar")
)->solve(blockX, blockB);

solverPerf.print();

// Retrieve solution
blockMatrixTools::blockRetrieve(0, phi_real.internalField(), blockX);
blockMatrixTools::blockRetrieve(1, phi_img.internalField(), blockX);

phi_real.correctBoundaryConditions();
phi_img.correctBoundaryConditions();
}

volVectorField gradPhi_real = fvc::grad(phi_real);
volVectorField gradPhi_img = fvc::grad(phi_img);

# include "write.H"
}

Info<< "End\n" << endl;

return(0);
}

I do not remember any details anymore. However, I remember that the solver worked nicely.

I hope this helps,
Christian

[tiat]

hi, christian,

thanks soooo much for your kind reply!
i understand your code generally, but i just have a question, in my equation, the coupling term is the gradient of p (in your equation, the coupling is the laplacian, and luckily OpenFOAM has the fvm::laplacian(), but they don't have fvm::grad()...that's my big problem!).

do you also have any idea about this?

[Tron]

Originally Posted by tiat

do you also have any idea about this?

Unfortunately not. It is quite a while ago and I didn't work on this project since then. Sorry.

[tiat]

hi, chritian,

thanks all the same

Tian

[yhaomin2007]

HI, All

As I read your guys' reply, you are couple two equations maximum. Is there any example that we can couple more equations? like 3 or 4?

thank you in advance

[alisina-s]

Originally Posted by Tron

Hi Tian,


Yes, I do. At least I did. I managed to solve my problem. If my memory servers me right then I wrote a solver that could solve the following coupled equations
grad * (sigma * grad(phi_real)) - grad * ((E0*Er*w) * grad(phi_imag)) = 0
grad * (sigma * grad(phi_imag)) + grad * ((E0*Er*w) * grad(phi_real)) = 0

using the following code:

#include "fvCFD.H"
#include "fieldTypes.H"
#include "Time.H"
#include "fvMesh.H"

#include "blockLduSolvers.H"
#include "VectorNFieldTypes.H"
#include "volVectorNFields.H"
#include "blockVectorNMatrices.H"

#include "blockMatrixTools.H"

// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //

int main(int argc, char *argv[])
{

# include "setRootCase.H"
# include "createTime.H"
# include "createMesh.H"
# include "createFields.H"

// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //

// # include "CourantNo.H"
for (runTime++; !runTime.end(); runTime++)
{
Info<< "Time = " << runTime.timeName() << nl << endl;

# include "readSIMPLEControls.H"

for (int nonOrth=0; nonOrth<=nNonOrthCorr; nonOrth++)
{
fvScalarMatrix phi_realEqn
(
- fvm::laplacian(EpsilonTimesAngVel, phi_real)
);

phi_realEqn.relax();

fvScalarMatrix phi_realEqn2
(
- fvm::laplacian(Sigma, phi_real)
);

phi_realEqn2.relax();

fvScalarMatrix phi_imgEqn
(
- fvm::laplacian(EpsilonTimesAngVel, phi_img)
);

phi_imgEqn.relax();

fvScalarMatrix phi_imgEqn2
(
- fvm::laplacian(Sigma, phi_img)
);

phi_imgEqn2.relax();

// Prepare block system
BlockLduMatrix<vector2> blockM(mesh);
BlockLduMatrix<vector2> blockM2(mesh);

// Grab block diagonal and set it to zero
Field<tensor2>& d = blockM.diag().asSquare();
d = tensor2::zero;
Field<tensor2>& d2 = blockM2.diag().asSquare();
d2 = tensor2::zero;

// Grab linear off-diagonal and set it to zero
Field<tensor2>& u = blockM.upper().asSquare();
Field<tensor2>& l = blockM.lower().asSquare();
u = tensor2::zero;
l = tensor2::zero;
Field<tensor2>& u2 = blockM2.upper().asSquare();
Field<tensor2>& l2 = blockM2.lower().asSquare();
u2 = tensor2::zero;
l2 = tensor2::zero;

// forAll(u, j)
// {
// u[j](0,0) = 0.0;
// u[j](1,0) = 0.0;
// u[j](0,1) = 0.0;
// u[j](1,1) = 0.0;
// u2[j](0,0) = 0.0;
// u2[j](1,0) = 0.0;
// u2[j](0,1) = 0.0;
// u2[j](1,1) = 0.0;
// }

// forAll(l, j)
// {
// l[j](0,0) = 0.0;
// l[j](1,0) = 0.0;
// l[j](0,1) = 0.0;
// l[j](1,1) = 0.0;
// l2[j](0,0) = 0.0;
// l2[j](1,0) = 0.0;
// l2[j](0,1) = 0.0;
// l2[j](1,1) = 0.0;
// }

vector2Field& blockX = blockT.internalField();
vector2Field& blockX2 = blockT2.internalField();
vector2Field blockB(mesh.nCells(), vector2::zero);
vector2Field blockB2(mesh.nCells(), vector2::zero);

//- Inset equations into block Matrix
blockMatrixTools::insertEquation(0, phi_realEqn, blockM, blockX, blockB);
blockMatrixTools::insertEquation(1, phi_imgEqn, blockM, blockX, blockB);
blockMatrixTools::insertEquation(0, phi_realEqn2, blockM2, blockX2, blockB2);
blockMatrixTools::insertEquation(1, phi_imgEqn2, blockM2, blockX2, blockB2);

forAll(d, i)
{
d[i](0,1) = d2[i](1,1);
d[i](1,0) = -d2[i](0,0);
blockB[i][0] += blockB2[i][1];
blockB[i][1] -= blockB2[i][0];
}

forAll(u, j )
{
u[j](0,1) = u2[j](1,1);
u[j](1,0) = -u2[j](0,0);
}

forAll(l, j )
{
l[j](0,1) = l2[j](1,1);
l[j](1,0) = -l2[j](0,0);
}

//- Block coupled solver call
BlockSolverPerformance<vector2> solverPerf =
BlockLduSolver<vector2>::New
(
word("blockVar"),
blockM,
mesh.solver("blockVar")
)->solve(blockX, blockB);

solverPerf.print();

// Retrieve solution
blockMatrixTools::blockRetrieve(0, phi_real.internalField(), blockX);
blockMatrixTools::blockRetrieve(1, phi_img.internalField(), blockX);

phi_real.correctBoundaryConditions();
phi_img.correctBoundaryConditions();
}

volVectorField gradPhi_real = fvc::grad(phi_real);
volVectorField gradPhi_img = fvc::grad(phi_img);

# include "write.H"
}

Info<< "End\n" << endl;

return(0);
}

I do not remember any details anymore. However, I remember that the solver worked nicely.

I hope this helps,
Christian

Hi christan
In which version of openfoam you compiled your solver?
I want to solve some coupled transport equation and some one suggested me the blockCoupledScalarTransportFoam.C that is similar to your solver and I know this just work in extended version 3 and higher and not in version 2.2

[Tron]

Hello!

Well, that was a long long time ago when I worked on this solver I just checked my source code archive: I used OpenFoam-1.6-ext for this project.

Christian

[alisina-s]

Thanks christian

[alisina-s]

Originally Posted by alberto

Hi,

there is a coupled solver under development in -extend, as pointed out in comment 2 (warning: it is a bit complicated at a first glance).

However, you could define j as a volTensorField, and initialise it with your value of j.

 volTensorField j
 (
    IOobject
    (
        "j",
        runTime.timeName(),
        mesh,
        IOobject::NO_READ,
        IOobject::NO_WRITE
    ),
    mesh,
    dimensionedTensor("jTensor", dimless, Foam::Tensor(0,1,0,-1,0,0,0,0,0))
 );

where "dimless" should become

dimensionSet(.....)

if the tensor has dimensional units. Keep in mind however that the solution won't be coupled but sequential: meaning component by component.

Best,

Hi
I have the same problem somehow
I want to solve
dT/dt +d(Uk)/dx =0
dk/dt +d(UT)/dx =0
that are coupled
and I have to use some tensors also
thanks for the reply but in
dimensionedTensor("jTensor", dimless, Foam::Tensor(0,1,0,-1,0,0,0,0,0)) what is jTensor?
because i have seen "0" somewhere
I sthe "0" means 0 directory?

[alisina-s]

Does anyone still following this topic?
I want to solve a coupled equation
dT/dt + d/dx(Uk) = 0
dk/dt + d/dx(UT) = 0
for solving that
volTensorField j
(
IOobject
(
"j",
runTime.timeName(),
mesh,
IOobject::NO_READ,
IOobject::NO_WRITE
),
mesh,
dimensionedTensor( "jTensor", dimless,tensor(0,-1,0,1,0,0,0,0,0) )
);
and solving
fvVectorMatrix TEqn
(
fvm::ddt(f)
==
( j & fvc::div(phi,f) )
);

TEqn.solve();
runTime.write();
and defined f as


volVectorField f
(
IOobject
(
"f",
runTime.timeName(),
mesh,
IOobject::MUST_READ,
IOobject::AUTO_WRITE
),
mesh

);

forAll(f,I)
{
f[I].component(0)=T[I];
f[I].component(1)=kappa[I];
f[I].component(2)=0;
}

my code compiled correctly but my results are unexpected
I am in doubt with f,I mean I am not sure what kind of boundary conditions I have to implement for a vectorfield that including two scalarfield(in this case T and kappa)

[roozbeh_s]

hello everyone,
is there anybody still following this topic?

I want to program the following PDE.:

d2dt(T)=cost1*laplacian(T)+const2*ddt(laplacian(T) ),

I think I should extract two coupled PDEs, ie.

eq1=laplacian(T)
d2dt(T)=cost1*eq1+const2*ddt(eq1)

Is it true or not? and how to program it in OpenFoam?

regards,
Roozbeh