CFD Online Discussion Forums - Canopy model implemented but Warning: ZN4Foam14incompressible8RASModel11printCoeffsEv

Hi all,

I have just implemented a generic canopy model over OF2.1.1 based on kEpsilon turbulence model ( 4 parameters controls the type of canopy model) based on the work of Mochida and others. The solver simpleFoam has been also modified to take into account the modification over U equation.

Until now the solver runs correctly and the results looks fine when comparing with the benchmarking of Mochida. It can runs on serial or parallel but when I run "blockMesh" or "reconstructPar" or whatever utility different to the solver I always receive the following warning:

--> FOAM Warning :
From function dlOpen(const fileName&, const bool)
in file POSIX.C at line 1175
dlopen error : /home/mmontero/OpenFOAM/mmontero-2.1.1/platforms/linux64Gcc45DPOpt/lib/libmyIncompressibleRASModel.so: undefined symbol: _ZN4Foam14incompressible8RASModel11printCoeffsEv
--> FOAM Warning :
From function dlLibraryTable::open(const fileName&, const bool)
in file db/dynamicLibrary/dlLibraryTable/dlLibraryTable.C at line 96
could not load "libmyIncompressibleRASModel.so"

I think that the problem is located and it is because there are 4 new parameters and 2 new volScalarFields (canopyDensity and canopyLeaf) but RASModel.C/H does not recognize them.

.H

Code:

            const volScalarField canopyDensity_;

            const volScalarField canopyLeaf_;

Code:

    canopyDensity_

    (

        IOobject

        (

            "canopyDensity",

            runTime_.timeName(),

            mesh_,

            IOobject::READ_IF_PRESENT,

            IOobject::AUTO_WRITE

        ),

        mesh_

    ),



    canopyLeaf_

    (

        IOobject

        (

            "canopyLeaf",

            runTime_.timeName(),

            mesh_,

            IOobject::READ_IF_PRESENT,

            IOobject::AUTO_WRITE

        ),

        mesh_

      )

I hope someone could help me to clean this warning. The solver and the new turbulent model runs, converges and the results looks valid but...

Thank you very much
Marcelino