viewFactor cannot deal with complex geometry
Summary
Steps to reproduce
Example case
What is the current bug behaviour?
What is the expected correct behavior?
Relevant logs and/or images
Environment information
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- Hardware info :
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Possible fixes
Environment information OpenFOAM version : v1912 Operating system : Ubuntu 18.04 Compiler : gcc v7.4.0
Summary : The radiation model viewFactor seems to be unsuitable for complex geometry and fine mesh. Regarding the complexity of the geometry, I have attached a case with a tore and a cylinder in its centre. halftore_cylinder.zip
Because it is not a simple cube, the parameters nFacesInCoarsestLevel and maxDynListLength needs to be highly increased. For instance in the case I have attached, to run properly the tools faceAgglomerate and viewFactorsGen for this geometry, I need to increase maxDynListLength to 15 Millions (default value is 100 000) and nFacesInCoarsestLevel to 8000 for one of the two patch (this value varies from 10 to 40 in the tutorials).
Finally when I ran the solver (chtMultiRegionSimpleFoam), when the solver initialised the factor matrices, it crashes with the error :
terminate called after throwing an instance of 'std::bad_array_new_length' what(): std::bad_array_new_length
The full error message is in the file logFiles/log.chtMultiRegionSimpleFoam. So it seems that an hard-coded value in the code is exceeded regarding the view factor matrices length (F in processor*/Air/F).
Possible fixes: When you look at the distribution for the view factor matrices through each processors, it is unequal where some processor are 0 matrix and others with a huge matrix length. So maybe a smoother distribution through each processor can be achieved to solve this problem ? Or the hard-coded value can be increased ? But this solution can cause others troubles
Steps to reproduce : Please run the bash script Allrun-parallel with the provided configuration. The case runs with 12 cores. It must be crash when the solver runs. Please run with 12 cores as the viewFactor model is extremely sensitive to the number of cores used, the meshing size, ...