Question about output analysis of PF simulations #24720
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Hi everyone, Do you know if MOOSE has any tools for analyzing the outputs of PF simulations? In particular, does it have a way of determining the characteristic dimensions of phase domains, e.g., using spectral analysis? Thank you very much. |
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I think you can get it from an analysis of the 2-point correlation function. I talked about using 2-point correlation function for image analysis in this paper and gave a citation for the software we used. I'm not sure off hand exactly how to go from the correlation function to a characteristic length but it might just be the peak of the distribution function (we related it to bubble spacing in our paper and I'm guessing it is the same idea but you will probably need to do a little further reading on this). https://www.sciencedirect.com/science/article/pii/S0927025622004839?via%3Dihub |
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You could also use the inverse of the surface area per unit volume as a length scale. We did this and gave references to where this idea came from in this paper: https://materialstheory.springeropen.com/articles/10.1186/s41313-021-00041-5 For a 2D simulation, you would use the GB length per unit area. You could get GB length with the GrainBoundaryArea postprocessor (set |
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What is pf variables?
…On Fri, Jun 23, 2023 at 5:24 PM Guillaume Giudicelli < ***@***.***> wrote:
need to add the pf variables
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I think you can get it from an analysis of the 2-point correlation function. I talked about using 2-point correlation function for image analysis in this paper and gave a citation for the software we used. I'm not sure off hand exactly how to go from the correlation function to a characteristic length but it might just be the peak of the distribution function (we related it to bubble spacing in our paper and I'm guessing it is the same idea but you will probably need to do a little further reading on this).
https://www.sciencedirect.com/science/article/pii/S0927025622004839?via%3Dihub