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Eigenvalue Plot for a Two-Parameter 3D Geometry
Posted 2014年3月16日 GMT-4 16:06 0 Replies
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I am modelling a PDE inside a specific 3D geometry, and using the built-in Eigenvalue studies for different parameters that alter the size/shape of the geometry (i.e width, height).
I have gotten everything to work fine for particular examples; however, since I need to obtain the first eigenvalue for many different combinations of parameters, I have used the Parametric Sweep feature in the Study tree, and run it over all combinations of the two parameters I have (each has about 25 possible values, so that surmounts to about 625 combinations in total).
The parametric sweep ran for a very long time (almost 3 hours), but was successful. However, here is my problem: I am having trouble figuring out how to obtain JUST the eigenvalues for each height and width as a 2-D matrix, and omit the other information that comes with the solution. I have tried several of the available features, but some of them seem to try to export way too much unnecessary other data such as the full solution plots, and the 1-D Plot Group that I tried to use froze up (I presume it's because I set some settings in it wrong, and caused it to try to plot too much since there are 625 combinations of parameters).
So my question is:
Is there an easy way to, after having run a parametric sweep over 2 parameters for the Eigenvalue studies, create a spreadsheet of the lowest eigenvalue in terms of the two parameters?
P.S. the size of the model is rather large, sitting at 330 MB, but not overwhelmingly huge.
Hello Mike Mamaev
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