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Posted:
4 years ago
27 ott 2020, 02:47 GMT-4
You can use 'with' operator for this. This will give you what you want.
Hope that helps.
You can use 'with' operator for this. This will give you what you want.
Hope that helps.
Edgar J. Kaiser
Certified Consultant
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Posted:
4 years ago
27 ott 2020, 05:06 GMT-4
Updated:
4 years ago
27 ott 2020, 05:12 GMT-4
Eddy,
it is my experience too, that complex postprocessing can be very time consuming. My workaround in some cases is to shift those operations into the solver. The solvers are implemented much more efficient than the post processing. Check this blog contribution by Walter Frei to get some ideas: https://www.comsol.de/blogs/using-the-previous-solution-operator-in-transient-modeling/ Of course you need to modify this according to your needs. Your integrations would then run in additional ODEs making use of the previous solution.
Cheers
Edgar
-------------------
Edgar J. Kaiser
emPhys Physical Technology
www.emphys.com
Eddy,
it is my experience too, that complex postprocessing can be very time consuming. My workaround in some cases is to shift those operations into the solver. The solvers are implemented much more efficient than the post processing. Check this blog contribution by Walter Frei to get some ideas: https://www.comsol.de/blogs/using-the-previous-solution-operator-in-transient-modeling/ Of course you need to modify this according to your needs. Your integrations would then run in additional ODEs making use of the previous solution.
Cheers
Edgar
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Posted:
4 years ago
18 nov 2020, 15:57 GMT-5
Hello.
I have a similar problem, where I would like to calculate the rms (average fluctuating velocity) in my model. I am solving a laminar system but there is "chaotic mixing", so I would like to get an average velocity field () and a rms field (). I was able to get the average velocity field by creating a time average dataset (in postprocessing), but have not been able to get the rms field.
Any help would be greatly appreciated. Thanks
Hello.
I have a similar problem, where I would like to calculate the rms (average fluctuating velocity) in my model. I am solving a laminar system but there is "chaotic mixing", so I would like to get an average velocity field (\bar{U}(x,y)) and a rms field (u_{rms}(x,y) = \sqrt{(u^\prime - \bar{U})^2}). I was able to get the average velocity field by creating a time average dataset (in postprocessing), but have not been able to get the rms field.
Any help would be greatly appreciated. Thanks
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Posted:
4 years ago
2 feb 2021, 18:22 GMT-5
Hi!
Thank you all for your sugesstions and sorry for my late response.
I ended up postprocessing all my data in Matlab, using the LiveLink for Matlab interface and it turned out to be the best way for me to get what I wanted because the postprocessing there is not very time consuming and it's highly customable.
Cheers.
Hi!
Thank you all for your sugesstions and sorry for my late response.
I ended up postprocessing all my data in Matlab, using the LiveLink for Matlab interface and it turned out to be the best way for me to get what I wanted because the postprocessing there is not very time consuming and it's highly customable.
Cheers.