C0 continuous data
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Vishal Saini
Aug 10, 2018, 2:15:16 PM8/10/18
to PyFR Mailing List
Hello all,
Is there a "filter" that can render C0 continuous data from PyFR output (that is by definition discontinuous at the elements).
Why? I'm trying to calculate PSD in space for Taylor-Green Vortex case and there occur peaks on wave-numbers corresponding to the element size.
Kindly suggest if someone has some other solution. I've already tried Paraview's CleantoGrid filter, but no help in this case.
Kindly suggest if someone has some other solution. I've already tried Paraview's CleantoGrid filter, but no help in this case.
BR,
Vishal
Freddie Witherden
Aug 14, 2018, 9:54:28 AM8/14/18
to pyfrmai...@googlegroups.com
Hi,
So the clean to grid filter will eliminate -- albeit somewhat
arbitrarily -- the multi-valued nature of the solution at the interfaces
between elements. The result should be C0 continuous.
However, this will probably not resolve your issue. Indeed, it is
perhaps worth asking if those peaks you observe in the PSD are really
spurious. After all, when the solver 'runs' it is not working to
actively eliminate these effects and so -- at some level -- they are
really there in the simulation. Of course, they're numerical artefacts,
albeit ones which can have a meaningful effect on the subsequent
dynamics of the simulation.
If you do want to get a 'clean' result your best bet is probably to
construct a global basis (which given the test case is relatively
simple) and then project the solution onto this basis.
Regards, Freddie.
arbitrarily -- the multi-valued nature of the solution at the interfaces
between elements. The result should be C0 continuous.
However, this will probably not resolve your issue. Indeed, it is
perhaps worth asking if those peaks you observe in the PSD are really
spurious. After all, when the solver 'runs' it is not working to
actively eliminate these effects and so -- at some level -- they are
really there in the simulation. Of course, they're numerical artefacts,
albeit ones which can have a meaningful effect on the subsequent
dynamics of the simulation.
If you do want to get a 'clean' result your best bet is probably to
construct a global basis (which given the test case is relatively
simple) and then project the solution onto this basis.
Regards, Freddie.
Vishal Saini
Aug 19, 2018, 4:53:20 PM8/19/18
to PyFR Mailing List
Thanks Freddie for the input.
I was able to project the results onto a globally continuous basis and the PSD results look good.
I was able to project the results onto a globally continuous basis and the PSD results look good.
BR,
Vishal
---
Vishal SAINI
Master of Research,Vishal SAINI
University of Cambridge.
Master in Turbulence
EC Lille, ENSIP and ENSMA France.
(+44) 7 459 186 139 (UK)
(+33) 7 58 24 84 02 (France)
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