Hi,
On 10/08/2018 19:15, Vishal Saini wrote:
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.
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.
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