Hi Freddie, Thank you very much for your answers !
Regards, Anthony Larroque Le mardi 13 octobre 2020 à 18:49:35 UTC+2, [email protected] a écrit : > Hi Anthony, > > On 13/10/2020 11:23, Anthony Larroque wrote: > > I downloaded the supplementary material of both articles. However, in > > the .ini, I did not see anything related to the spanwise or time average > > quantities, except the solver-plugin-sampler for the points. My guess > > was that you used the soln-plugin-tavg. But I am struggling to integrate > > the values along the spanwise direction with Paraview. > > The manuscript pre-dates the time averaging and point sampling plugins > by some years. As such all post-processing was done by hand. Files > were written to disk with some frequency and then averaged together as a > post processing step. > > > - could you give any tips on how to integrate the field quantities in > > the spanwise direction ? > > Usually the best solution is to sample a set of points along a series of > straight lines in the spanwise direction. Each line can then be > integrated using the trapezium rule. ParaView can be used to perform > the required sampling. > > > - how were you able with PyFR to separate the time average wake profiles > > of the mode-H and mode-L ? > > If I recall, we perform a windowed average and so we ended up with > multiple time averages that could be inspected. > > > - regarding the probes in the solver-plugin-sampler, should not also > > these quantities been averaged in the span wise direction to compare it > > with the article of Lehmkuhl et al. ? If you did this, how did you > > perform it ? > > This can be accomplished by placing multiple probes along a given > spanwise coordinate and then averaging as appropriate. > > Regards, Freddie. > > -- You received this message because you are subscribed to the Google Groups "PyFR Mailing List" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web, visit https://groups.google.com/d/msgid/pyfrmailinglist/83c5fb0e-1e3a-4214-8428-e781f2ff9e6cn%40googlegroups.com.
