Hi to all, I need to compute some mean-field and turbulent features of a pyfr simulation. In particular I need to have velocity and pressure mean fields, k, omega, epsilon and nu_t, in order to compare them to RANS results. To do this I need to compute, inside pyfr:
* time averages of velocity and pressure * fluctuations in time (instantaneous field - average field) for velocity * space gradients of the velocity fluctuations computed above * time averages of some transformations (products and sums) of the gradients computed above Is It possible to complete one or some of this tasks inside pyfr? right now I'm using paraview to perform this but it's quite inefficent. It would be good enough to have the space gradients of the velocity field for each timestep, being the most expensive part. Thanks in advance, Giulio -- 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/91dbb491-a8b0-4de9-9c41-ac30f12eaeb3%40googlegroups.com.
