Dear Niki, I have just finished a new test with the 2nd order 0.23million mesh (1.8 million in pyFR simulation).. I mapped the results from my previous pyfrs at 40.95s to the new case starting at t = 0.00s. I used bdf2 in physical time marching and Euler in pseudo time marching. Delta_t = 0.0001 and Delta_tau = 0.00001. So the pseudo time step is 1 over 10 of the physical time step. 10 iteration per physical time step.
I ran that from t = 0 to 9s, and pick up data at t = 8 and 9s. The data time interval is 0.01. It seemed still the diffusion part is very stiff to converge. (figure attached). The velocity convergence stabled around 0.02. I post processed the result and compared with the paper one. It is acceptably coincided. Hence, it is quite still very confusing whether diffusion term convergence does matter in your ACM. Very strange thing is that in the last physical time step, the convergence suddenly reach a very low level (1e-6 or 1e-5) for both pressure and velocity. So how exactly these convergence scheme works? Best regards, Will -- 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 pyfrmailinglist+unsubscr...@googlegroups.com. To post to this group, send an email to pyfrmailinglist@googlegroups.com. Visit this group at https://groups.google.com/group/pyfrmailinglist. For more options, visit https://groups.google.com/d/optout.
