Dear developers and dear fellow pyFR users, I have a few questions concerning the data location in high order cells as present in pyFR and the calculation of the dimensionless wall normal distance (Let's call it y+ from this point on) accordingly.
1) Calculation of y+ To calculate the y+ value for the first cell, I need it's dimensioned length normal to the wall. Am I correct, that since pyFR subdivides every cell further into solution points according to the order of the polynomial solution basis, the real y+ value would depend on the location of the closest solution point next to the wall and thus decrease with increasing polynomial order. Or does the distance from the wall to the first solution point only change marginally and an increase of the polynomial order only boosts the resolution in the center of the cell? In consequence do I need to respect wall normal resolution guidelines imposed by the stream's velocity already by the raw mesh or is it sufficient if the desired resolution is only achieved for a certain polynomial order? 2) Subdivision option of the pyfr export funcionality Another issue I'd like some clarification on is the subdivision option of the vtu export functionality in pyFR. From the user guide I read that the raw mesh gets divided equally spaced depending on the integer provided to the option. It was not clear for me in the first place, whether the option *-d 1 *corresponds to the one-time division of a raw cell in 2 parts in every spatial direction or if it corresponds to the number of subdomains (The latter seems to be the case). I would also like to know how the interpolation of the data at these subdivision points works: Is it linear interpolation between solution points or evaluation of the solution polynomial? At last, do you have a recommendation what level of subdivison is reasonable for a certain order? Best regards, Hendrik -- 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 post to this group, send an email to [email protected]. Visit this group at https://groups.google.com/group/pyfrmailinglist. For more options, visit https://groups.google.com/d/optout.
