I’d like to investigate numerical dispersion for a representative simple model (such as this one) and I am planning a grid convergence study. I would also like to investigate how the polynomial degree of the solver affects convergence and accuracy.
My current plan for how to measure accuracy is:
- pick a point on the box mesh and generate its displacement time series
- increase mesh resolution (2x, 4x, 8x, etc) to determine this point’s displacement time series at different resolutions
I would then repeat the grid convergence study from above with various polynomial degrees of the solver to see if that has an effect on convergence time/accuracy.
Is there a better/more useful measure of accuracy that I should use instead?