Rapid iterative convergence to an accurate steady-state solution is the
overall goal of computational fluid dynamics (CFD) for steady flows. I
will talk about recent work in my research group that improves solution
accuracy from second- to third-order without requiring a third-order
discretization operator (or the ability to converge the third-order
scheme to steady state). I will also discuss work we have done aimed at
improving the stability and iterative convergence of unsteady problems;
this work relies in part on application of dynamic mode decomposition (DMD).
28/3/2025
Dr. Carl Ollivier-Gooch earned his graduate degrees in Aeronautics and
Astronautics at Stanford University. He has been a professor at UBC for
nearly thirty years. In addition to several research awards, he has won
the university's top award for teaching, and has served as Associate
Head and Head of the department.