Dr. Ryan Glasby
Computational Sciences and Engineering Division
Oak Ridge National Laboratory

The Process of Gaining Credibility Through V&V for CFD

ABSTRACT: This work presents an overview of a high-fidelity compressible flow solver that utilizes the continuous Galerkin (CG) method with entropy viscosity for stabilization to solve a variety of steady and unsteady benchmark inviscid flow problems. Discretizing the Euler equations with the CG approach produces a more cost-effective stencil compared to other finite-element discretizations, as well as simpler well-posed boundary conditions. We show through convergence testing with manufactured solutions that the reduced stencil of CG, combined with the low amount of artificial diffusion required when using the entropy viscosity method outlined in this work, leads to stable and highly accurate results. When combined with the adaptive mesh refinement approach used for many of the cases in this work, our results show that the aforementioned flow solver achieves even more accurate results. A variety of inviscid flow cases are presented including transient 2D cases with complex shock structures, several steady 3D airfoil configurations, and a transient 3D forward step.

BIOGRAPHY: Dr. Glasby's research is focused on developing higher-order unstructured algorithms and automated computational shape design techniques for compressible fluid flow and electro-magnetics. More specifically, Dr. Glasby works on software that discretizes the steady/unsteady Navier-Stokes equations and Maxwell's equations with finite-element schemes and implements the discrete adjoint technique for shape design.