Numerical flux functions for Reynolds-averaged NavierStokes and k turbulence model computations with a line-preconditioned p-multigrid discontinuous Galerkin solver
We present an eigen-decomposition of the quasi-linear convective flux formulation of the completely coupled Reynolds-averaged NavierStokes and k turbulence model equations. Based on these results, we formulate different approximate Riemann solvers that can be used as numerical flux functions in a DG discretization. The effect of the different strategies on the solution accuracy is investigated with numerical examples. The actual computations are performed using a p-multigrid algorithm. To this end, we formulate a framework with a backward-Euler smoother in which the linear systems are solved with a general preconditioned Krylov method. We present matrix-free implementations and memory-lean line-Jacobi preconditioners and compare the effects of some parameter choices. In particular, p-multigrid is found to be less efficient than might be expected from recent findings by other authors. This might be due to the consideration of turbulent flow. Copyright (c) 2012 John Wiley & Sons, Ltd.
p-multigrid discontinuous galerkin turbulent compressible flow roe scheme eigenvalue decomposition