A high-order solver for unsteady incompressible Navier–Stokes equations using the flux reconstruction method on unstructured grids with implicit dual time stepping

C Cox, C Liang, MW Plesniak - Journal of Computational Physics, 2016 - Elsevier
C Cox, C Liang, MW Plesniak
Journal of Computational Physics, 2016Elsevier
We report development of a high-order compact flux reconstruction method for solving
unsteady incompressible flow on unstructured grids with implicit dual time stepping. The
method falls under the class of methods now referred to as flux reconstruction/correction
procedure via reconstruction. The governing equations employ Chorin's classic artificial
compressibility formulation with dual time stepping to solve unsteady flow problems. An
implicit non-linear lower–upper symmetric Gauss–Seidel scheme with backward Euler …
Abstract
We report development of a high-order compact flux reconstruction method for solving unsteady incompressible flow on unstructured grids with implicit dual time stepping. The method falls under the class of methods now referred to as flux reconstruction/correction procedure via reconstruction. The governing equations employ Chorin's classic artificial compressibility formulation with dual time stepping to solve unsteady flow problems. An implicit non-linear lower–upper symmetric Gauss–Seidel scheme with backward Euler discretization is used to efficiently march the solution in pseudo time, while a second-order backward Euler discretization is used to march in physical time. We verify and validate implementation of the high-order method coupled with our implicit time stepping scheme using both steady and unsteady incompressible flow problems. The current implicit time stepping scheme is proven effective in satisfying the divergence-free constraint on the velocity field in the artificial compressibility formulation within the context of the high-order flux reconstruction method. This compact high-order method is very suitable for parallel computing and can easily be extended to moving and deforming grids.
Elsevier
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