TY - JOUR T1 - A Parallel, Reconstructed Discontinuous Galerkin Method for the Compressible Flows on Arbitrary Grids AU - Hong Luo, Luqing Luo, Amjad Ali, Robert Nourgaliev & Chunpei Cai JO - Communications in Computational Physics VL - 2 SP - 363 EP - 389 PY - 2011 DA - 2011/09 SN - 9 DO - http://doi.org/10.4208/cicp.070210.020610a UR - https://global-sci.org/intro/article_detail/cicp/7503.html KW - AB -

A reconstruction-based discontinuous Galerkin method is presented for the solution of the compressible Navier-Stokes equations on arbitrary grids. In this method, an in-cell reconstruction is used to obtain a higher-order polynomial representation of the underlying discontinuous Galerkin polynomial solution and an inter-cell reconstruction is used to obtain a continuous polynomial solution on the union of two neighboring, interface-sharing cells. The in-cell reconstruction is designed to enhance the accuracy of the discontinuous Galerkin method by increasing the order of the underlying polynomial solution. The inter-cell reconstruction is devised to remove an interface discontinuity of the solution and its derivatives and thus to provide a simple, accurate, consistent, and robust approximation to the viscous and heat fluxes in the Navier-Stokes equations. A parallel strategy is also devised for the resulting reconstruction discontinuous Galerkin method, which is based on domain partitioning and Single Program Multiple Data (SPMD) parallel programming model. The RDG method is used to compute a variety of compressible flow problems on arbitrary meshes to demonstrate its accuracy, efficiency, robustness, and versatility. The numerical results demonstrate that this RDG method is third-order accurate at a cost slightly higher than its underlying second-order DG method, at the same time providing a better performance than the third order DG method, in terms of both computing costs and storage requirements.