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A Parallel,Reconstructed Discontinuous Galerkin Method for the Compressible Flows on Arbitrary Grids 被引量:1

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摘要 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.
出处 《Communications in Computational Physics》 SCIE 2011年第2期363-389,共27页 计算物理通讯(英文)
基金 This manuscript has been authored by Battelle Energy Alliance,LLC under contract No.DE-AC07-05ID14517(INL/CON-10-17571)with the U.S.Department of Energy The first author would like to acknowledge the partial support for this work provided by the INL staff-faculty exchange program,while he was in residence at Idaho National Laboratory,Idaho Falls,ID The first and last authors would also like to acknowledge the partial support for this work provided by the NSF under project No.NSF-DMS0914706.
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