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A direct discontinuous Galerkin method for the compressible Navier-Stokes equations on arbitrary grids

机译:任意网格上可压缩的Navier-Stokes方程的直接不连续Galerkin方法

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A Direct Discontinuous Galerkin (DDG) method is developed for solving the compressible Navier-Stokes equations on arbitrary grids in the framework of DG methods. The DDG method, originally introduced for scalar diffusion problems on structured grids, is extended to discretize viscous and heat fluxes in the Navier-Stokes equations. Two approaches of implementing the DDG method to compute numerical diffusive fluxes for the Navier-Stokes equations are presented: one is based on the conservative variables, and the other is based on the primitive variables. The importance of the characteristic cell size used in the DDG formulation on unstructured grids is examined. The numerical fluxes on the boundary by the DDG method are discussed. A number of test cases are presented to assess the performance of the DDG method for solving the compressible Navier-Stokes equations. Based on our numerical results, we observe that DDG method can achieve the designed order of accuracy and is able to deliver the same accuracy as the widely used BR2 method at a significantly reduced cost, clearly demonstrating that the DDG method provides an attractive alternative for solving the compressible Navier-Stokes equations on arbitrary grids owning to its simplicity in implementation and its efficiency in computational cost. (C) 2016 Elsevier Inc. All rights reserved.
机译:开发了一种直接不连续伽勒金(DDG)方法,用于在DG方法框架内求解任意网格上的可压缩Navier-Stokes方程。 DDG方法最初是针对结构化网格上的标量扩散问题而引入的,现已扩展为离散化Navier-Stokes方程中的粘性和热通量。提出了两种实现DDG方法以计算Navier-Stokes方程的数值扩散通量的方法:一种基于保守变量,另一种基于原始变量。研究了在非结构化网格上DDG公式中使用的特征单元大小的重要性。讨论了用DDG方法计算边界上的数值通量。提出了许多测试用例,以评估DDG方法求解可压缩Navier-Stokes方程的性能。根据我们的数值结果,我们发现DDG方法可以达到设计的精度等级,并且能够以显着降低的成本提供与广泛使用的BR2方法相同的精度,这清楚地表明DDG方法提供了一种有吸引力的解决方案归因于其实现的简单性和计算效率的高低,可任意网格上的可压缩Navier-Stokes方程。 (C)2016 Elsevier Inc.保留所有权利。

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