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A Hybrid Reconstructed Discontinuous Galerkin Method for Compressible Flows on Arbitrary Grids

机译:任意网格上可压缩流的混合重构不连续Galerkin方法

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A new reconstructed Discontinuous Galerkin (rDG) method based on a hybrid least-squares recovery and reconstruction, named P1P2(HLSr), is developed for solving the compressible Euler and Navier-Stokes equations on arbitrary grids. Unlike the recovery-based DG method where a quadratic polynomial solution is recovered from the underlying linear DG solution and the reconstruction-based DG method where a quadratic polynomial solution is reconstructed from the underlying linear DG solution, the new hybrid rDG method obtains a quadratic polynomial solution from the underlying linear solution by using a hybrid recovery and reconstruction strategy. The developed hybrid rDG method combines the simplicity of the reconstruction-based DG method and the accuracy of the recovery-based DG method, and has the desired property of 2-exactness. A number of test cases for a variety of flow problems are presented to assess the performance of the new P1P2(HLSr) method. Numerical experiments demonstrate that this hybrid rDG method is able to achieve the designed optimal 3rd order of accuracy for both inviscid and viscous flows and outperform the rDG methods based on either Green-Gauss or least-squares reconstruction.
机译:为了求解任意网格上的可压缩Euler和Navier-Stokes方程,开发了一种基于混合最小二乘恢复和重建的新的不连续伽勒金(rDG)方法,称为P1P2(HLSr)。新的混合rDG方法不同于从基础线性DG解中恢复二次多项式解的基于恢复的DG方法和从基础线性DG解中重构二次多项式的基于重构的DG方法,与之不同的是,新的混合rDG方法获得了二次多项式通过使用混合恢复和重构策略从基础线性解决方案中获得解决方案。所开发的混合rDG方法结合了基于重建的DG方法的简单性和基于恢复的DG方法的准确性,并具有2精确度的理想特性。提出了许多针对各种流动问题的测试案例,以评估新P1P2(HLSr)方法的性能。数值实验表明,该混合rDG方法能够针对粘性和粘性流均达到设计的最佳三阶精度,并且优于基于Green-Gauss或最小二乘重构的rDG方法。

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