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A Discontinuous Galerkin Method Based on Variational Reconstruction for Compressible Flows on Arbitrary Grids

机译:基于变分重构的不连续Galerkin方法在任意网格上的可压缩流

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A reconstructed discontinuous Galerkin (rDG) method based on a variational formulation, is developed for compressible flows on 3D arbitrary grids. In this method, a high-order polynomial solution is reconstructed using a newly developed variational formulation based on the given linear discontinuous Galerkin (DG(P1)) solution. The high order terms are obtained by solving an extreme value problem, which minimizes the jump of the values of the reconstructed polynomial solutions and their spatial derivatives at cell interfaces, and therefore maximizes smoothness of the reconstructed polynomial solutions. The resulting method is stable even on tetrahedral grids, since its stencils are intrinsically the entire mesh. A variety of the benchmark test cases are presented to assess the accuracy, efficiency, robustness and flexibility of this rDG method. Hexahedral mesh, prismatic mesh and tetrahedral mesh arc tested in the presented work to illustrate that this method can be applied to arbitrary grids. The numerical experiments demonstrate that the developed method is able to maintain the linear stability, attain the designed high order of accuracy, and outperform the rDG method based on the least-squares reconstruction without a significant increase in computing costs and storage requirements.
机译:开发了一种基于变分公式的重构不连续伽勒金(rDG)方法,用于3D任意网格上的可压缩流。在这种方法中,基于给定的线性不连续伽勒金(DG(P1))解,使用新开发的变分公式来重构高阶多项式解。高阶项是通过解决一个极值问题而获得的,该极值问题使重构多项式解及其值在单元界面处的空间导数的跳变最小,从而使重构多项式解的平滑度最大化。所得方法即使在四面体网格上也很稳定,因为其模板本质上是整个网格。介绍了各种基准测试用例,以评估该rDG方法的准确性,效率,鲁棒性和灵活性。在本工作中测试了六面体网格,棱柱形网格和四面体网格,以说明该方法可以应用于任意网格。数值实验表明,所开发的方法能够保持线性稳定性,达到设计的高阶精度,并且在不显着增加计算成本和存储要求的情况下,优于基于最小二乘重建的rDG方法。

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