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A variational reconstructed discontinuous Galerkin method for the steady-state compressible flows on unstructured grids

机译:用于非结构化网格上的稳态可压缩流的变分重建的不连续的Galerkin方法

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摘要

In this paper, a third-order reconstructed DG(p(1)p(2)) method based on the variational reconstruction (VR) (Wang et al., 2017 [24]) is developed for simulating the two dimensional steady-state compressible flows on unstructured and hybrid grids. The proposed method combines the advantages of the DG discretization with the flexibility of the variational reconstruction, which exhibits its superior potential in enhancing the level of accuracy compared to the underlying DG method. In this variational rDG(p(1)p(2)) method, the low order degrees of freedom are evolved through the underlying DG(p(1)) method, while the high order degrees of freedom are reconstructed through the variational reconstruction, in which the constitutive relations are built by minimizing the so-called 'cost function'. The cost function is defined by the total interfacial jump integration in the computational domain using the variational method. The large sparse linear system resulted by the variational reconstruction is solved in an efficient way coupled with the temporal discretization for the steady-state simulations. A number of test cases are presented to assess the performance of the new high order variational rDG(p(1)p(2)) method. (C) 2018 Elsevier Inc. All rights reserved.
机译:在本文中,基于变分重建(VR)(Wang等人,2017年[24])的三阶重建DG(P(1)P(2))方法用于模拟二维稳态在非结构化和混合网格上的可压缩流。该方法将DG离散化的优点与变分重建的灵活性相结合,这表现出与基础DG方法相比增强精度水平的优异潜力。在该变分RDG(P(1)P(2))方法中,通过基础DG(P(1))方法演化的低位自由度,而通过变分重建重建高阶自由度,其中构成关系是通过最小化所谓的“成本函数”来构建的。成本函数由使用变分方法计算计算域中的总界面跳跃集成定义。由变分重建产生的大稀疏线性系统以有效的方式解决,其与稳态模拟的时间离散化耦合。提出了许多测试用例,以评估新的高阶变分RDG的性能(P(1)P(2))方法。 (c)2018年Elsevier Inc.保留所有权利。

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