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A residual-based h-adaptive reconstructed discontinuous Galerkin method for the compressible Euler equations on unstructured grids

机译:基于残余的H-Adaptive重建的不连续的不连续的Galerkin方法,用于非结构化网格上的可压缩欧拉方程

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摘要

In this paper, a residual-based h-adaptive high-order reconstructed DG (rDG) method based on the hybrid reconstruction strategy is developed for solving the compressible Euler equations on unstructured grids. The proposed method combines the advantages of high-order rDG discretization with appropriate residual-based error estimation techniques and h-adaptive refinement strategies, which exhibits its superior potential compared to the underlying DG methods. To be specific, a third-order hybrid rDG(p(1)p(2)) method has been carefully designed and evaluated on incompatible quadrilateral grids with hanging nodes in order to preserve 2-exactness property during the implementation of mesh refinement and coarsening. A residual-based error estimator is used as local error indicator during the h-adaptive procedures. A number of test cases are presented to assess the performance of the high-order h-adaptive rDG method. The hybrid reconstruction strategy combined with h-adaptive techniques presented in this work demonstrates promise for improving the level of accuracy and reducing the computational cost for numerical simulations of compressible inviscid flows. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文开发了一种基于残余的H-Adaptive高阶重建DG(RDG)方法,用于求解非结构化网格上的可压缩欧拉方程。该方法将高阶RDG离散化的优点与适当的残余误差估计技术和H-Adaptive精炼策略相结合,与底层DG方法相比,其具有优异的潜力。具体而言,已经仔细设计了三阶混合RDG(P(1)P(2))方法,并在具有悬挂节点的不兼容的四边形网格上进行了精心设计和评估,以便在实现网眼细化和粗化期间保持2个精确性。在H-Adaptive程序期间,基于残余的误差估计器用作本地错误指示符。提出了许多测试用例以评估高阶H-Adaptive RDG方法的性能。结合本工作中提出的H-Adaptive技术的混合重建策略表明了提高准确性水平并降低可压缩反应流量数值模拟的计算成本。 (c)2017 Elsevier Ltd.保留所有权利。

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