高阶熵稳定不连续伽辽金方法的人工粘滞方法

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jesse Chan
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引用次数: 0

摘要

熵稳定间断伽辽金(DG)方法提高了非线性守恒律高阶DG模拟的鲁棒性。这些方法产生一个半离散熵不等式,并依赖于一个包含部分求和(SBP)离散化矩阵和熵保守两点有限体积通量的代数通量差分公式。然而,这种两点有限体积通量的显式表达式可能不适用于所有系统,或者计算成本可能很高。本文提出了一种利用熵修正人工粘度来构造熵稳定DG方法的替代方法,其中人工粘度系数是基于单元熵不等式的局部违背和局部熵耗散来确定的。该方法对Abgrall、Öffner和Ranocha在[1]中引入的熵校正进行了修正,恢复了与熵稳定通量差分DG方法相同的全局半离散熵不等式。熵校正的人工粘度系数是无参数的,在每个单元上都是局部可计算的,所得的人工粘度在显式时间步进下既保持了高阶精度,又保持了双曲最大稳定时间步长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An artificial viscosity approach to high order entropy stable discontinuous Galerkin methods
Entropy stable discontinuous Galerkin (DG) methods improve the robustness of high order DG simulations of nonlinear conservation laws. These methods yield a semi-discrete entropy inequality, and rely on an algebraic flux differencing formulation which involves both summation-by-parts (SBP) discretization matrices and entropy conservative two-point finite volume fluxes. However, explicit expressions for such two-point finite volume fluxes may not be available for all systems, or may be computationally expensive to compute.
This paper proposes an alternative approach to constructing entropy stable DG methods using an entropy correction artificial viscosity, where the artificial viscosity coefficient is determined based on the local violation of a cell entropy inequality and the local entropy dissipation. The resulting method is a modification of the entropy correction introduced by Abgrall, Öffner, and Ranocha in [1], and recovers the same global semi-discrete entropy inequality that is satisfied by entropy stable flux differencing DG methods. The entropy correction artificial viscosity coefficients are parameter-free and locally computable over each cell, and the resulting artificial viscosity preserves both high order accuracy and a hyperbolic maximum stable time-step size under explicit time-stepping.
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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