Entropy stable non-oscillatory fluxes: An optimized wedding of entropy conservative flux with non-oscillatory flux

IF 3.8 2区 数学 Q1 MATHEMATICS
R. Dubey
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引用次数: 0

Abstract

Abstract This work frames the problem of constructing non-oscillatory entropy stable fluxes as a least square optimization problem. A flux sign stability condition is defined for a pair of entropy conservative flux (F∗) and a non-oscillatory flux (Fs). This novel approach paves a way to construct non-oscillatory entropy stable flux (F̂) as a simple combination of (F∗ and Fs) which inherently optimize the numerical diffusion in the entropy stable flux (F̂) such that it reduces to the underlying non-oscillatory flux (Fs) in the flux sign stable region. This robust approach is (i) agnostic to the choice of flux pair (F∗, Fs), (ii) does not require the computation of costly dissipation operator and high order reconstruction of scaled entropy variable to construct the diffusion term. Various non-oscillatory entropy stable fluxes are constructed and exhaustive computational results for standard test problems are given which show that fully discrete schemes using these entropy stable fluxes do not exhibit nonphysical spurious oscillations in approximating the discontinuities compared to the non-oscillatory schemes using underlying fluxes (Fs) only. Moreover, these entropy stable schemes maintain the formal order of accuracy of the lower order flux in the pair.
熵稳定非振荡通量:熵保守通量与非振荡通量的优化结合
摘要本文将非振荡熵稳定通量的构造问题描述为最小二乘优化问题。定义了熵守恒通量(F *)和非振荡通量(Fs)对的通量符号稳定条件。该方法将非振荡熵稳定通量(F)构造为(F∗和F)的简单组合,从而内在地优化熵稳定通量(F)中的数值扩散,使其减少到通量符号稳定区内的底层非振荡通量(F)。该方法与通量对(F *, Fs)的选择无关,不需要计算昂贵的耗散算子和高阶重构尺度熵变量来构造扩散项。构造了各种非振荡熵稳定通量,并给出了标准测试问题的详尽计算结果,表明与仅使用底层通量(Fs)的非振荡方案相比,使用这些熵稳定通量的完全离散方案在近似不连续时不会表现出非物理的伪振荡。此外,这些熵稳定格式保持了对中低阶通量的形式精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.90
自引率
3.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Journal of Numerical Mathematics (formerly East-West Journal of Numerical Mathematics) contains high-quality papers featuring contemporary research in all areas of Numerical Mathematics. This includes the development, analysis, and implementation of new and innovative methods in Numerical Linear Algebra, Numerical Analysis, Optimal Control/Optimization, and Scientific Computing. The journal will also publish applications-oriented papers with significant mathematical content in computational fluid dynamics and other areas of computational engineering, finance, and life sciences.
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