An all Mach number finite volume method for isentropic two-phase flow

IF 3.8 2区 数学 Q1 MATHEMATICS Journal of Numerical Mathematics Pub Date : 2022-02-03 DOI:10.1515/jnma-2022-0015
M. Lukáčová-Medvid’ová, G. Puppo, Andrea Thomann
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引用次数: 11

Abstract

Abstract We present an implicit–explicit finite volume scheme for isentropic two phase flow in all Mach number regimes. The underlying model belongs to the class of symmetric hyperbolic thermodynamically compatible models. The key element of the scheme consists of a linearisation of pressure and enthalpy terms at a reference state. The resulting stiff linear parts are integrated implicitly, whereas the non-linear higher order and transport terms are treated explicitly. Due to the flux splitting, the scheme is stable under a CFL condition which is determined by the resolution of the slow material waves and allows large time steps even in the presence of fast acoustic waves. Further the singular Mach number limits of the model are studied and the asymptotic preserving property of the scheme is proven. In numerical simulations the consistency with single phase flow, accuracy and the approximation of material waves in different Mach number regimes are assessed.
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等熵两相流的全马赫数有限体积法
摘要本文给出了一种等熵两相流在所有马赫数范围内的隐显有限体积格式。基础模型属于对称双曲型热力学相容模型。该方案的关键要素包括参考状态下压力和焓项的线性化。所得的刚性线性部分隐式地积分,而非线性高阶项和输运项则显式地处理。由于通量分裂,该方案在CFL条件下是稳定的,而CFL条件是由慢波的分辨率决定的,并且即使在快速声波存在的情况下也允许大的时间步长。进一步研究了模型的奇异马赫数极限,并证明了该方案的渐近保持性。在数值模拟中,评估了与单相流的一致性、不同马赫数范围内物质波的精度和逼近性。
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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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