多流体力学方程的粘性正则化

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED
Tuan Anh Dao, Lukas Lundgren, Murtazo Nazarov
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引用次数: 0

摘要

SIAM 应用数学杂志》,第 84 卷第 4 期,第 1439-1459 页,2024 年 8 月。 摘要。理想磁流体力学(MHD)方程系统等非线性守恒定律可能会随着时间的推移而出现奇点。在这种情况下,粘性正则化是恢复解的正则性的常用方法。在本文中,我们提出了一种新的粘性通量来正则化 MHD 方程,它具有许多吸引人的特性。特别是,我们证明了所提出的粘性通量保留了密度和内能的正性,满足最小熵原理,与所有广义熵一致,并且具有伽利略不变性和旋转不变性。我们还提供了一种保持角动量的粘性通量变化。为了使分析对数值方案更有用,我们没有假定磁场的发散为零。利用连续有限元,我们展示了几个数值实验,包括接触波和磁重联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Viscous Regularization of the MHD Equations
SIAM Journal on Applied Mathematics, Volume 84, Issue 4, Page 1439-1459, August 2024.
Abstract. Nonlinear conservation laws such as the system of ideal magnetohydrodynamics (MHD) equations may develop singularities over time. In these situations, viscous regularization is a common approach to regain regularity of the solution. In this paper, we present a new viscous flux to regularize the MHD equations that holds many attractive properties. In particular, we prove that the proposed viscous flux preserves positivity of density and internal energy, satisfies the minimum entropy principle, is consistent with all generalized entropies, and is Galilean and rotationally invariant. We also provide a variation of the viscous flux that conserves angular momentum. To make the analysis more useful for numerical schemes, the divergence of the magnetic field is not assumed to be zero. Using continuous finite elements, we show several numerical experiments, including contact waves and magnetic reconnection.
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
79
审稿时长
12 months
期刊介绍: SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.
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