Discontinuous Galerkin methods for the complete stochastic Euler equations

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Dominic Breit , Thamsanqa Castern Moyo , Philipp Öffner
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Abstract

In recent years, stochastic effects have become increasingly relevant for describing fluid behaviour, particularly in the context of turbulence. The most important model for inviscid fluids in computational fluid dynamics are the Euler equations of gas dynamics which we focus on in this paper. To take stochastic effects into account, we incorporate a stochastic forcing term in the momentum equation of the Euler system. To solve the extended system, we apply an entropy dissipative discontinuous Galerkin spectral element method including the Finite Volume setting, adjust it to the stochastic Euler equations and analyse its convergence properties. Our analysis is based on the concept of dissipative martingale solutions, as recently introduced by Moyo (J. Diff. Equ. 365, 408–464, 2023). Assuming no vacuum formation and bounded total energy, we prove that the scheme converges in law to a dissipative martingale solution. During the lifespan of a pathwise strong solution, we achieve convergence of at least order 1/2, measured by the expected L1 norm of the relative entropy. The results build a counterpart of those obtained in the deterministic case. In numerical simulations, we show the robustness of our scheme, visualise different stochastic realisations and support/extend the theoretical findings.
完全随机欧拉方程的不连续Galerkin方法
近年来,随机效应在描述流体行为方面变得越来越重要,特别是在湍流的背景下。计算流体动力学中最重要的无粘流体模型是气体动力学的欧拉方程。为了考虑随机效应,我们在欧拉系统的动量方程中加入了一个随机强迫项。为了求解扩展系统,我们采用了包含有限体积设置的熵耗散不连续伽辽金谱元方法,将其调整为随机欧拉方程,并分析了其收敛性。我们的分析基于Moyo (J. Diff. eququ . 365, 408-464, 2023)最近引入的耗散鞅解的概念。在不形成真空和总能量有界的条件下,证明了该格式收敛于一个耗散鞅解。在路径强解的生命周期内,我们实现了至少1/2阶的收敛,通过相对熵的期望L1范数来测量。结果建立了在确定性情况下得到的结果的对应。在数值模拟中,我们展示了我们方案的鲁棒性,可视化了不同的随机实现,并支持/扩展了理论发现。
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
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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