非理想气体Euler方程的高阶渐近保持和渐近精确IMEX方法的定量比较

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Giuseppe Orlando , Sebastiano Boscarino , Giovanni Russo
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引用次数: 0

摘要

我们提出了气体动力学欧拉方程的两种不同的隐式-显式龙格-库塔(IMEX-RK)方法的定量比较,专门针对低马赫极限。在这种情况下,经典的IMEX-RK方法涉及动量和能量平衡之间的隐式耦合,以避免声学CFL限制,而密度可以以完全显式的方式处理。这种方法可以得到一个轻度非线性的压力方程,该方程可以用不动点法求解。另一种策略是采用基于IMEX-RK方法的半隐式时间积分器(SI-IMEX-RK)。为了避免非理想气体的非线性压力方程和状态方程(EOS)的求解,对其刚性依赖性进行了仔细的分析。空间离散化基于不连续伽辽金(DG)方法,自然允许高阶精度。在理想气体和非理想气体的经典基准上评估了这两种方法的渐近保持(AP)和渐近精确(AA)性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A quantitative comparison of high-order asymptotic-preserving and asymptotically-accurate IMEX methods for the Euler equations with non-ideal gases
We present a quantitative comparison between two different Implicit–Explicit Runge–Kutta (IMEX-RK) approaches for the Euler equations of gas dynamics, specifically tailored for the low Mach limit. In this regime, a classical IMEX-RK approach involves an implicit coupling between the momentum and energy balance so as to avoid the acoustic CFL restriction, while the density can be treated in a fully explicit fashion. This approach leads to a mildly nonlinear equation for the pressure, which can be solved according to a fixed point procedure. An alternative strategy consists of employing a semi-implicit temporal integrator based on IMEX-RK methods (SI-IMEX-RK). The stiff dependence is carefully analyzed, so as to avoid the solution of a nonlinear equation for the pressure also for equations of state (EOS) of non-ideal gases. The spatial discretization is based on a Discontinuous Galerkin (DG) method, which naturally allows high-order accuracy. The asymptotic-preserving (AP) and the asymptotically-accurate (AA) properties of the two approaches are assessed on a number of classical benchmarks for ideal gases and on their extension to non-ideal gases.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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