非平衡稠密气体流的一般合成迭代方案

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2024-10-11 DOI:10.1016/j.jcp.2024.113501
Zheng Shi, Yanbing Zhang, Lei Wu
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引用次数: 0

摘要

最近开发的通用合成迭代方案(GSIS)是专为非平衡稀薄气体量身定制的,它被扩展到基于 Shakhov-Enskog 模型的非平衡稠密气体流的稳态解求解,解决了传统迭代方案中存在的收敛速度慢和在近连续流中需要超精细网格的问题。GSIS 的关键要素是介观动力学方程与由动力学方程精确推导出的宏观合成方程的紧密耦合。一方面,根据速度分布函数计算出的高阶项为宏观合成方程提供了描述非平衡效应的高阶构成关系。另一方面,从宏观合成方程中获得的宏观量用于指导动力学方程中速度分布函数的演化。GSIS 的效率和准确性在几个测试案例中得到了证明,包括冲击波通过圆柱体以及压力驱动的高密度气体流通过平行板和多孔介质。在广泛的气体稀释中分析了致密性的影响。
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General synthetic iterative scheme for non-equilibrium dense gas flows
The recently-developed general synthetic iterative scheme (GSIS), which is tailored for non-equilibrium dilute gas, has been extended to find the steady-state solutions of the non-equilibrium dense gas flows based on the Shakhov-Enskog model, resolving the problems of slow convergence and requirement of ultra-fine grids in near-continuum flows that exist in the conventional iterative scheme. The key ingredient of GSIS is the tight coupling of the mesoscopic kinetic equation and the macroscopic synthetic equations that are exactly derived from the kinetic equation. On the one hand, high-order terms computed from the velocity distribution function provide the higher-order constitutive relations describing the non-equilibrium effects for the macroscopic synthetic equations. On the other hand, the macroscopic quantities obtained from the macroscopic synthetic equations are used to guide the evolution of the velocity distribution function in the kinetic equation. The efficiency and accuracy of GSIS are demonstrated in several test cases, including the shock wave passing through a cylinder and the pressure-driven dense gas flows passing through parallel plates and porous media. The effects of denseness are analyzed in a wide range of gas rarefaction.
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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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