不可压缩Navier-Stokes方程的广义模grad-div Picard迭代

IF 3 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Qi Zhang, Pengzhan Huang, Yinnian He
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引用次数: 0

摘要

本文提出了描述粘性不可压缩流体运动的平稳Navier-Stokes方程的广义模梯度-div Picard迭代方法。这种创新的方法将一个侵入式模块集成到现有的Navier-Stokes求解器代码中。这种集成不仅增强了处理高雷诺数问题的能力,而且随着梯度参数的增加,有效地减轻了求解器故障,提高了计算效率。进一步,我们给出了稳定性和收敛性的分析。最后,通过数值实验验证了理论结果,并证明了所提方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A generalized modular grad-div Picard iteration for the incompressible Navier–Stokes equations
In this paper, we propose a generalized modular grad-div Picard iterative method for the stationary Navier–Stokes equations describing the motion of a viscous incompressible fluid. The innovative approach integrates an intrusive module into existing Navier–Stokes solver codes. This integration not only enhances the capability to handle problems with higher Reynolds numbers but also effectively mitigates solver failures and improves computational efficiency as the grad-div parameter increases. Furthermore, we provide analysis of stability and convergence. Finally, several numerical experiments are conducted to validate the theoretical findings and demonstrate the advantage of the proposed method.
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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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