cann - hilliard - navier - stokes方程的保守、有界和非线性离散化

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2024-11-29 DOI:10.1016/j.jcp.2024.113632
Jason Goulding, Tamar Shinar, Craig Schroeder
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引用次数: 0

摘要

Cahn-Hilliard方程描述二元混合物中的相分离,通常用一个相变量来表示一相的浓度或两相的浓度差。尽管系统在能量上趋向于相位变量在物理上有意义的范围内的解,但数值方法常常难以维持这些边界,导致物理上无效的数量和数值困难。在这项工作中,我们引入了一种新的Cahn-Hilliard方程的分裂和离散化,结合Navier-Stokes方程,它固有地保留了相变量的边界。该方法将四阶Cahn-Hilliard方程转化为二阶Helmholtz方程和带隐式能量势垒的二阶非线性方程,并利用基于安全优化的求解方法对其进行重新表述和求解。我们的方案确保相变量保持在有效范围内,稳健地处理大密度比,守恒质量和动量,保持这些量之间的一致性,并达到二阶精度。我们通过各种二维两相流体混合物的研究证明了该方法的有效性。
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Conservative, bounded, and nonlinear discretization of the Cahn-Hilliard-Navier-Stokes equations
The Cahn-Hilliard equation describes phase separation in a binary mixture, typically modeled with a phase variable that represents the concentration of one phase or the concentration difference between the two phases. Though the system is energetically driven toward solutions within the physically meaningful range of the phase variable, numerical methods often struggle to maintain these bounds, leading to physically invalid quantities and numerical difficulties. In this work, we introduce a novel splitting and discretization for the Cahn-Hilliard equation, coupled with the Navier-Stokes equations, which inherently preserves the bounds of the phase variable. This approach transforms the fourth-order Cahn-Hilliard equation into a second-order Helmholtz equation and a second-order nonlinear equation with implicit energy barriers, which is reformulated and solved with a safeguarded optimization-based solution method. Our scheme ensures the phase variable remains in the valid range, robustly handles large density ratios, conserves mass and momentum, maintains consistency between these quantities, and achieves second-order accuracy. We demonstrate the method's effectiveness through a variety of studies of two-dimensional, two-phase fluid mixtures.
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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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