A new decoupled unconditionally stable scheme and its optimal error analysis for the Cahn-Hilliard-Navier-Stokes equations

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Haijun Gao , Xi Li , Minfu Feng
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引用次数: 0

Abstract

We construct a decoupled, first-order, fully discrete, and unconditionally energy stable scheme for the Cahn-Hilliard-Navier-Stokes equations. The scheme is divided into two main parts. The first part involves the calculation of the Cahn-Hilliard equations, and the other part is to calculate the Navier-Stokes equations subsequently by utilizing the phase field and chemical potential values obtained from the above step. Specifically, the velocity in the Cahn–Hilliard equation is discretized explicitly at the discrete time level, which enables the computation of the Cahn–Hilliard equations to be fully decoupled from that of Navier–Stokes equations. Furthermore, the pressure-correction projection method, in conjunction with the scalar auxiliary variable approach, not only enables the discrete scheme to satisfy unconditional energy stability, but also allows the convective term in the Navier-Stokes equations to be treated explicitly. We subsequently prove that the time semi-discrete scheme is unconditionally stable and analyze the optimal error estimates for the fully discrete scheme. Finally, several numerical experiments validate the theoretical results.
Cahn-Hilliard-Navier-Stokes方程一种新的解耦无条件稳定格式及其最优误差分析
我们构造了Cahn-Hilliard-Navier-Stokes方程的解耦的、一阶的、完全离散的、无条件的能量稳定格式。本方案主要分为两个部分。第一部分是计算Cahn-Hilliard方程,另一部分是利用上一步得到的相场和化学势值计算Navier-Stokes方程。具体来说,Cahn-Hilliard方程中的速度在离散时间水平上被显式离散化,这使得Cahn-Hilliard方程的计算与Navier-Stokes方程的计算完全解耦。此外,压力校正投影法与标量辅助变量法相结合,不仅可以使离散格式满足无条件能量稳定性,而且可以显式处理Navier-Stokes方程中的对流项。随后证明了时间半离散格式是无条件稳定的,并分析了完全离散格式的最优误差估计。最后,通过数值实验对理论结果进行了验证。
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
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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