静态 Navier-Stokes 方程的解耦合和无条件稳定迭代法

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jianhua Chen, Yingying Jiang, Guo-Dong Zhang
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引用次数: 0

摘要

众所周知,静态纳维-斯托克斯方程的奥森迭代是无条件稳定的。然而,它是一种耦合型方案,每次迭代时速度 u $$ \boldsymbol{u} $$ 和压力 p $$ p $$ 都耦合在一起。明确处理压力 p $$ p $ 会导致解耦迭代,但这种处理方法并不稳定。在本文中,我们通过采用压力投影法来求解时间扰动 Navier-Stokes 系统,构建了一种解耦且无条件稳定的迭代方法来求解静态 Navier-Stokes 方程,该方法的解近似于随时间变化的稳态解 ( t → + ∞ $$ t\to +\infty $$ )。我们还严格证明了它的无条件稳定性。数值模拟证明,与广泛使用的 T-S 和 Oseen 迭代法相比,我们的迭代法更有效、更稳定,而且可以解决高雷诺数的流体流动问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Decoupled and unconditionally stable iteration method for stationary Navier–Stokes equations

Decoupled and unconditionally stable iteration method for stationary Navier–Stokes equations

It is well known the Oseen iteration for the stationary Navier–Stokes equations is unconditionally stable. However, it is a coupled type scheme where the velocity u $$ \boldsymbol{u} $$ and pressure p $$ p $$ are coupled together at each iteration. By treating pressure p $$ p $$ explicitly would lead to a decoupled iteration, but this treatment is unstable. In this article, we construct a decoupled and unconditionally stable iteration method to solve the stationary Navier–Stokes equations by adopting the pressure projection method to the temporal disturbed Navier–Stokes system whose solution approximates the steady state solution over time ( t + $$ t\to +\infty $$ ). We also rigorously prove its unconditional stability. Numerical simulations demonstrate that our iterative method is more efficient and stable than the extensively used T-S and Oseen iterations, and could solve the fluid flow with high Reynolds number.

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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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