arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2501.04041math.NAcs.NA
收藏

多孔介质中具有不同黏性和惯性阻力的稳态 Darcy-Brinkman-Forchheimer 流动模型的稳定化有限元方法

A stabilized finite element method for steady Darcy-Brinkman-Forchheimer flow model with different viscous and inertial resistances in porous media

Hyun Chul Yoon, S. M. Mallikarjunaiah

AI总结:

针对含不同黏性与惯性阻力的稳态 Darcy-Brinkman-Forchheimer 模型,提出结合 Newton 线性化、Taylor-Hood 单元、Grad-Div 稳定化、Schur 预条件和 Kelly 自适应细化的有限元算法。

摘要:

我们在连续 Galerkin 框架内实现了一种用于稳态 Darcy-Brinkman-Forchheimer 模型的稳定化有限元方法。该非线性流体模型首先使用标准的 Newton 法进行线性化。随后,采用基于 Taylor-Hood 单元对的稳定 inf-sup 型连续有限元对一系列线性问题进行离散,以近似主要变量:速度和压力。众所周知,这种单元对对于各向同性 Navier-Stokes 方程的近似是最优的。为了克服对流占优问题中众所周知的数值不稳定性,本文采用 Grad-Div 稳定化,并结合一种高效的 augmented Lagrangian 型罚方法。我们利用该罚项构造 block Schur complement 预条件子,随后将其与基于 Krylov 空间的迭代线性求解器耦合。此外,采用用于自适应网格细化的 Kelly 误差估计子,以较低的计算成本获得更好的数值结果。所提算法的性能在一个经典基准问题上得到验证。特别是针对 Forchheimer 参数,我们展示了计算域内沿中线的速度分量及其流线所呈现的一些有趣流动模式。本文强调了 Forchheimer 项在不同多孔介质情形下的作用。本研究可为离散众多多物理场问题以及多孔介质中具有惯性效应的流体流动提供一种有吸引力的方案。

英文摘要:

We implement a stabilized finite element method for steady Darcy-Brinkman-Forchheimer model within the continuous Galerkin framework. The nonlinear fluid model is first linearized using a standard \textit{Newton's method. The sequence of linear problems is then discretized utilizing a stable \textit{inf-sup} type continuous finite elements based on the \textit{Taylor-Hood} pair to approximate the primary variables: velocity and pressure}. Such a pair is known to be optimal for the approximation of the isotropic Navier-Stokes equation. To overcome the well-known numerical instability in the convection-dominated problems, the Grad-Div stabilization is employed with an efficient \textit{augmented Lagrangian-type} penalty method. We use the penalty term to develop the \textit{block Schur complement} preconditioner, which is later coupled with a Krylov-space-based iterative linear solver. In addition, the Kelly error estimator for the adaptive mesh refinement is employed to achieve better numerical results with less computational cost. Performance of the proposed algorithm is verified for a classical benchmark problem. Particularly for the Forchheimer parameter, we present some interesting flow patterns with the velocity components and their streamlines along the mid-lines in the computational domain. The role of the Forchheimer term is highlighted for different porous medium scenarios. This study can offer an attractive setting for discretizing many multi-physics problems along with the fluid flow having inertial effects in porous media.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑