A pressure-projection pre-conditioning multi-fractional-step method for Navier–Stokes Flow in Porous Media

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Science Pub Date : 2024-05-09 DOI:10.1016/j.jocs.2024.102313
Lateef T. Akanji
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Abstract

A new pressure-projection pre-conditioning multi-fractional-step (PPP-MFS) method for incompressible Navier–Stokes flow in porous media is presented. This fractional step method is applied to decouple the pressure and the velocity; thereby, overcoming the computational costs and difficulty associated with the resolution of the nonlinear term in the Navier–Stokes equation for fine geometric models. Specifically, time evolution is decomposed into a sequence of multi-fractional solution steps. In the first step, an elliptic problem is solved for pressure (p) with a no-slip boundary condition. This gives the Stokes pressure and velocity fields. In the second step, the obtained pressure p is then projected onto the field p and used to solve for velocity field (u) required for the pre-conditioning of the solution to the Navier–Stokes equation. The pressure and velocity fields are obtained from the solution of the Navier–Stokes equation in the third step. Numerical and geometric discretisation of porous samples were carried out using finite-element method. For flow in simple channel models represented by two- and three-dimensions and in systems with high conductivity, the Stokes and Navier–Stokes numerical solutions produced close pressure and velocity field approximations. For flow around a cylinder, computation time is consistently higher in the Navier–Stokes equation by a factor of 2 with a pronounced non-symmetric pressure field at high mesh refinements. This computation time is desirable given that Navier–Stokes computation without preconditioning can be orders of magnitude more expensive.

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多孔介质中纳维尔-斯托克斯流的压力投射预处理多分步法
针对多孔介质中不可压缩的纳维-斯托克斯(Navier-Stokes)流动,提出了一种新的压力投射预处理多分数步法(PPP-MFS)。这种分数步法用于解耦压力和速度,从而克服了与解决精细几何模型的纳维-斯托克斯方程中的非线性项相关的计算成本和困难。具体来说,时间演化被分解为一系列多分段求解步骤。第一步,在无滑动边界条件下求解压力(p)的椭圆问题。这就得到了斯托克斯压力场和速度场。在第二步中,得到的压力 p 被投影到场 p∗ 上,并用于求解纳维-斯托克斯方程求解预条件所需的速度场 (u)。压力场和速度场是通过第三步的纳维-斯托克斯方程求解得到的。采用有限元方法对多孔样品进行了数值和几何离散化处理。对于由二维和三维表示的简单通道模型中的流动以及高传导性系统中的流动,斯托克斯和纳维-斯托克斯数值解法产生了接近的压力场和速度场近似值。对于圆柱体周围的流动,纳维-斯托克斯方程的计算时间始终要高出 2 倍,而且在网格细化程度较高时会出现明显的非对称压力场。考虑到没有预处理的 Navier-Stokes 计算成本可能会高出几个数量级,这种计算时间是可取的。
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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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