Influence of vertical throughflow on the linear and nonlinear stability analyses of Rayleigh–Bénard convection in a biviscous Bingham fluid saturating a porous medium

IF 1.7 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER The European Physical Journal B Pub Date : 2025-02-20 DOI:10.1140/epjb/s10051-025-00884-8
Pankaj Barman, D. Srinivasachrya, Dipak Barman
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Abstract

This article aims to investigate the influence of vertical throughflow on the stability analysis of a biviscous Bingham fluid-saturated horizontal porous layer. Specifically, both linear and nonlinear stability thresholds are examined. The Darcy–Brinkman law is employed to formulate the momentum equation for the system. In this study, all three types of boundary conditions are considered: rigid-rigid, rigid-free, and free-free. The well-known energy method is applied to conduct the nonlinear stability analysis, while the linear stability analysis is carried out using the normal mode approach. The resultant eigenvalue problems are solved using the bvp4c-scheme in MATLAB 2022(a). The critical Rayleigh number and the corresponding wave numbers are obtained numerically by minimizing the neutral stability curves for both theories, and are calculated for the specified values of the flow-governing parameters, with the results presented graphically. It is observed that an increase in the Péclet number (vertical throughflow) delays the onset of convection, whereas an increase in the biviscous Bingham fluid parameter accelerates the onset of convection.

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垂直通流对双粘性Bingham流体饱和多孔介质中rayleigh - bsamadad对流线性和非线性稳定性分析的影响
本文旨在研究垂直通流对双粘性Bingham流体饱和水平多孔层稳定性分析的影响。具体地说,线性和非线性稳定性阈值都进行了检验。利用达西-布林克曼定律,建立了系统的动量方程。在本研究中,考虑了所有三种类型的边界条件:刚性-刚性,刚性-自由和自由-自由。采用众所周知的能量法进行非线性稳定性分析,采用正态模态法进行线性稳定性分析。由此产生的特征值问题在MATLAB 2022(a)中使用bvp4c方案求解。通过最小化两种理论的中性稳定性曲线,数值计算了临界瑞利数和相应的波数,并在指定的流控参数值下进行了计算,并以图形形式给出了结果。观察到,psamclet数(垂直通流)的增加延迟了对流的开始,而双粘性Bingham流体参数的增加加速了对流的开始。
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来源期刊
The European Physical Journal B
The European Physical Journal B 物理-物理:凝聚态物理
CiteScore
2.80
自引率
6.20%
发文量
184
审稿时长
5.1 months
期刊介绍: Solid State and Materials; Mesoscopic and Nanoscale Systems; Computational Methods; Statistical and Nonlinear Physics
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