Thermal Convection in a Linearly Viscous Fluid Overlying a Bidisperse Porous Medium

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
P. Dondl, B. Straughan
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引用次数: 0

Abstract

A bidisperse porous medium is one with two porosity scales. There are the usual pores known as macropores but also cracks or fissures in the skeleton which give rise to micropores. In this article, we develop and analyze a model for thermal convection where a layer of viscous incompressible fluid overlies a layer of bidisperse porous medium. Care has to be taken with the boundary conditions at the interface of the fluid and the porous material, and this aspect is investigated. We propose two Beavers–Joseph conditions at the interface and we argue that the parameters in these relations should be different since they depend on the macro or micro permeability, and these parameters are estimated from the original experiments of Beavers and Joseph. The situation is one in a layer which is heated from below and under appropriate conditions bimodal neutral curves are found. These can depend on the relative permeability between the macro and micropores, the Beavers–Joseph conditions appropriate to the macro or micropores, the ratio d ̂ ${\hat{d}}$ of the depth d $d$ of the fluid layer to the depth d m $d_m$ of the porous layer, or generally the nature of the bidisperse medium.

Abstract Image

双分散多孔介质上线性粘性流体的热对流
双分散多孔介质是具有两种孔隙度的介质。骨架上既有通常被称为大孔的孔隙,也有产生微孔的裂缝或裂缝。在本文中,我们开发并分析了一个热对流模型,其中一层粘性不可压缩流体覆盖在一层双分散多孔介质上。注意流体与多孔材料界面处的边界条件,并对这方面进行了研究。我们在界面处提出了两个Beavers - Joseph条件,我们认为这些关系中的参数应该是不同的,因为它们取决于宏观或微观渗透率,这些参数是根据Beavers和Joseph的原始实验估计的。这种情况是在从下面加热的层中,在适当的条件下发现双峰中性曲线。这些取决于宏观和微孔之间的相对渗透率,宏观或微孔的比弗斯-约瑟夫条件,流体层的深度d$ d$与多孔层的深度d$ m$ d_m$的比值d} ${\hat{d}}$,或通常是双分散介质的性质。
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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