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题名

Predicting convection configurations in coupled fluid-porous systems

作者
通讯作者McCurdy, Matthew
发表日期
2022-12-25
DOI
发表期刊
ISSN
0022-1120
EISSN
1469-7645
卷号953
摘要
A ubiquitous arrangement in nature is a free-flowing fluid coupled to a porous medium, for example a river or lake lying above a porous bed. Depending on the environmental conditions, thermal convection can occur and may be confined to the clear fluid region, forming shallow convection cells, or it can penetrate into the porous medium, forming deep cells. Here, we combine three complementary approaches - linear stability analysis, fully nonlinear numerical simulations and a coarse-grained model - to determine the circumstances that lead to each configuration. The coarse-grained model yields an explicit formula for the transition between deep and shallow convection in the physically relevant limit of small Darcy number. Near the onset of convection, all three of the approaches agree, validating the predictive capability of the explicit formula. The numerical simulations extend these results into the strongly nonlinear regime, revealing novel hybrid configurations in which the flow exhibits a dynamic shift from shallow to deep convection. This hybrid shallow-to-deep convection begins with small, random initial data, progresses through a metastable shallow state and arrives at the preferred steady state of deep convection. We construct a phase diagram that incorporates information from all three approaches and depicts the regions in parameter space that give rise to each convective state.
© 2022 The Author(s). Published by Cambridge University Press.
收录类别
EI ; SCI
语种
英语
学校署名
其他
资助项目
This work was supported by the National Science Foundation (N.J.M., grant DMS-2012560) and the National Natural Science Foundation of China (X.W., grants 12271237 and 11871159).
WOS记录号
WOS:000895826000001
出版者
EI入藏号
20225113257944
EI主题词
Coarse-grained modeling ; Linear stability analysis ; Natural convection ; Numerical models
EI分类号
Heat Transfer:641.2 ; Mathematics:921 ; Atomic and Molecular Physics:931.3 ; Materials Science:951
ESI学科分类
ENGINEERING
来源库
EV Compendex
引用统计
被引频次[WOS]:4
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/519741
专题理学院_数学系
深圳国际数学中心(杰曼诺夫数学中心)(筹)
理学院_深圳国家应用数学中心
作者单位
1.Department of Mathematics and Computer Science, Ohio Wesleyan University, Delaware; OH; 43015, United States
2.Department of Mathematics, Colgate University, Hamilton; NY; 13346, United States
3.Department of Mathematics, SUSTech International Center for Mathematics, National Center for Applied Mathematics Shenzhen, Guangdong Provincial Key Laboratory of Computational Science and Material Design, Southern University of Science and Technology, Shenzhen; 518055, China
4.Department of Mathematics and Statistics, Missouri University of Science and Technology, Rolla; MO; 65409, United States
推荐引用方式
GB/T 7714
McCurdy, Matthew,Moore, Nicholas J.,Wang, Xiaoming. Predicting convection configurations in coupled fluid-porous systems[J]. JOURNAL OF FLUID MECHANICS,2022,953.
APA
McCurdy, Matthew,Moore, Nicholas J.,&Wang, Xiaoming.(2022).Predicting convection configurations in coupled fluid-porous systems.JOURNAL OF FLUID MECHANICS,953.
MLA
McCurdy, Matthew,et al."Predicting convection configurations in coupled fluid-porous systems".JOURNAL OF FLUID MECHANICS 953(2022).
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