Title | Predicting convection configurations in coupled fluid-porous systems |
Author | |
Corresponding Author | McCurdy, Matthew |
Publication Years | 2022-12-25
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DOI | |
Source Title | |
ISSN | 0022-1120
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EISSN | 1469-7645
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Volume | 953 |
Abstract | 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. |
Indexed By | |
Language | English
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SUSTech Authorship | Others
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Funding Project | 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).
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WOS Accession No | WOS:000895826000001
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Publisher | |
EI Accession Number | 20225113257944
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EI Keywords | Coarse-grained modeling
; Linear stability analysis
; Natural convection
; Numerical models
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ESI Classification Code | Heat Transfer:641.2
; Mathematics:921
; Atomic and Molecular Physics:931.3
; Materials Science:951
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ESI Research Field | ENGINEERING
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Data Source | EV Compendex
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Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/519741 |
Department | Department of Mathematics 深圳国际数学中心(杰曼诺夫数学中心)(筹) 深圳国家应用数学中心 |
Affiliation | 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 |
Recommended Citation 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.
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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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