中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Explicit analytical solutions of the anisotropic Brinkman model for the natural convection in porous media

文献类型:期刊论文

作者Cai, RX; Zhang, N
刊名SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY
出版日期2002-06-01
卷号45期号:6页码:808-816
关键词explicit analytical solution porous medium natural convection Brinkman model anisotropic
英文摘要Some algebraically explicit analytical solutions are derived for the anisotropic Brinkman model-an improved Darcy model-describing the natural convection in porous media. Besides their important theoretical meaning (for example, to analyze the non-Darcy and anisotropic effects on the convection), such analytical solutions can be the benchmark solutions to promoting the development of computational heat and mass transfer. For instance, we can use them to check the accuracy, convergence and effectiveness of various numerical computational methods and to improve numerical calculation skills such as differential schemes and grid generation ways.
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Mathematics, Applied ; Mathematics
研究领域[WOS]Mathematics
关键词[WOS]HEAT-CONDUCTION ; FLOW
收录类别SCI
语种英语
WOS记录号WOS:000175997900015
公开日期2015-12-22
源URL[http://ir.etp.ac.cn/handle/311046/106141]  
专题工程热物理研究所_中国科学院工程热物理所(论文库)_期刊论文(SCI)
作者单位Chinese Acad Sci, Inst Engn Thermophys, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Cai, RX,Zhang, N. Explicit analytical solutions of the anisotropic Brinkman model for the natural convection in porous media[J]. SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY,2002,45(6):808-816.
APA Cai, RX,&Zhang, N.(2002).Explicit analytical solutions of the anisotropic Brinkman model for the natural convection in porous media.SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY,45(6),808-816.
MLA Cai, RX,et al."Explicit analytical solutions of the anisotropic Brinkman model for the natural convection in porous media".SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY 45.6(2002):808-816.

入库方式: OAI收割

来源:工程热物理研究所

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