Heat transfer in porous materials is of great importance for various natural, biological, and industrial processes. For the large difference between the microscopic and macroscopic dimensions, the volume averaging method (VAM) has been developed to obtain apparent thermal conductivity at the macroscopic level for the microscopic temperature and flow distributions, which can be calculated from the pore-scale simulations. In this article, we perform analysis on the influence of different representative element volume (REV) options on the validity of the thermal equilibrium assumption and the VAM calculated thermal conductivity coefficients. Numerical results from a demonstration simulation are also presented to verify and illustrate the theoretical analysis. Our results and discussion reveal a strong dependence of the thermal equilibrium condition and the calculated conductivity values on REV selection, while this should not be the case since the artificial REV selection should not affect the physical features of a system. This work raises long-time over-looked concerns and calls for caution in future relevant studies.
机构:
Beijing Jiaotong Univ, Key Lab Urban Underground Engn Minist Educ, Beijing, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Urban Underground Engn Minist Educ, Beijing, Peoples R China
Bai, Bing
Wang, Yan
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Beijing Uni Construct Grp Co Ltd, Beijing, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Urban Underground Engn Minist Educ, Beijing, Peoples R China
Wang, Yan
Rao, Dengyu
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Beijing Jiaotong Univ, Key Lab Urban Underground Engn Minist Educ, Beijing, Peoples R China
Guangzhou Expressway Ltd, Guangzhou, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Urban Underground Engn Minist Educ, Beijing, Peoples R China
Rao, Dengyu
Bai, Fan
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Beijing Jiaotong Univ, Key Lab Urban Underground Engn Minist Educ, Beijing, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Urban Underground Engn Minist Educ, Beijing, Peoples R China
机构:
China Jiliang Univ, Coll Sci, Hangzhou 310018, Peoples R China
Key Lab Intelligent Mfg Qual Big Data Tracing & An, Hangzhou 310018, Peoples R ChinaChina Jiliang Univ, Coll Sci, Hangzhou 310018, Peoples R China
Xu, Peng
Meng, Jin
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China Jiliang Univ, Coll Sci, Hangzhou 310018, Peoples R ChinaChina Jiliang Univ, Coll Sci, Hangzhou 310018, Peoples R China
Meng, Jin
Wang, Jialiang
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China Jiliang Univ, Coll Sci, Hangzhou 310018, Peoples R ChinaChina Jiliang Univ, Coll Sci, Hangzhou 310018, Peoples R China
Wang, Jialiang
Yu, Boming
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Huazhong Univ Sci & Technol, Sch Phys, Wuhan 430074, Peoples R ChinaChina Jiliang Univ, Coll Sci, Hangzhou 310018, Peoples R China
Yu, Boming
Qiu, Shuxia
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China Jiliang Univ, Coll Sci, Hangzhou 310018, Peoples R China
Key Lab Intelligent Mfg Qual Big Data Tracing & An, Hangzhou 310018, Peoples R ChinaChina Jiliang Univ, Coll Sci, Hangzhou 310018, Peoples R China
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Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, 53706, WIDepartment of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, 53706, WI
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Colorado Sch Mines, Dept Petr Engn, Golden, CO 80401 USA
Texas A&M Univ, Dept Petr Engn, College Stn, TX USA
iRock Technol, Beijing, Peoples R ChinaColorado Sch Mines, Dept Petr Engn, Golden, CO 80401 USA
Huang, Jingwei
Xiao, Feng
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Colorado Sch Mines, Dept Petr Engn, Golden, CO 80401 USAColorado Sch Mines, Dept Petr Engn, Golden, CO 80401 USA
Xiao, Feng
Dong, Hu
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iRock Technol, Beijing, Peoples R ChinaColorado Sch Mines, Dept Petr Engn, Golden, CO 80401 USA
Dong, Hu
Yin, Xiaolong
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Colorado Sch Mines, Dept Petr Engn, Golden, CO 80401 USAColorado Sch Mines, Dept Petr Engn, Golden, CO 80401 USA