Prediction of preferential fluid flow in porous structures based on topological network models: Algorithm and experimental validation
查看参考文献61篇
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文摘
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The understanding and prediction of preferential fluid flow in porous media have attracted considerable attention in various engineering fields because of the implications of such flows in leading to a non-equilibrium fluid flow in the subsurface. In this study, a novel algorithm is proposed to predict preferential flow paths based on the topologically equivalent network of a porous structure and the flow resistance of flow paths. The equivalent flow network was constructed using Poiseuille's law and the maximal inscribed sphere algorithm. The flow resistance of each path was then determined based on Darcy's law. It was determined that fluid tends to follow paths with lower flow resistance. A computer program was developed and applied to an actual porous structure. To validate the algorithm and program, we tested and recorded two-dimensional(2D) water flow using an ablated Perspex sheet featuring the same porous structure investigated using the analytical calculations. The results show that the measured preferential flow paths are consistent with the predictions. |
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来源
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Science China. Technological Sciences
,2018,61(8):1217-1227 【核心库】
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DOI
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10.1007/s11431-017-9171-x
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关键词
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preferential flow
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porous structure
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topological networks
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flow resistance
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Darcy's law
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experimental validation
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地址
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1.
(Beijing)China University of Mining and Technology, State Key Laboratory of Coal Resources and Safe Mining, Beijing, 100083
2.
(Beijing)China University of Mining and Technology, State Key Laboratory for Geomechanics and Deep Underground Engineering, Xuzhou, 221116
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School of Mechanics and Civil Engineering, China University of Mining & Technology, Beijing, 100083
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School of Resources and Safety Engineering, China University of Mining & Technology, Beijing, 100083
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Institute of Mechanics, Chinese Academy of Science, Beijing, 100190
6.
Department of Civil Engineering, Monash University, Australia, Melbourne, 3800
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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1674-7321 |
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学科
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一般工业技术 |
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基金
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国家自然科学基金
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the State Key Research Development Program of China
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the National Natural Science Fund for Distinguished Young Scholars
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the Fund for Creative Research and Development Group Program of Jiangsu Province
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江苏高校优势学科建设工程
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文献收藏号
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CSCD:6336736
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