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Review: Mathematical expressions for estimating equivalent permeability of rock fracture networks  ( SCI-EXPANDED收录)   被引量:111

文献类型:期刊文献

英文题名:Review: Mathematical expressions for estimating equivalent permeability of rock fracture networks

作者:Liu, Richeng[1,2];Li, Bo[3];Jiang, Yujing[2,4];Huang, Na[2,4]

机构:[1]China Univ Min & Technol, State Key Lab Geomech & Deep Underground Engn, Xuzhou 221116, Peoples R China;[2]Nagasaki Univ, Sch Engn, Nagasaki 8528521, Japan;[3]Shaoxing Univ, Rock Mech & Geohazards Ctr, Shaoxing 312000, Peoples R China;[4]Shandong Univ Sci & Technol, State Key Lab Min Disaster Prevent & Control, Qingdao 266590, Peoples R China

年份:2016

卷号:24

期号:7

起止页码:1623

外文期刊名:HYDROGEOLOGY JOURNAL

收录:SCI-EXPANDED(收录号:WOS:000386340700002)、、WOS

基金:This study has been partially funded by the National Natural Science Foundation of China (Grant Nos. 41427802, 51379117, 51579239). These supports are gratefully acknowledged.

语种:英文

外文关键词:Groundwater flow; Hydraulic properties; Fracture network; Permeability; Mathematical expression

外文摘要:Fracture networks play a more significant role in conducting fluid flow and solute transport in fractured rock masses, comparing with that of the rock matrix. Accurate estimation of the permeability of fracture networks would help researchers and engineers better assess the performance of projects associated with fluid flow in fractured rock masses. This study provides a review of previous works that have focused on the estimation of equivalent permeability of two-dimensional (2-D) discrete fracture networks (DFNs) considering the influences of geometric properties of fractured rock masses. Mathematical expressions for the effects of nine important parameters that significantly impact on the equivalent permeability of DFNs are summarized, including (1) fracture-length distribution, (2) aperture distribution, (3) fracture surface roughness, (4) fracture dead-end, (5) number of intersections, (6) hydraulic gradient, (7) boundary stress, (8) anisotropy, and (9) scale. Recent developments of 3-D fracture networks are briefly reviewed to underline the importance of utilizing 3-D models in future research.

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