2019
DOI: 10.1016/j.compgeo.2018.11.014
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Influences of connectivity and conductivity on nonlinear flow behaviours through three-dimension discrete fracture networks

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Cited by 71 publications
(25 citation statements)
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“…Permeability characterizes the ability of porous materials to transport liquids. According to previous studies, permeability is positively correlated with material porosity and pore size, In addition, the permeability is also related to the number of pores, the degree of tortuosity of the fluid flow path [52], and the connectivity of the pore network [53]. This paper chooses the Coates model [54], [55], which is currently more commonly applied to water-only pore structures.…”
Section: Permeability Evolutionmentioning
confidence: 99%
“…Permeability characterizes the ability of porous materials to transport liquids. According to previous studies, permeability is positively correlated with material porosity and pore size, In addition, the permeability is also related to the number of pores, the degree of tortuosity of the fluid flow path [52], and the connectivity of the pore network [53]. This paper chooses the Coates model [54], [55], which is currently more commonly applied to water-only pore structures.…”
Section: Permeability Evolutionmentioning
confidence: 99%
“…The construction of metro tunnels in underground space of urban with complex geological structures will inevitably produce the adverse effects on existing structures around the tunnels. The geology condition is also an issue to be considered, like groundwater, soft soil layer, fractures and so on [1], [2], [3], [4], [5]. How to predict the problems in advance and take effective measures to reduce these impacts have become a key factor to be solved for the tunnel excavation projects.…”
Section: Introductionmentioning
confidence: 99%
“…For a long time, the flow behavior of fluid is an intriguing research topic for seepage theory of fractured rock mass [11][12][13]. On the one hand, the structural form of fractures and the connectivity of the fracture network effectively control the fluid flow [14][15][16][17]. Chen et al [14] proposed a quantitative model to represent the relationship between the fracture geometric characteristics and the non-Darcy coefficient.…”
Section: Introductionmentioning
confidence: 99%
“…Chen et al [14] proposed a quantitative model to represent the relationship between the fracture geometric characteristics and the non-Darcy coefficient. The smoother the fracture surfaces and the greater the connectivity of the fracture network, the lower the hydraulic gradient for the onset of nonlinear flows [15]. Larger apertures, rougher fracture surfaces, and a greater number of intersections in a discrete fracture network would result in the onset of nonlinear flow at a lower critical hydraulic gradient [16].…”
Section: Introductionmentioning
confidence: 99%