Unsaturated hydraulic conductivity is an essential input data for many engineering problems involving water flow through unsaturated soils. The paper aims to present a pore-scale model for predicting unsaturated hydraulic conductivity along the drying path and the wetting path. The present work focuses on using basic properties of granular soils like grain size distribution and porosity to model unsaturated hydraulic conductivity. The approach is based on combining the discrete element method for modeling granular soil packing with pore network modeling. The fluid flow is simulated by incorporating pore-scale phenomena, which include piston-like advance and corner flow (wetting layers) in the drying process and piston-like advance, pore body filling, and snap-off in the wetting process. The predicted unsaturated hydraulic conductivity compares favorably to the experimental data available from the literature for various granular soils. There are also comparisons to previously published physically-based models, and the suggested model outperforms them for the materials investigated. The numerical framework presented effectively predicts the hysteretic unsaturated hydraulic conductivity curves and can account for changes in unsaturated hydraulic conductivity with different initial void ratios.
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Harbin Inst Technol, Sch Intelligent Civil & Ocean Engn, Shenzhen, Peoples R ChinaHarbin Inst Technol, Sch Intelligent Civil & Ocean Engn, Shenzhen, Peoples R China
Wang, Hao
Chen, Rui
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Harbin Inst Technol, Sch Intelligent Civil & Ocean Engn, Shenzhen, Peoples R China
Guangdong Prov Key Lab Intelligent & Resilient Str, Shenzhen, Peoples R ChinaHarbin Inst Technol, Sch Intelligent Civil & Ocean Engn, Shenzhen, Peoples R China
Chen, Rui
Leung, Anthony Kwan
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Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R ChinaHarbin Inst Technol, Sch Intelligent Civil & Ocean Engn, Shenzhen, Peoples R China
Leung, Anthony Kwan
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Garg, Ankit
Jiang, Zhenliang
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Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R ChinaHarbin Inst Technol, Sch Intelligent Civil & Ocean Engn, Shenzhen, Peoples R China
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Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
Ma, Gang
Zhou, Wei
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Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
Zhou, Wei
Chang, Xiao-Lin
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Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
Chang, Xiao-Lin
Chen, Ming-Xiang
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Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China