Modeling unsaturated hydraulic conductivity of granular soils using a combined discrete element and pore-network approach

被引:6
|
作者
Mufti, Suaiba [1 ]
Das, Arghya [1 ]
机构
[1] Indian Inst Technol Kanpur, Dept Civil Engn, Kanpur 208016, Uttar Pradesh, India
关键词
Discrete element method; Grain size distribution; Pore network modeling; Unsaturated hydraulic conductivity; Unsaturated soils; WATER RETENTION CURVE; RELATIVE PERMEABILITY; CAPILLARY-PRESSURE; POROUS-MEDIA; PREDICTIVE CAPABILITIES; SIMULATION; RISE; VERIFICATION; PHYSICS; SLOPES;
D O I
10.1007/s11440-022-01597-3
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
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.
引用
收藏
页码:651 / 672
页数:22
相关论文
共 50 条
  • [1] Modeling unsaturated hydraulic conductivity of granular soils using a combined discrete element and pore-network approach
    Suaiba Mufti
    Arghya Das
    Acta Geotechnica, 2023, 18 : 651 - 672
  • [2] Determination of unsaturated hydraulic conductivity of sandy soils: a new pore network approach
    Daneshian, Behrooz
    Habibagahi, Ghassem
    Nikooee, Ehsan
    ACTA GEOTECHNICA, 2021, 16 (02) : 449 - 466
  • [3] Determination of unsaturated hydraulic conductivity of sandy soils: a new pore network approach
    Behrooz Daneshian
    Ghassem Habibagahi
    Ehsan Nikooee
    Acta Geotechnica, 2021, 16 : 449 - 466
  • [4] Optimization-based pore network modeling approach for determination of hydraulic conductivity function of granular soils
    Mufti, Suaiba
    Das, Arghya
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2024, 48 (16) : 4035 - 4056
  • [5] Pore-Based Modeling of Hydraulic Conductivity Function of Unsaturated Rooted Soils
    Wang, Hao
    Chen, Rui
    Leung, Anthony Kwan
    Garg, Ankit
    Jiang, Zhenliang
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2025,
  • [6] A pore-network model for hydromechanical coupling in unsaturated compacted clayey soils
    Simms, P
    Yanful, E
    CANADIAN GEOTECHNICAL JOURNAL, 2005, 42 (02) : 499 - 514
  • [7] Prediction of Hydraulic Conductivity as Related to Pore Size Distribution in Unsaturated Soils
    Amer, Abdel-Monem M.
    Logsdon, Sally D.
    Davis, Dedrick
    SOIL SCIENCE, 2009, 174 (09) : 508 - 515
  • [8] Estimation of Unsaturated Hydraulic Conductivity of Granular Soils from Particle Size Parameters
    Wang, Ji-Peng
    Zhuang, Pei-Zhi
    Luan, Ji-Yuan
    Liu, Tai-Heng
    Tan, Yi-Ran
    Zhang, Jiong
    WATER, 2019, 11 (09)
  • [9] A pore network modeling approach to bridge void ratio-dependent soil water retention and unsaturated hydraulic conductivity curves
    Mirghafari, Rasoul
    Sajjadian, Seyed Sajjad
    Nikooee, Ehsan
    Habibagahi, Ghassem
    Raoof, Amir
    ENGINEERING REPORTS, 2024,
  • [10] A hybrid approach for modeling of breakable granular materials using combined finite-discrete element method
    Ma, Gang
    Zhou, Wei
    Chang, Xiao-Lin
    Chen, Ming-Xiang
    GRANULAR MATTER, 2016, 18 (01) : 1 - 17