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Artificial neural networks for the prediction of the soil-water characteristic curve: An overview
Sávio A. dos Santos Pereira, Gilson de F.N. Gitirana, Thiago Augusto Mendes and Raphael de Aquino Gomes Soil and Tillage Research 248 106466 (2025) https://doi.org/10.1016/j.still.2025.106466
Discrete element simulations to predict the response of bio-cemented sands
An adaptative discretization to model boundary value problems with discrete element method
Sébastien H. E. Volcy, Luc Sibille, Bruno Chareyre, Christophe Dano and Hamid Hosseini-Sadrabadi Granular Matter 27(2) (2025) https://doi.org/10.1007/s10035-024-01503-6
DEM-PFV numerical investigation of the spatial heterogeneity induced by suffusion in sands
Effect of void ratio on soil-water retention curves of silty sands using a pore network model derived from sphere packs
Mahboobi Motlagh Nazanin, Khoshghalb Arman, Khalili Nasser, R. Cardoso, C. Jommi and E. Romero E3S Web of Conferences 642 02001 (2025) https://doi.org/10.1051/e3sconf/202564202001
Applying Network Modeling to Determine Seepage-Induced Forces on Soil Particles
Tokio Morimoto, Catherine O’Sullivan and David M. G. Taborda Journal of Geotechnical and Geoenvironmental Engineering 150(5) (2024) https://doi.org/10.1061/JGGEFK.GTENG-11843
Uniform boundary conditions on models of spherical particles through alpha shape surface tracking and Laguerre–Voronoi diagrams
Macro-micro Performances of Granular Materials Considering the Influences of Density and Stress Path under True Triaxial Conditions: A DEM Investigation
Determination of the opening size of granular filters
Feda Seblany, Eric Vincens and Christophe Picault International Journal for Numerical and Analytical Methods in Geomechanics 45(9) 1195 (2021) https://doi.org/10.1002/nag.3198
Rattlers’ involvement for possibly looser critical states under higher mean stress
CIGOS 2019, Innovation for Sustainable Infrastructure
Anh Tuan Tong and Nguyen Hoang Phuong Luong Lecture Notes in Civil Engineering, CIGOS 2019, Innovation for Sustainable Infrastructure 54 745 (2020) https://doi.org/10.1007/978-981-15-0802-8_118
Quantitative prediction of discrete element models on complex loading paths
Luc Sibille, Pascal Villard, Félix Darve and Rodaina Aboul Hosn International Journal for Numerical and Analytical Methods in Geomechanics 43(5) 858 (2019) https://doi.org/10.1002/nag.2911
Influence of particle contact models on soil response of poorly graded sand during cavity expansion in discrete element simulation
Analysis of mechanical behaviour and internal stability of granular materials using discrete element method
N. Abdoulaye Hama, T. Ouahbi, S. Taibi, H. Souli, J.M. Fleureau and A. Pantet International Journal for Numerical and Analytical Methods in Geomechanics 40(12) 1712 (2016) https://doi.org/10.1002/nag.2510
Pore-scale simulations of drainage in granular materials: Finite size effects and the representative elementary volume
Pore‐scale modeling of fluid‐particles interaction and emerging poromechanical effects
E. Catalano, B. Chareyre and E. Barthélémy International Journal for Numerical and Analytical Methods in Geomechanics 38(1) 51 (2014) https://doi.org/10.1002/nag.2198