| Discrete element modelling of flexible membrane boundaries for triaxial tests T Qu, YT Feng, Y Wang, M Wang Computers and Geotechnics 115, 103154, 2019 | 83 | 2019 |
| Numerical modelling of fluid-induced soil erosion in granular filters using a coupled bonded particle lattice Boltzmann method M Wang, YT Feng, GN Pande, AHC Chan, WX Zuo Computers and Geotechnics 82, 134-143, 2017 | 62 | 2017 |
| A novel algorithm of immersed moving boundary scheme for fluid–particle interactions in DEM–LBM M Wang, YT Feng, DRJ Owen, TM Qu Computer Methods in Applied Mechanics and Engineering 346, 109-125, 2019 | 61 | 2019 |
| Engineering geological properties of weathered swelling mudstones and their effects on the landslides occurrence in the Yanji section of the Jilin-Hunchun high-speed railway LW Kong, ZX Zeng, W Bai, M Wang Bulletin of Engineering Geology and the Environment 77 (4), 1491-1503, 2018 | 61 | 2018 |
| Towards data-driven constitutive modelling for granular materials via micromechanics-informed deep learning T Qu, S Di, YT Feng, M Wang, T Zhao International Journal of Plasticity, 103046, 2021 | 47 | 2021 |
| Numerical investigation of initiation and propagation of hydraulic fracture using the coupled Bonded Particle–Lattice Boltzmann Method M Wang, YT Feng, CY Wang Computers & Structures 181, 32-40, 2017 | 46 | 2017 |
| Assessment of engineering behaviour of an intensely weathered swelling mudstone under full range of seasonal variation and the relationships among measured parameters Z Zeng, L Kong, M Wang, HM Sayem Canadian Geotechnical Journal 55 (12), 1837-1849, 2018 | 45 | 2018 |
| Calibration of parallel bond parameters in bonded particle models via physics-informed adaptive moment optimisation T Qu, YT Feng, M Wang, S Jiang Powder Technology, 2020 | 43 | 2020 |
| Coupled bonded particle lattice Boltzmann method for modelling fluid–solid interaction M Wang, YT Feng, CY Wang International Journal for Numerical and Analytical Methods in Geomechanics …, 2016 | 43 | 2016 |
| Effects of sample dimensions and shapes on measuring soil–water characteristic curves using pressure plate M Wang, L Kong, M Zang Journal of Rock Mechanics and Geotechnical Engineering 7 (4), 463-468, 2015 | 39 | 2015 |
| Dynamic characteristics of lime-treated expansive soil under cyclic loading M Wang, L Kong, C Zhao, M Zang Journal of Rock Mechanics and Geotechnical Engineering 4 (4), 352-359, 2012 | 38 | 2012 |
| A coupled 3-dimensional bonded discrete element and lattice Boltzmann method for fluid-solid coupling in cohesive geomaterials M Wang, YT Feng, Pande, G N., T Zhao International Journal for Numerical and Analytical Methods in Geomechanics …, 2018 | 37 | 2018 |
| Deformation analysis of shallow gas-bearing ground from controlled gas release in Hangzhou Bay of China Y Wang, L Kong, Y Wang, M Wang, K Cai International Journal of Geomechanics 18 (1), 04017122, 2018 | 32 | 2018 |
| Applicability of discrete element method with spherical and clumped particles for constitutive study of granular materials T Qu, M Wang, Y Feng Journal of Rock Mechanics and Geotechnical Engineering 14 (1), 240-251, 2022 | 29 | 2022 |
| Effect of drying environment on engineering properties of an expansive soil and its microstructure L Kong, M Wang, A Guo, Y Wang Journal of Mountain Science 14 (6), 1194-1201, 2017 | 29 | 2017 |
| Effects of remoulding and wetting-drying-freezing-thawing cycles on the pore structures of Yanji mudstones Z Zeng, L Kong, M Wang, J Wang Cold Regions Science and Technology, 103037, 2020 | 28 | 2020 |
| Comparison of pore-size distribution of soils obtained by different methods M Wang, GN Pande, LW Kong, YT Feng International Journal of Geomechanics 17 (1), 06016012, 2017 | 28 | 2017 |
| Periodic boundary conditions of discrete element method-lattice Boltzmann method for fluid-particle coupling M Wang, YT Feng, Y Wang, TT Zhao Granular Matter 19 (3), 43, 2017 | 26 | 2017 |
| Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework T Qu, YT Feng, T Zhao, M Wang Powder Technology 356, 795-807, 2019 | 25 | 2019 |
| Deep Learning Predicts Stress–Strain Relations of Granular Materials Based on Triaxial Testing Data T Qu, S Di, YT Feng, M Wang, T Zhao, M Wang Computer Modeling in Engineering & Sciences 128 (1), 129-144, 2021 | 23 | 2021 |
Y T FengProfessor, Swansea UniversityVerified email at swansea.ac.uk
