| Discrete element modelling of flexible membrane boundaries for triaxial tests T Qu, YT Feng, Y Wang, M Wang Computers and Geotechnics 115, 103154, 2019 | 84 | 2019 |
| 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 | 62 | 2019 |
| 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 144, 103046, 2021 | 48 | 2021 |
| 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 366, 527-536, 2020 | 43 | 2020 |
| Coupled discrete element-finite difference method for analysing effects of cohesionless soil conditioning on tunneling behaviour of EPB shield T Qu, S Wang, Q Hu KSCE Journal of Civil Engineering 23, 4538-4552, 2019 | 40 | 2019 |
| Effect of hydraulic gradient on the permeability characteristics of foam-conditioned sand for mechanized tunnelling Q Hu, S Wang, T Qu, T Xu, S Huang, H Wang Tunnelling and Underground Space Technology 99, 103377, 2020 | 34 | 2020 |
| Numerical examination of EPB shield tunneling–induced responses at various discharge ratios T Qu, S Wang, J Fu, Q Hu, X Zhang Journal of Performance of Constructed Facilities 33 (3), 04019035, 2019 | 30 | 2019 |
| 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 |
| Stress responses associated with earth pressure balance shield tunneling in dry granular ground using the discrete-element method S Wang, T Qu, Y Fang, J Fu, J Yang International Journal Of Geomechanics 19 (7), 04019060, 2019 | 28 | 2019 |
| 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 | 24 | 2021 |
| Instability and treatments of the coupled discrete element and lattice Boltzmann method by the immersed moving boundary scheme M Wang, YT Feng, TM Qu, S Tao, TT Zhao International Journal for Numerical Methods in Engineering 121 (21), 4901-4919, 2020 | 23 | 2020 |
| A hybrid calibration approach to Hertz‐type contact parameters for discrete element models T Qu, Y Feng, T Zhao, M Wang International Journal for Numerical and Analytical Methods in Geomechanics …, 2020 | 23 | 2020 |
| Deep active learning for constitutive modelling of granular materials: From representative volume elements to implicit finite element modelling T Qu, S Guan, YT Feng, G Ma, W Zhou, J Zhao International Journal of Plasticity 164, 103576, 2023 | 22 | 2023 |
| Undrained compressibility characteristics and pore pressure calculation model of foam-conditioned sand H Wang, S Wang, J Zhong, T Qu, Z Liu, T Xu, P Liu Tunnelling and Underground Space Technology 118, 104161, 2021 | 22 | 2021 |
| An adaptive granular representative volume element model with an evolutionary periodic boundary for hierarchical multiscale analysis T Qu, Y Feng, M Wang International Journal for Numerical Methods in Engineering 122 (9), 2239-2253, 2021 | 21 | 2021 |
| Constitutive relations of granular materials by integrating micromechanical knowledge with deep learning Q Tongming, F Yuntian, W Mengqi, Z Tingting, D Shaocheng Chinese Journal of Theoretical and Applied Mechanics 53 (9), 2404-2415, 2021 | 15 | 2021 |
| Permeability stability calculation model of foam‐conditioned soil based on the permeability constant S Wang, S Huang, J Zhong, S Zhang, Q Hu, T Qu, X Ye International Journal for Numerical and Analytical Methods in Geomechanics …, 2021 | 13 | 2021 |
| A coupled polygonal DEM-LBM technique based on an immersed boundary method and energy-conserving contact algorithm M Wang, YT Feng, TM Qu, TT Zhao Powder technology 381, 101-109, 2021 | 13 | 2021 |
| 基于深度学习和细观力学的颗粒材料本构关系研究 瞿同明， 冯云田， 王孟琦， 赵婷婷， 狄少丞 力学学报 53 (9), 2404-2415, 2021 | 13 | 2021 |
Y T FengProfessor, Swansea UniversityVerified email at swansea.ac.uk
