杨杰
Personal information
Highest Degree：Doctoral degree
Professional Title：Professor
Academic Honor:
2024 Shenzhen Overseas High-Caliber Personnel Peacock Plan Level B
Journal Paper
- [1]Comprehensive evaluation of machine learning algorithms applied to TBM performance prediction,Underground Space,2022-02-01.
- [2]Physics-Informed Multifidelity Residual Neural Networks for Hydromechanical Modeling of Granular Soils and Foundation Considering Internal Erosion,Journal of Engineering Mechanics,2022-04-01.
- [3]Multiphysics modelling of backfill grouting in sandy soils during TBM tunnelling,Acta Geotechnica,2022-02-01.
- [4]Numerical Modeling of Viscous Slurry Infiltration in Sand,Computers and Geotechnics,2022-04-01.
- [5]Numerical analysis of internal erosion impact on underground structures: Application to tunnel leakage,Geomechanics for Energy and the Environment,2022-02-01.
- [6]Numerical investigation of tunnelling effects on existing piles in structured clay,European Journal of Environmental and Civil Engineering,2023-02-01.
- [7]A novel hydro-mechanical coupled multiphysics model for slurry penetration in sand with application to face stability analysis of shield tunnel,International Journal for Numerical and Analytical Methods in Geomechanics,2023-04-01.
- [8]Development of an LSTM-based model for predicting the long-term settlement of land reclamation and a GUI-based tool,Acta Geotechnica,2023-02-01.
- [9]Hydromechanical modeling of granular soils considering internal erosion,Canadian Geotechnical Journal,2020-12-01.
- [10]Internal erosion in dike‐on‐foundation modeled by a coupled hydromechanical approach,International Journal for Numerical and Analytical Methods in Geomechanics,2019-12-01.