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.
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