F. Shan

Success and challenges in predicting TBM penetration rate using recurrent neural networks

D. Jahed Armaghani, Xuzhen He, Pin Zhang, 2022, Tunnelling and Underground Space Technology.

Case Study: 4D Reservoir Geomechanics Simulation of an HP/HT Naturally Fractured Reservoir

Yongjie Huang, Xiangtong Yang, Yuanwei Pan, 2017 .

Numerical Modelling of Vapour-Ice Desublimation Process in Unsaturated Freezing Soils

D. Sheng, S. Zhang, J. Teng, 2018, Environmental Science and Engineering.

Long-term performance and economic evaluation of full-scale MF and RO process – A case study of the changi NEWater Project Phase 2 in Singapore

Hong-Ying Hu, Yin-hu Wu, Junqing Xu, 2020 .

Experimental study of ice accumulation in unsaturated clean sand

Shenmin Zhang, D. Sheng, J. Teng, 2019, Géotechnique.

A Numerical Model of Vapour Transfer and Phase Change in Unsaturated Freezing Soils

S. Zhang, J. Teng, F. Shan, 2020, Advances in Civil Engineering.

Case Study: 4D Coupled Reservoir/Geomechanics Simulation of a High-Pressure/High-Temperature Naturally Fractured Reservoir

Yongjie Huang, Xiangtong Yang, Yuanwei Pan, 2018, SPE Journal.

Effects of data smoothing and recurrent neural network (RNN) algorithms for real-time forecasting of tunnel boring machine (TBM) performance

D. J. Armaghani, Xuzhen He, F. Shan, 2023, Journal of Rock Mechanics and Geotechnical Engineering.