China Tunnel Technology: Advance prediction of collapse for TBM tunneling using deep learning method
Dong Guo
School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Jinhui Li
School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Xu Li
School of Civil Engineering, Beijing Jiaotong University, Beijing, China
Zhaofeng Li
School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Pengxi Li
School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Zuyu Chen
China Institute of Water Resources and Hydropower Research, Beijing, China
Received 14 January 2021, Revised 9 December 2021, Accepted 31 January 2022, Available online 8 February 2022.
https://www.sciencedirect.com/science/article/abs/pii/S0013795222000412
cover tunnel photo by: Matt Brown from London, England / CC BY
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https://www.sciencedirect.com/science/article/abs/pii/S0013795222000412
Advance prediction of collapse for TBM tunneling using deep learning method
www.sciencedirect.comCollapse hazards pose a serious threat to the tunnel construction, especially when a tunnel boring machine (TBM) is used. The current methods are main…