Prediction of TBM cutterhead speed and penetration rate for high-efficiency excavation of hard rock tunnel using CNN-LSTM model with construction big data - Archive ouverte HAL Access content directly
Journal Articles Arabian Journal of Geosciences Year : 2022

Prediction of TBM cutterhead speed and penetration rate for high-efficiency excavation of hard rock tunnel using CNN-LSTM model with construction big data

Long Li
Zaobao Liu
Hongyuan Zhou
  • Function : Author
Jing Zhang
  • Function : Author
  • PersonId : 757517
  • IdRef : 164499075
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hal-03617370 , version 1 (23-03-2022)

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Long Li, Zaobao Liu, Hongyuan Zhou, Jing Zhang, Wanqing Shen, et al.. Prediction of TBM cutterhead speed and penetration rate for high-efficiency excavation of hard rock tunnel using CNN-LSTM model with construction big data. Arabian Journal of Geosciences, 2022, 15 (3), pp.280. ⟨10.1007/s12517-022-09542-0⟩. ⟨hal-03617370⟩
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