论文题目：Dynamic prediction of mechanized shield tunneling performance

作者：Ruohan Wang (王若晗), Dianqing Li (李典庆), ......, Yong Liu (刘勇)*

作者单位：

State Key Laboratory of Water Resources and Hydropower Engineering Science, Institute of Engineering Risk and Disaster Prevention, Wuhan University, Wuhan, 430072, People’s Republic of China

杂志：Automation in Construction

DOI：10.1016/j.autcon.2021.103958

APA引用格式：Wang, R., Li, D., Chen, E. J., & Liu, Y. (2021). Dynamic prediction of mechanized shield tunneling performance. Automation in Construction, 132, 103958.

摘要：

Slurry pressure balance shield, a kind of tunnel boring machine, is significantly affected by the operation parameters such as advance speed and torque. In this study, a dynamic regulation model is established based on wavelet transform and bidirectional long short-term memory method (Bi-LSTM) to predict advance speed and torque. For comparison, twenty parameters of the shield machine are input to predict the tunneling behavior through the Bi-LSTM model and the LSTM model. Comparison results indicate that the proposed model has a relatively high accuracy. Moreover, parametric sensitivity analysis is made to filter the parameters by using light gradient boosting machine, so that the ranking of importance for all parameters can be gained. The proposed dynamic regulation model is validated by the Sutong gas-insulated transmission line project in China with a complex underwater-work condition, which has a guiding significance in operating and adjusting the shield machine in a dynamic process.