基于TBM破岩数据的岩体条件深度学习表征方法
摘要
Surrounding rock perception based on TBM construction data is essential to ensuring the safety of TBM construction and improving its construction efficiency, in which the accuracy of TBM tunnelling parameter prediction is crucial to testing the effect of surrounding rock perception.Therefore, in this paper it takes Jilin Yin-Song' s project TBM4 bid section as the research object, selects the characteristic parameters of the surrounding rock from the rock breaking data of the loading phase of the TBM as input feature X1, and selects two construction control parameters (the rotation speed and penetration rate) as input feature X2, 基金项目： 国家重点研发计划资助项目(No.2022YFE0200400).
引用本文（GB/T 7714）
Min Yao, Xu Li, Jidong Yuan, 等. 基于TBM破岩数据的岩体条件深度学习表征方法[J]. Earth Science-Journal of China University of Geosciences, 2023.
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