Feedback on a shared big dataset for intelligent TBM Part II: Application and forward look

Feedback on a shared big dataset for intelligent TBM Part II: Application and forward look

This review discusses the application scenarios of the machine learning-supported performance prediction and the optimization efficiency of tunnel boring machines (TBMs). The rock mass quality ratings, which are based on the Chinese code for geological survey, were used to provide “labels” suitable...

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Bibliographic Details
Main Authors: Jian-Bin Li, Zu-Yu Chen, Xu Li, Liu-Jie Jing, Yun-Pei Zhang, Hao-Han Xiao, Shuang-Jing Wang, Wen-Kun Yang, Lei-Jie Wu, Peng-Yu Li, Hai-Bo Li, Min Yao, Li-Tao Fan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-08-01
Series:Underground Space
Subjects:
TBM performance prediction
TBM rock mass quality rating
TBM-supported machine learning
Rock mass classification ensemble
Tunnel collapse
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967423000247

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http://www.sciencedirect.com/science/article/pii/S2467967423000247

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