| 
| 
China Tunnel Technology: Prediction of shield jamming risk for double-shield TBM tunnels based on numerical samples and random forest classifier
Prediction of shield jamming risk for double-shield TBM tunnels based on numerical samples and random forest classifier
Shaokang Hou, Yaoru Liu, Wenyu Zhuang, Kai Zhang, Rujiu Zhang & Qiang Yang
State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China
Acta Geotechnica (2022)
https://link.springer.com/article/10.1007/s11440-022-01567-9
cover tunnel photo by: Matt Brown from London, England / CC BY
.jpg){kind=link}
Copyright 2019-2024 TunnelContact.com
https://link.springer.com/article/10.1007/s11440-022-01567-9
Prediction of shield jamming risk for double-shield TBM tunnels based on numerical samples and random forest classifier
link.springer.comActa Geotechnica - Currently, various machine learning (ML) techniques have been developed to solve geotechnical engineering problems. However, the lack of representative field samples limits the...