Prediction of the slurry pressure and inversion of formation characteristics based on a machine learning algorithm during tunnelling in a fault fracture zone-Reference-Cited by-同舟云学术

Prediction of the slurry pressure and inversion of formation characteristics based on a machine learning algorithm during tunnelling in a fault fracture zone

Published:2024-02 Issue: Volume:144 Page:105514
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Shen Xiang^ORCID,Chen Yifan,Cao Liqiang^ORCID,Chen Xiangsheng^ORCID,Fu Yanbin,Hong Chengyu^ORCID

Funder

Science, Technology and Innovation Commission of Shenzhen Municipality

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference51 articles.

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4. Research on combined construction technology for cross-metro tunnels in underground spaces;Chen;Engineering-Prc.,2018

5. Face stability analysis of shallow shield tunnels in dry sandy ground using the discrete element method;Chen;Comput Geotech,2011

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