Pipe Jacking Performance: Mechanistic Behavior and Maintenance Challenges—An Artificial Intelligence-Based Approach
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9372-4_7
Reference44 articles.
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3. Avunduk E, Copur H (2018) Effect of clogging on EPB TBM performance: a case study in Akfirat Waste Water Tunnel, Turkey. Geotech Geol Eng 37:4789–4801. https://doi.org/10.1007/s10706-019-00938-6
4. Bai XD, Cheng WC, Ong DEL, Li G (2021) Evaluation of geological conditions and clogging of tunneling using machine learning. Geomech Eng 25(1):59–73. https://doi.org/10.12989/gae.2021.25.1.059
5. Bai XD, Cheng WC, Sheil BB, Li G (2021a) Pipe jacking clogging detection in soft alluvial deposits using machine learning algorithms. Tunn Undergr Space Technol 113:103908
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