Author:
Ding Xiaobin,Xie Yuxuan,Xue Haowen,Chen Rui
Subject
Geotechnical Engineering and Engineering Geology,Building and Construction
Reference54 articles.
1. Evaluation of geotechnical parameters affecting the penetration rate of TBM using neural network (case study);Abolhosseini;Arabian J. Geosci.,2020
2. Experimental study of the effect of conditioning on abrasive wear and torque requirement of full face tunneling machines;Alavi Gharahbagh;Tunn. Undergr. Space Technol.,2014
3. ISRM suggested method for determining the abrasivity of rock by the CERCHAR abrasivity test, The ISRM suggested methods for rock characterization, testing and monitoring: 2007–2014;Alber,2013
4. Evaluation of tool wear in EPB tunneling of Tehran Metro, Line 7 Expansion;Amoun;Tunn. Undergr. Space Technol.,2017
5. Modelling TBM performance with artificial neural networks;Benardos;Tunn. Undergr. Space Technol.,2004
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