Comparison of machine learning methods for ground settlement prediction with different tunneling datasets
Author:
Funder
McMaster University
Natural Sciences and Engineering Research Council of Canada
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology
Reference46 articles.
1. Experimental study on the distribution of earth pressure and surface settlement through three-dimensional trapdoor tests;Adachi;Tunn. Undergr. Space Technol.,2003
2. Analysis of tunneling-induced ground movements using transparent soil models;Ahmed;J. Geotech. Geoenviron. Eng.,2011
3. Geogrid bridging over existing shallow flexible PVC buried pipe–Experimental study;Alotaibi;Tunn. Undergr. Space Technol.,2021
4. Random forests;Breiman;Mach. Learn.,2001
5. Numerical analysis of the interaction between twin-tunnels: influence of the relative position and construction procedure;Chehade;Tunn. Undergr. Space Technol.,2008
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