FUZZY LOGIC MODELLING TO PREDICT THE LEVEL OF GEOTECHNICAL RISKS IN ROCK TUNNEL BORING MACHINE (TBM) TUNNELLING

This study aims to analyze the level of geotechnical risks and predict the advance rate in rock Tunnel Boring Machine (TBM) tunnelling, using a multi-stage fuzzy logic modelling. Twelve parameters, affecting the geotechnical hazard scenario occurrence, which were clustered into five groups, were use...

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Bibliographic Details
Main Authors: Mohammad Hossein Arbabsiar, Mohammad Ali Ebrahimi Farsangi, Hamid Mansouri
Format: Article
Language:English
Published: Faculty of Mining, Geology and Petroleum Engineering 2020-01-01
Series:Rudarsko-geološko-naftni Zbornik
Subjects:
Online Access:https://hrcak.srce.hr/file/344626