Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/8305
Title: | A rock mass rating system for predicting TBM utilization | Authors: | Yağız, Saffet Kim, T. Frough, O. Torabi, S.R. |
Keywords: | Forecasting Rock mechanics Case-studies Machine utilization Mechanized tunneling Rock mass Rock mass properties Rock mass rating Rock properties Rock types Rocks |
Publisher: | International Society for Rock Mechanics | Abstract: | Prediction of utilization based on rock mass properties is critical for any mechanized tunneling project, since the utilization have an influence on duration and costs of project. Using some case studies including Queens, Milyang, Manapouri, Karaj, Varzo, Maen, Pieve mechanized tunneling project around the world, the attempt is made to estimate utilization via Rock Mass Rating (RMR) System herein. It is concluded that the machine utilization has some reasonable correlations with RMR; however, this relationship is depend on not only rock mass properties but also machine specifications. In other words, the utilization may change with both rock mass conditions and utilized machine type. Due to that rock properties and other related downtimes should be examined together to obtain the reliable equations for predicting the utilization. Further, developed relationships may be used for similar rock type to estimate utilization from RMR. © 2013 Taylor & Francis Group, London. | URI: | https://hdl.handle.net/11499/8305 | ISBN: | 9781138000803 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
5
checked on Nov 16, 2024
WEB OF SCIENCETM
Citations
2
checked on Nov 22, 2024
Page view(s)
56
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.