Abstract
The usage of full face tunnel boring machines (TBMs) for mining and civil projects are increasing enormously in recent years. Selection of TBM for a given rock formation is very important for the success of the project. A great care must be taken for machine selection and performance prediction in the project design phase. Full scale linear rock cutting test (LCM) and University of Trondheim performance prediction model are widely accepted methods for the performance prediction of the full face tunnel boring machines. For the performance prediction of TBMs, a portable linear rock cutting machine (PLCM)™ using mini discs is developed by the members of Istanbul Technical University (ITU), Mining Engineering Department. In this study, the intact rock sample, arcose is obtained along the tunnel alignment. The physical and mechanical properties of the rock sample are determined according to ISRM and ASTM standards. Big rock block sample is subjected to full scale linear rock cutting tests with different depth of cut and cutter spacing using 15" (380 mm in diameter) V-type disc cutters. These rock samples are also subjected to portable linear rock cutting tests using mini V-type (130 mm in diameter) disc cutter at 5 mm depth of cut. Rock cutting test results from LCM and PLCM tests are compared with each other. These studies indicated that portable linear rock cutting test can be used with a statistical reliability for selection of TBMs and prediction of their performance.
Original language | English |
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Pages | 1156-1165 |
Number of pages | 10 |
Publication status | Published - 2012 |
Event | 7th Asian Rock Mechanics Symposium, ARMS 2012 - Seoul, Korea, Republic of Duration: 15 Oct 2012 → 19 Oct 2012 |
Conference
Conference | 7th Asian Rock Mechanics Symposium, ARMS 2012 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 15/10/12 → 19/10/12 |
Bibliographical note
Publisher Copyright:© 2012 International Society for Rock Mechanics. All rights reserved.
Funding
The results given in this paper are the part of a PhD. Thesis by D. TUMAC. Authors are grateful to Turkish Scientific and Research Council (MISAG-274, Project no: 104M013) and all research people involved in this project.
Funders | Funder number |
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Türkiye Bilimsel ve Teknolojik Araştirma Kurumu | 104M013 |
Keywords
- LCM
- Performance prediction
- PLCM
- Rock cutting
- TMBs
- V-type mini disc cutter