Ekeberg, R, Holmes, H and Paraskevopoulou, C orcid.org/0000-0002-7063-5592 (2021) A quantitative approach to predict tunnel overbreak based on the Q-system. In: IOP Conference Series : Earth and Environmental Science. IOP Conference Series: Earth and Environmental Science, 20-25 Sep 2021, Turin, Italy. IOP Publishing
Abstract
Overbreak can be a significant challenge in tunnelling and is usually assessed on a project-by-project basis. This paper attempts to quantify tunnel overbreak in jointed rock masses by producing a predictive model that practitioners can utilize at the preliminary design stage. Discontinuum numerical analysis of a circular-shaped tunnel is performed using the combined finite difference – discrete element method to generate a database of rock masses prone to overbreak. The Q-system, rock mass quality index, is used to classify the rock masses that are expected to overbreak in various tunnelling environments. The results are scrutinized to identify trends between overbreak and: i) Q, ii) average joint spacing and, iii) in-situ stress conditions. It is observed that overbreak increases when Q < 4 and is uniform when Q ≤ 4. A predictive model is generated through multiple regression analysis and can be used to identify and highlight the maximum likely overbreak or scenarios where overbreak is expected to occur.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This item is protected by copyright. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Mar 2022 16:27 |
Last Modified: | 16 Mar 2022 16:27 |
Status: | Published |
Publisher: | IOP Publishing |
Identification Number: | 10.1088/1755-1315/833/1/012165 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:184739 |
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