Chen, H-M, Yu, H-S and Smith, MJ (2016) Physical model tests and numerical simulation for assessing the stability of brick-lined tunnels. Tunnelling and Underground Space Technology, 53. pp. 109-119. ISSN 0886-7798
Abstract
Nowadays, numerical modelling is increasingly used to assess the stability of tunnels and underground caverns. However, an analysis of the mechanical behaviour of existing brick-lined tunnels remains challenging due to the complex material components. In order to study the mechanical behaviour of the masonry in brick-lined tunnels, this paper reports a series of small scale physical tunnel model tests to represent the true behaviour of a real tunnel under extreme loading. Advanced monitoring techniques of laser scanning and photogrammetry are used to record tunnel deformation and lining defects. This investigation shows how these techniques may substitute or supplement the conventional monitoring procedures. Moreover, numerical analyses based on continuum and discontinuum approaches are carried out. The numerical results are compared with physical model tests to assess the overall stability of these tunnels. Predictions using numerical models under various conditions have also been carried out to show the mechanical behaviour of masonry tunnel and to quantify the influence of the boundary and loading conditions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016, Elsevier Ltd. This is an author produced version of a paper published in Tunnelling and Underground Space Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Physical models; Numerical simulation; Tunnel stability; Condition monitoring; Deformation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Nov 2017 16:43 |
Last Modified: | 27 Jan 2018 10:11 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tust.2016.01.016 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:123926 |