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  5. Steps toward a probabilistic framework for tunnelling damage
 
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Steps toward a probabilistic framework for tunnelling damage

Author(s)
Moradabadi, Ehsan  
Laefer, Debra F.  
Clarke, Julie  
Uri
http://hdl.handle.net/10197/7415
Date Issued
2015-05-28
Date Available
2016-01-25T13:34:50Z
Abstract
Globally, the high rates of urbanization over the past century have spurred unprecedented levels of tunnel construction. With each tunnel installation, there is a large affiliated risk for damage to aboveground structures, especially those of unreinforced masonry. Such damage (and the subsequent costs and litigation) occur, despite huge sums committed to construction monitoring and pre-tunnel mitigation. Arguably, damage still happens because the wide range of parameters and the extent of their variability are not sufficiently considered in the risk assessment process. To address these uncertainties, a probabilistic framework for the large-scale risk assessment of existing, unreinforced masonry buildings subjected to bored tunnelling is proposed by the Urban Modelling Group (UMG) at the University College Dublin (UCD). This paper summarizes the initial steps needed to achieve such a framework.
Sponsorship
European Commission
Science Foundation Ireland
Other Sponsorship
EU RETURN grant
Type of Material
Conference Publication
Subjects

Uncertainty analysis

Performance assessmen...

Tunneling

Unreinforced masonry

DOI
10.13140/RG.2.1.3580.6564
Web versions
http://wtc15.com/
Language
English
Status of Item
Peer reviewed
Conference Details
2015 ITA World Tunnel Congress: Promoting Tunneling in SEE Region and 41st General Assembly, Dubrovnik, Croatia, 22 - 28 May 2015
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Steps_toward_a_probabilistic_framework_for_tunnelling_damage(Full_paper).pdf

Size

1.22 MB

Format

Adobe PDF

Checksum (MD5)

fb803a6d8d53eb61c8bc039aafe8dc1c

Owning collection
Civil Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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