Optimal allocation of tunnel safety provisions based on a quantitative risk assessment model

Li, P; Qu, X

Optimal allocation of tunnel safety provisions based on a quantitative risk assessment model

Li, P Qu, X

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Publication Type:: Journal Article
Citation:: Scientific Programming, 2016, 2016
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Li, P	en_US
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Scientific Programming, 2016, 2016	en_US
dc.identifier.issn	1058-9244	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122887
dc.description.abstract	© 2016 Pan Li and Xiaobo Qu. This paper addresses the issue of optimally selecting the tunnel safety provisions. Tunnel safety provisions are the assets of urban road tunnels which are installed and implemented to reduce the tunnel risks, which are basically selected by expert judgment in practice. An optimization model is proposed to obtain the optimal solution for the selection of tunnel safety provisions. The objective function is to minimize the life cycle costs of tunnel safety provisions, which is subject to the requirements for tunnel safety provisions and the safety targets. Finally, by taking advantage of the special structure of the optimization model, a Bi-Section Search and Bound Algorithm (BSSBA) is designed to efficiently solve the problem.	en_US
dc.relation.ispartof	Scientific Programming	en_US
dc.relation.isbasedon	10.1155/2016/9628095	en_US
dc.subject.classification	Distributed Computing	en_US
dc.title	Optimal allocation of tunnel safety provisions based on a quantitative risk assessment model	en_US
dc.type	Journal Article
utslib.citation.volume	2016	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2016	en_US

Abstract:

© 2016 Pan Li and Xiaobo Qu. This paper addresses the issue of optimally selecting the tunnel safety provisions. Tunnel safety provisions are the assets of urban road tunnels which are installed and implemented to reduce the tunnel risks, which are basically selected by expert judgment in practice. An optimization model is proposed to obtain the optimal solution for the selection of tunnel safety provisions. The objective function is to minimize the life cycle costs of tunnel safety provisions, which is subject to the requirements for tunnel safety provisions and the safety targets. Finally, by taking advantage of the special structure of the optimization model, a Bi-Section Search and Bound Algorithm (BSSBA) is designed to efficiently solve the problem.

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http://hdl.handle.net/10453/122887