Design and implementation of a quantitative risk assessment software tool for Singapore road tunnels

Qu, X; Meng, Q; Yuanita, V; Wong, YH

Design and implementation of a quantitative risk assessment software tool for Singapore road tunnels

Qu, X

Meng, Q Yuanita, V Wong, YH

Permalink

Publication Type:: Journal Article
Citation:: Expert Systems with Applications, 2011, 38 (11), pp. 13827 - 13834
Issue Date:: 2011-10-01

Closed Access

	Filename	Description	Size
	fs.pdf	Published Version	1.4 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.contributor.author	Meng, Q	en_US
dc.contributor.author	Yuanita, V	en_US
dc.contributor.author	Wong, YH	en_US
dc.date.issued	2011-10-01	en_US
dc.identifier.citation	Expert Systems with Applications, 2011, 38 (11), pp. 13827 - 13834	en_US
dc.identifier.issn	0957-4174	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116519
dc.description.abstract	This paper presents an interesting approach to develop a quantitative risk assessment (QRA) software tool for road tunnels. It first introduces a QRA model for road tunnels, consisting of event trees, fault trees and consequence estimation models. The model is developed by taking into account the unique characteristics of Singapore road tunnels. The paper proceeds to describe design of the QRA software tool based on the QRA model by means of the object oriented design (OOD) method and eXtensible Markup Language (XML) technique. The XML files are used to store the numerous tree structures in the proposed model thus making the programming much more efficiently and effectively. The QRA software tool is robust and flexible such that users can easily add or modify the event trees, fault trees and the consequence estimation models. An application to Singapore road tunnels has been carried out to assess the robustness and effectiveness of the QRA software tool. © 2011 Elsevier Ltd. All rights reserved.	en_US
dc.relation.ispartof	Expert Systems with Applications	en_US
dc.relation.isbasedon	10.1016/j.eswa.2011.04.186	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Design and implementation of a quantitative risk assessment software tool for Singapore road tunnels	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	38	en_US
utslib.for	080399 Computer Software not elsewhere classified	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	01 Mathematical Sciences	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	closed_access
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	38	en_US

Abstract:

This paper presents an interesting approach to develop a quantitative risk assessment (QRA) software tool for road tunnels. It first introduces a QRA model for road tunnels, consisting of event trees, fault trees and consequence estimation models. The model is developed by taking into account the unique characteristics of Singapore road tunnels. The paper proceeds to describe design of the QRA software tool based on the QRA model by means of the object oriented design (OOD) method and eXtensible Markup Language (XML) technique. The XML files are used to store the numerous tree structures in the proposed model thus making the programming much more efficiently and effectively. The QRA software tool is robust and flexible such that users can easily add or modify the event trees, fault trees and the consequence estimation models. An application to Singapore road tunnels has been carried out to assess the robustness and effectiveness of the QRA software tool. © 2011 Elsevier Ltd. All rights reserved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/116519