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dc.contributor.authorQu, Xiaobo
dc.contributor.authorMeng, Qiang
dc.contributor.authorYuanita, Vivi
dc.contributor.authorWong, Yoke Heng
dc.date.accessioned2017-05-03T16:09:49Z
dc.date.available2017-05-03T16:09:49Z
dc.date.issued2011
dc.date.modified2012-04-03T22:57:14Z
dc.identifier.issn0957-4174
dc.identifier.doi10.1016/j.eswa.2011.04.186
dc.identifier.urihttp://hdl.handle.net/10072/44204
dc.description.abstractThis 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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherPergamon
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom13827
dc.relation.ispartofpageto13834
dc.relation.ispartofissue11
dc.relation.ispartofjournalExpert Systems with Applications
dc.relation.ispartofvolume38
dc.rights.retentionY
dc.subject.fieldofresearchMathematical sciences
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchTransport engineering
dc.subject.fieldofresearchcode49
dc.subject.fieldofresearchcode46
dc.subject.fieldofresearchcode40
dc.subject.fieldofresearchcode400512
dc.titleDesign and implementation of a quantitative risk assessment software tool for Singapore’s road tunnels
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2011
gro.hasfulltextNo Full Text
gro.griffith.authorQu, Xiaobo


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