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dc.contributor.authorMeng, Qiangen_US
dc.contributor.authorQu, Xiaoboen_US
dc.date.accessioned2017-05-03T16:09:47Z
dc.date.available2017-05-03T16:09:47Z
dc.date.issued2011en_US
dc.date.modified2012-05-21T22:24:30Z
dc.identifier.issn14793903en_US
dc.identifier.doi10.1504/IJRS.2011.041181en_US
dc.identifier.urihttp://hdl.handle.net/10072/44132
dc.description.abstractFire in road tunnels can lead to catastrophic consequences in combination with tunnel safety provision failures, thus necessitating a need for a reliable and robust approach to assess tunnel risks caused by fire. In a quantitative risk assessment (QRA) model for road tunnels, uncertainty is an unavoidable component because input parameters of the model possess different levels of uncertainties which are inappropriate to be formulated by crisp numbers. In this paper, a Monte Carlo sampling-based QRA model is proposed to address parameter uncertainty of a QRA model. The tunnel risks are assessed in terms of percentile-based societal risk as well as expected number of fatalities (ENF) curve, which would facilitate tunnel managers to make decisions. A case study is carried out to demonstrate the approach.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent853110 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherInderscience Publishersen_US
dc.publisher.placeUnited Kingdomen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom285en_US
dc.relation.ispartofpageto298en_US
dc.relation.ispartofissue3/4en_US
dc.relation.ispartofjournalInternational Journal of Reliability and Safetyen_US
dc.relation.ispartofvolume5en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchTransport Engineeringen_US
dc.subject.fieldofresearchcode090507en_US
dc.titleA probabilistic quantitative risk assessment model for fire in road tunnels with parameter uncertaintyen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2011 Inderscience Publishers. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.en_US
gro.date.issued2011
gro.hasfulltextFull Text


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