Please use this identifier to cite or link to this item: https://doi.org/10.1504/IJRS.2011.041181
Title: A probabilistic quantitative risk assessment model for fire in road tunnels with parameter uncertainty
Authors: Meng, Q. 
Qu, X. 
Keywords: QRA
Quantitative risk assessment
Road tunnel
Societal risk
Uncertainty
Issue Date: Jul-2011
Source: Meng, Q.,Qu, X. (2011-07). A probabilistic quantitative risk assessment model for fire in road tunnels with parameter uncertainty. International Journal of Reliability and Safety 5 (3-4) : 285-298. ScholarBank@NUS Repository. https://doi.org/10.1504/IJRS.2011.041181
Abstract: Fire 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. © 2011 Inderscience Enterprises Ltd.
Source Title: International Journal of Reliability and Safety
URI: http://scholarbank.nus.edu.sg/handle/10635/54738
ISSN: 1479389X
DOI: 10.1504/IJRS.2011.041181
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