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dc.contributor.authorHuang, Y.
dc.contributor.authorMa, G.
dc.contributor.authorLi, J.
dc.contributor.authorHao, Hong
dc.date.accessioned2017-01-30T10:41:41Z
dc.date.available2017-01-30T10:41:41Z
dc.date.created2015-10-29T04:09:21Z
dc.date.issued2015
dc.identifier.citationHuang, Y. and Ma, G. and Li, J. and Hao, H. 2015. Confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events. Journal of Loss Prevention in the Process Industries. 35: pp. 117-124.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/4785
dc.identifier.doi10.1016/j.jlp.2015.04.008
dc.description.abstract

Quantitative risk analysis (QRA) has been widely used to conduct the assessment of offshore accidental risks. However, the accuracy and validity of QRA is significantly affected by uncertainties when subjective judgments are involved. Therefore, it is unrealistic to determine the probability of a hazardous event by using one single explicit value when safety experts have a relatively low confidence level in their judgments. This paper proposes a new methodology for incorporating uncertainties into conventional QRA using the concept of confidence level. Offshore hydrocarbon release hazards are focused on and a barrier and operational risk analysis (BORA-Release) method is selected as the basic model to illustrate the proposed methodology. A left-right (L-R) bell-shaped fuzzy number is employed and its membership curve is able to control its shape to represent different confidence levels. As to the complex geometry of the bell-shaped fuzzy number, an a-cut operation is introduced to conduct the arithmetic operations of the fuzzy number, and a defuzzification method with total integral value is chosen to match the a-cut operations and acquire complete information for the fuzzy numbers. In the meantime, an optimism index is used to describe the attitude of the decision-maker. One case study is provided in this paper to demonstrate the implementation of this method.

dc.publisherElsevier Ltd
dc.titleConfidence-based quantitative risk analysis for offshore accidental hydrocarbon release events
dc.typeJournal Article
dcterms.source.volume35
dcterms.source.startPage117
dcterms.source.endPage124
dcterms.source.issn0950-4230
dcterms.source.titleJournal of Loss Prevention in the Process Industries
curtin.departmentDepartment of Civil Engineering
curtin.accessStatusFulltext not available


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