Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72386
Title: Quantitative risk assessment using hybrid causal logic model
Authors: Wang, Y.F.
Xie, M. 
Roohi, S.F.
Keywords: Bayesian network
Fault tree
Human and organizational factors
Hybrid causal logic
Quantitative risk assessment
Issue Date: 2011
Source: Wang, Y.F.,Xie, M.,Roohi, S.F. (2011). Quantitative risk assessment using hybrid causal logic model. International Topical Meeting on Probabilistic Safety Assessment and Analysis 2011, PSA 2011 1 : 121-133. ScholarBank@NUS Repository.
Abstract: This paper presents a hybrid causal logic model, which integrates the traditional Quantitative Risk Assessment (QRA) models with Bayesian Network (BN) incorporating human and organizational factors. The multi-phase model allows different risk assessment methods to be applied to different parts. In the first phase, Event Tree (ET) defines the base scenarios for the source of risk issues. In the second phase, Fault Tree (FT) is used to model the factors how to contributing to the final failures. BN comprise the third phase, which extends the causal chain of basic events to potential human and organizational roots and provide a more precise quantitative links between the event nodes. The new model integrates the power of typical QRA for modeling deterministic causal paths with the flexibility of BN for modeling non-deterministic cause-effect relationships. The integration algorithm is demonstrated on an offshore fire case study. It clearly shows the new model is more flexible and useful than traditional QRA models.
Source Title: International Topical Meeting on Probabilistic Safety Assessment and Analysis 2011, PSA 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/72386
ISBN: 9781617828478
Appears in Collections:Staff Publications

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