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Vulnerability analysis of process plants subject to domino effects
Citation
Khakzad, N and Genserik, R and Abbassi, R and Khan, F, Vulnerability analysis of process plants subject to domino effects, Reliability Engineering and System Safety, 154 pp. 127-136. ISSN 0951-8320 (2016) [Refereed Article]
Copyright Statement
Copyright 2016 Elsevier
DOI: doi:10.1016/j.ress.2016.06.004
Abstract
In the context of domino effects, vulnerability analysis of chemical and process plants aims to identify and protect installations which are relatively more susceptible to damage and thus contribute more to the initiation or propagation of domino effects. In the present study, we have developed a methodology based on graph theory for domino vulnerability analysis of hazardous installations within process plants, where owning to the large number of installations or complex interdependencies, the application of sophisticated reasoning approaches such as Bayesian network is limited. We have taken advantage of a hypothetical chemical storage plant to develop the methodology and validated the results using a dynamic Bayesian network approach. The efficacy and out-performance of the developed methodology have been demonstrated via a real-life complex case study.
Item Details
Item Type: | Refereed Article |
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Keywords: | domino effect, dynamic Bayesian network, graph metrics, process plant |
Research Division: | Engineering |
Research Group: | Manufacturing engineering |
Research Field: | CAD/CAM systems |
Objective Division: | Energy |
Objective Group: | Energy exploration |
Objective Field: | Coal exploration |
UTAS Author: | Abbassi, R (Dr Rouzbeh Abbassi) |
UTAS Author: | Khan, F (Professor Faisal Khan) |
ID Code: | 109595 |
Year Published: | 2016 |
Web of Science® Times Cited: | 44 |
Deposited By: | NC Maritime Engineering and Hydrodynamics |
Deposited On: | 2016-06-22 |
Last Modified: | 2017-11-03 |
Downloads: | 0 |
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