Vulnerability of industrial plants to flood-induced natechs: A Bayesian network approach

Nima Khakzad and Pieter Van Gelder

Reliability Engineering and System Safety, 2018, vol. 169, issue C, 403-411

Abstract: In the context of natural-technological (natech) accidents, flood-induced damage of industrial plants have received relatively less attention mainly due to the scarcity of such accidents compared to those triggered by earthquakes, high winds, and lightnings. The large amount of oil and chemicals spillage due to floods triggered by the Hurricanes Katrina and Rita in 2005 and Harvey in 2017 in the U.S. demonstrated the potential of floods in causing catastrophic natechs. In the present study, we have developed a methodology based on physical reliability models and Bayesian network so as to assess the fragility (probability of failure) of industrial plants to floods. The application of the methodology has been demonstrated for petroleum storage tanks where flotation, shell buckling, and sliding are considered as the prevailing failure modes. Due to scarcity of empirical data and high-resolution field observations prevailing in natechs, the developed methodology can effectively be applied to a wide variety of natechs in industrial plants as long as limit state equations of respective failure modes can reasonably be developed.

Keywords: Floods; Natech accidents; Petroleum storage tank; Physical reliability models; Bayesian network (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832017305045
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:169:y:2018:i:c:p:403-411

DOI: 10.1016/j.ress.2017.09.016

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().