Vulnerability analysis of process plants subject to domino effects

被引：70

作者：

Khakzad, Nima ^{[1
]}

Reniers, Genserik ^{[1
]}

Abbassi, Rouzbeh ^{[2
]}

Khan, Faisal ^{[2
,3
]}

机构：

[1] Delft Univ Technol, Safety & Secur Sci Grp, Delft, Netherlands

[2] Univ Tasmania, Australian Maritime Coll, Hobart, Tas, Australia

[3] Mem Univ Newfoundland, C RISE, St John, NF, Canada

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2016年 / 154卷

关键词：

Domino effect; Dynamic Bayesian network; Graph metrics; Process plant;

D O I：

10.1016/j.ress.2016.06.004

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：127 / 136

页数：10

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