eCite Digital Repository

Assessment of domino effect: state of the art and research needs


Necci, A and Cozzani, V and Spadoni, G and Khan, FI, Assessment of domino effect: state of the art and research needs, Reliability Engineering and System Safety, 143 pp. 3-18. ISSN 0951-8320 (2015) [Refereed Article]

Copyright Statement

Copyright 2015 Elsevier Ltd.

DOI: doi:10.1016/j.ress.2015.05.017


High-impact low-probability (HILP) accident scenarios in industrial sites are raising a growing concern. Domino effect was responsible of several catastrophic accidents that affected the chemical and process industry, as well as critical infrastructures for energy as oil refineries. However, there is still a poor agreement on assessment procedures to address escalation hazard resulting in domino scenarios. The present study presents a review of the work done in the last 30 years in the field, and a critical analysis of available tools and knowledge gaps concerning domino effect assessment. The analysis of scientific publications concerning domino effect in the process industry resulted in a database of more than 60 documents, addressing three main issues: past accident analysis, models for equipment damage, risk assessment and safety management of domino scenarios. The methods, models and tools developed make now possible the quantitative assessment of domino scenarios in risk analysis and in safety management of industrial sites. Nevertheless, a number of open points still remain, where existing tools may be improved and uncertainty may be reduced.

Item Details

Item Type:Refereed Article
Keywords:domino effect, escalation, major accident hazard, quantitative risk assessment, vulnerability models, accident prevention, accidents, chemical analysis, damage detection, hazards, oil wells, risk analysis, risk perception, safety engineering
Research Division:Engineering
Research Group:Engineering practice and education
Research Field:Risk engineering
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Khan, FI (Professor Faisal Khan)
ID Code:120541
Year Published:2015
Web of Science® Times Cited:64
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-28
Last Modified:2017-11-06

Repository Staff Only: item control page