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Assessment of domino effect: State of the art and research Needs

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  • Necci, Amos
  • Cozzani, Valerio
  • Spadoni, Gigliola
  • Khan, Faisal

Abstract

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.

Suggested Citation

  • Necci, Amos & Cozzani, Valerio & Spadoni, Gigliola & Khan, Faisal, 2015. "Assessment of domino effect: State of the art and research Needs," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 3-18.
    • Handle: RePEc:eee:reensy:v:143:y:2015:i:c:p:3-18
    DOI: 10.1016/j.ress.2015.05.017
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    References listed on IDEAS

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    1. Nima Khakzad & Faisal Khan & Paul Amyotte & Valerio Cozzani, 2013. "Domino Effect Analysis Using Bayesian Networks," Risk Analysis, John Wiley & Sons, vol. 33(2), pages 292-306, February.
    2. Landucci, Gabriele & Argenti, Francesca & Tugnoli, Alessandro & Cozzani, Valerio, 2015. "Quantitative assessment of safety barrier performance in the prevention of domino scenarios triggered by fire," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 30-43.
    3. Antonioni, Giacomo & Bonvicini, Sarah & Spadoni, Gigliola & Cozzani, Valerio, 2009. "Development of a framework for the risk assessment of Na-Tech accidental events," Reliability Engineering and System Safety, Elsevier, vol. 94(9), pages 1442-1450.
    4. Tugnoli, Alessandro & Cozzani, Valerio & Di Padova, Annamaria & Barbaresi, Tiziana & Tallone, Fabrizio, 2012. "Mitigation of fire damage and escalation by fireproofing: A risk-based strategy," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 25-35.
    5. Salzano, Ernesto & Cozzani, Valerio, 2005. "The analysis of domino accidents triggered by vapor cloud explosions," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 271-284.
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