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The analysis of domino accidents triggered by vapor cloud explosions

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  • Salzano, Ernesto
  • Cozzani, Valerio

Abstract

Domino effect is a well-known cause of severe accidents in the chemical and process industry. Several studies pointed out that the more critical step in the quantitative assessment of domino hazards is the availability of reliable models to estimate the possibility and probability of the escalation of primary accidents. This work focused on the revision of available models for the quantitative estimation of damage probability to plant equipment caused by pressure waves generated by a primary accident. Available data on damages to process equipment caused by pressure waves were analyzed. Several specific probit functions for different elements of process equipment were obtained from the analysis of failure data. The analysis of blast wave propagation in different types of explosions allowed the estimation of the expected damage probability as a function of distance from the explosion center and of explosion strength. The results obtained were used to assess safety distance criteria and to evaluate the contribution to individual risk of domino effect due to pressure waves.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:90:y:2005:i:2:p:271-284
    DOI: 10.1016/j.ress.2004.11.012
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    Citations

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    Cited by:

    1. Weili Duan & Bin He, 2015. "Emergency Response System for Pollution Accidents in Chemical Industrial Parks, China," IJERPH, MDPI, vol. 12(7), pages 1-18, July.
    2. Argenti, Francesca & Landucci, Gabriele & Reniers, Genserik & Cozzani, Valerio, 2018. "Vulnerability assessment of chemical facilities to intentional attacks based on Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 515-530.
    3. 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.
    4. Wu Jun & Yang Hui & Cheng Yuan, 2015. "Domino Effect Analysis, Assessment and Prevention in Process Industries," Journal of Systems Science and Information, De Gruyter, vol. 3(6), pages 481-498, December.
    5. Zhou, Jianfeng & Reniers, Genserik & Khakzad, Nima, 2016. "Application of event sequence diagram to evaluate emergency response actions during fire-induced domino effects," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 202-209.
    6. Celano, Francesca & Dolšek, Matjaž, 2021. "Fatality risk estimation for industrialized urban areas considering multi-hazard domino effects triggered by earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    7. Landucci, Gabriele & Reniers, Genserik & Cozzani, Valerio & Salzano, Ernesto, 2015. "Vulnerability of industrial facilities to attacks with improvised explosive devices aimed at triggering domino scenarios," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 53-62.
    8. Li, Xiaofeng & Chen, Guohua & Amyotte, Paul & Khan, Faisal & Alauddin, Mohammad, 2023. "Vulnerability assessment of storage tanks exposed to simultaneous fire and explosion hazards," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    9. Jianfeng Zhou & Genserik Reniers, 2020. "Probabilistic Analysis of Domino Effects by Using a Matrix‐Based Simulation Approach," Risk Analysis, John Wiley & Sons, vol. 40(10), pages 1913-1927, October.

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