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Application of event sequence diagram to evaluate emergency response actions during fire-induced domino effects

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  • Zhou, Jianfeng
  • Reniers, Genserik
  • Khakzad, Nima

Abstract

Emergency response actions can significantly influence the propagation of domino effects, particularly those triggered by fires. Thus, the performance and efficiency of devised emergency response actions should be carefully evaluated and taken into account when analyzing the propagation of domino effects and their risk. In the present study, we have introduced a methodology based on Event Sequence Diagram (ESD) to evaluate and prioritize different emergency response actions based on their efficiency in preventing or delaying the propagation of domino effect. Using the developed methodology, the risk of domino effects under emergency response actions can be assessed, while considering factors such as sequence, duration, correctness, and mutual interaction of the emergency response actions. We demonstrated the application of the methodology in analyzing the effect of emergency response actions on fire-induced domino effects in a fuel storage plant; the comparison of the results with previous studies illustrates the efficacy and practicality of the developed methodology.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:150:y:2016:i:c:p:202-209
    DOI: 10.1016/j.ress.2016.02.005
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    References listed on IDEAS

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    Cited by:

    1. Chen, Chao & Yang, Ming & Reniers, Genserik, 2021. "A dynamic stochastic methodology for quantifying HAZMAT storage resilience," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Khakzad, Nima & Landucci, Gabriele & Cozzani, Valerio & Reniers, Genserik & Pasman, Hans, 2018. "Cost-effective fire protection of chemical plants against domino effects," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 412-421.
    3. Ovidi, Federica & Zhang, Laobing & Landucci, Gabriele & Reniers, Genserik, 2021. "Agent-based model and simulation of mitigated domino scenarios in chemical tank farms," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    4. Nima Khakzad, 2018. "Which Fire to Extinguish First? A Risk‐Informed Approach to Emergency Response in Oil Terminals," Risk Analysis, John Wiley & Sons, vol. 38(7), pages 1444-1454, July.
    5. Ricci, Federica & Yang, Ming & Reniers, Genserik & Cozzani, Valerio, 2024. "Emergency response in cascading scenarios triggered by natural events," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    6. Stephen Thomas & Katrina M Groth, 2023. "Toward a hybrid causal framework for autonomous vehicle safety analysis," Journal of Risk and Reliability, , vol. 237(2), pages 367-388, April.
    7. Khakzad, Nima & Landucci, Gabriele & Reniers, Genserik, 2017. "Application of dynamic Bayesian network to performance assessment of fire protection systems during domino effects," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 232-247.
    8. Feng, Jian Rui & Yu, Guanghui & Zhao, Mengke & Zhang, Jiaqing & Lu, Shouxiang, 2022. "Dynamic risk assessment framework for industrial systems based on accidents chain theory: The case study of fire and explosion risk of UHV converter transformer," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    9. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    10. Maidana, Renan G. & Parhizkar, Tarannom & Gomola, Alojz & Utne, Ingrid B. & Mosleh, Ali, 2023. "Supervised dynamic probabilistic risk assessment: Review and comparison of methods," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    11. Parhizkar, Tarannom & Vinnem, Jan Erik & Utne, Ingrid Bouwer & Mosleh, Ali, 2021. "Supervised Dynamic Probabilistic Risk Assessment of Complex Systems, Part 1: General Overview," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    12. 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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    14. Khakzad, Nima, 2023. "A goal programming approach to multi-objective optimization of firefighting strategies in the event of domino effects," Reliability Engineering and System Safety, Elsevier, vol. 239(C).

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