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Assessment of safety barrier performance in Natech scenarios

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  • Misuri, Alessio
  • Landucci, Gabriele
  • Cozzani, Valerio

Abstract

The impact of natural hazards on chemical and process facilities may lead to catastrophic technological accidents defined as Natech events. In the present study, a performance assessment of safety barriers during extreme natural events as floods and earthquakes was carried out. Assessing the performance of safety barriers during such complex scenarios is a key issue to identify the final consequences and the evolution of Natech events. Due to the scarcity of available data, an anonymous survey was carried out, involving more than 40 experts of different nationalities and background. Categories of safety barriers highly vulnerable to the impact of natural events were identified. Baseline values for performance modification factors describing how barrier performance may be affected by floods and earthquakes were obtained from the expert elicitation procedure. The results may support the probabilistic analysis of Natech scenarios, in order to achieve a more accurate assessment of final consequences and of possible escalation.

Suggested Citation

  • Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2020. "Assessment of safety barrier performance in Natech scenarios," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
  • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019306179
    DOI: 10.1016/j.ress.2019.106597
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    Cited by:

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    3. Tao Zeng & Guohua Chen & Yunfeng Yang & Genserik Reniers & Yixin Zhao & Xia Liu, 2020. "A Systematic Literature Review on Safety Research Related to Chemical Industrial Parks," Sustainability, MDPI, vol. 12(14), pages 1-27, July.
    4. Guo, Xiaoxue & Ding, Long & Ji, Jie & Cozzani, Valerio, 2022. "A cost-effective optimization model of safety investment allocation for risk reduction of domino effects," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    5. Patriarca, Riccardo & De Paolis, Alessandro & Costantino, Francesco & Di Gravio, Giulio, 2021. "Simulation model for simple yet robust resilience assessment metrics for engineered systems," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    6. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of safety barrier performance in the mitigation of domino scenarios caused by Natech events," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    7. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of risk modification due to safety barrier performance degradation in Natech events," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    8. Deng, Wanyi & Ma, Xiaoxue & Qiao, Weiliang, 2024. "A novel methodology to quantify the impact of safety barriers on maritime operational risk based on a probabilistic network," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    9. 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).
    10. Misuri, Alessio & Ricci, Federica & Sorichetti, Riccardo & Cozzani, Valerio, 2023. "The Effect of Safety Barrier Degradation on the Severity of Primary Natech Scenarios," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    11. Ricci, Federica & Misuri, Alessio & Scarponi, Giordano Emrys & Cozzani, Valerio & Demichela, Micaela, 2024. "Vulnerability Assessment of Industrial Sites to Interface Fires and Wildfires," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    12. Khakzad, Nima & Cozzani, Valerio, 2020. "Special issue: Quantitative assessment and risk management of Natech accidents," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    13. Yuan, Shuaiqi & Cai, Jitao & Reniers, Genserik & Yang, Ming & Chen, Chao & Wu, Jiansong, 2022. "Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

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