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Mitigation of fire damage and escalation by fireproofing: A risk-based strategy

Author

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  • Tugnoli, Alessandro
  • Cozzani, Valerio
  • Di Padova, Annamaria
  • Barbaresi, Tiziana
  • Tallone, Fabrizio

Abstract

Passive fire protection by the application of fireproofing materials is a crucial safety barrier in the prevention of the escalation of fire scenarios. Fireproofing improves the capacity of process items and of support structures to maintain their structural integrity during a fire, preventing or at least delaying the collapse of structural elements. Maintenance and cost issues require, however, to apply such protection only where an actual risk of severe fire scenarios is present. Available methodologies for fireproofing application in on-shore installation do not consider the effect of jet-fires. In the present study, a risk-based methodology aimed at the protection from both pool fire and jet fire escalation was developed. The procedure addresses both the prevention of domino effect and the mitigation of asset damage due to the primary fire scenario. The method is mainly oriented to early design application, allowing the identification of fireproofing zones in the initial phases of lay-out definition.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:105:y:2012:i:c:p:25-35
    DOI: 10.1016/j.ress.2011.11.002
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    Cited by:

    1. Cerotti, Davide & Gribaudo, Marco & Bobbio, Andrea, 2014. "Markovian agents models for wireless sensor networks deployed in environmental protection," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 149-158.
    2. 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.
    3. Necci, Amos & Antonioni, Giacomo & Cozzani, Valerio & Krausmann, Elisabeth & Borghetti, Alberto & Alberto Nucci, Carlo, 2013. "A model for process equipment damage probability assessment due to lightning," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 91-99.
    4. 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.
    5. Paltrinieri, Nicola & Tugnoli, Alessandro & Cozzani, Valerio, 2015. "Hazard identification for innovative LNG regasification technologies," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 18-28.
    6. 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.
    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. Landucci, Gabriele & Necci, Amos & Antonioni, Giacomo & Argenti, Francesca & Cozzani, Valerio, 2017. "Risk assessment of mitigated domino scenarios in process facilities," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 37-53.
    9. 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.

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