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A risk model of passenger ship fire safety and its application

Author

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  • Spyrou, Kostas J.
  • Koromila, Ioanna A.

Abstract

A risk model for assessing a passenger ship's fire safety at the design stage is proposed. Current maritime legislation requires, in principle, compliance with prescriptive regulations of fire prevention, protection and extinction. In a forward step, the International Maritime Organization (IMO) permitted acceptance of fire-safety-equivalent designs on the basis of performance-based assessment procedures. However, the inherent randomness of onboard fire events has not yet been systematically accounted. In this respect, procedures currently applied for fire safety evaluation during ship design, lag behind those applied for the avoidance of ship capsize due to watertight compartments’ flooding, where a probabilistic approach has been in place since long ago. The current work is intended to enhance the probabilistic character of performance-based ship fire assessments; and to establish a consistent risk calculation framework which could also serve in the future as the backbone model of a more integrated approach to ship risk calculation. The core of the proposed model is a risk function combining the probability of ignition, the reliability of the installed suppression systems, and the prediction of the loss given a fire's growth. Design details, such as the space layout and the interior design materials, are fully taken into account. The estimation of the loss is realized by high fidelity simulations. The loss appears in the form of a distribution of fatalities. Several practical risk indices are extracted from the risk function, reflecting potential designer preferences. For demonstrating the practicality of the proposed risk model, a part of a cruise ship's fire zone, accommodating public spaces, is considered. The fire safety performance of the design is evaluated by using the extracted risk indices whose consistency in reflecting the safety level are discussed.

Suggested Citation

  • Spyrou, Kostas J. & Koromila, Ioanna A., 2020. "A risk model of passenger ship fire safety and its application," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:reensy:v:200:y:2020:i:c:s0951832019307896
    DOI: 10.1016/j.ress.2020.106937
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    References listed on IDEAS

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    1. Flage, Roger & Aven, Terje & Berner, Christine L., 2018. "A comparison between a probability bounds analysis and a subjective probability approach to express epistemic uncertainties in a risk assessment context – A simple illustrative example," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 1-10.
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    Cited by:

    1. Wang, Xinjian & Xia, Guoqing & Zhao, Jian & Wang, Jin & Yang, Zaili & Loughney, Sean & Fang, Siming & Zhang, Shukai & Xing, Yongheng & Liu, Zhengjiang, 2023. "A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    2. Ruponen, Pekka & Montewka, Jakub & Tompuri, Markus & Manderbacka, Teemu & Hirdaris, Spyros, 2022. "A framework for onboard assessment and monitoring of flooding risk due to open watertight doors for passenger ships," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    3. Liu, Zhichen & Li, Ying & Zhang, Zhaoyi & Yu, Wenbo, 2022. "A new evacuation accessibility analysis approach based on spatial information," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. Song, Chengcheng & Shao, Quan & Zhu, Pei & Dong, Min & Yu, Wenfei, 2023. "An emergency aircraft evacuation simulation considering passenger overtaking and luggage retrieval," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    5. Mauro, Francesco & Vassalos, Dracos & Paterson, Donald, 2022. "Critical damages identification in a multi-level damage stability assessment framework for passenger ships," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    6. Dinesh, A. & Benson, C.M. & Holborn, P.G. & Sampath, S. & Xiong, Y., 2020. "Performance evaluation of nitrogen for fire safety application in aircraft," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    7. Dorota Łozowicka, 2021. "The design of the arrangement of evacuation routes on a passenger ship using the method of genetic algorithms," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-20, August.
    8. Weiliang Qiao & Yang Liu & Xiaoxue Ma & He Lan, 2021. "Cognitive Gap and Correlation of Safety-I and Safety-II: A Case of Maritime Shipping Safety Management," Sustainability, MDPI, vol. 13(10), pages 1-24, May.

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