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Development of a new quantification method for a fire PSA

Author

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  • Jung, Woo Sik
  • Lee, Yoon-Hwan
  • Yang, Joon-Eon

Abstract

For an internal fire analysis, fire scenarios are developed carefully and quantified in a sequential and iterative way in a traditional fire Probabilistic Safety Assessment (PSA). However, there has been no proven explicit method to avoid these iterative quantifications till now. This study presents the Jung's Single Top And Run (JSTAR) method that facilitates a simultaneous single quantification of all fire scenarios. The JSTAR method could be employed at the fire PSA phases of a quantitative screening or detailed analysis. Using the JSTAR method, accurate fire risks of a fault tree that has many negates could be calculated by avoiding the frequent house event propagations of the fire scenario conditions. Furthermore, the proposed JSTAR method is a simple and explicit method to build a single-top external event PSA model for a risk-monitoring system.

Suggested Citation

  • Jung, Woo Sik & Lee, Yoon-Hwan & Yang, Joon-Eon, 2009. "Development of a new quantification method for a fire PSA," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1650-1657.
    • Handle: RePEc:eee:reensy:v:94:y:2009:i:10:p:1650-1657
    DOI: 10.1016/j.ress.2009.04.004
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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.

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