Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Identification of Fire Modeling Issues Based on an Analysis of Real Events from the OECD FIRE Database

  • Received : 2016.11.14
  • Accepted : 2017.01.10
  • Published : 2017.04.25
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Abstract

Precursor analysis is widely used in the nuclear industry to judge the significance of events relevant to safety. However, in case of events that may damage equipment through effects that are not ordinary functional dependencies, the analysis may not always fully appreciate the potential for further evolution of the event. For fires, which are one class of such events, this paper discusses modelling challenges that need to be overcome when performing a probabilistic precursor analysis. The events used to analyze are selected from the Organisation for Economic Cooperation and Development (OECD) Fire Incidents Records Exchange (FIRE) Database.

Keywords

References

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  1. Maximum likelihood estimation of probabilistic non-suppression model for OECD NPP electrical fire applying non-negative continuous distribution vol.122, pp.None, 2017, https://doi.org/10.1016/j.firesaf.2021.103323