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Uncertainty in External Hazard Probabilistic Risk Assessment (PRA): A Structured Taxonomy

  • Michelle Bensi
  • , Somayeh Mohammadi
  • , Nilanjana Ghosh
  • , Tao Liu
  • , Camille Levine
  • , Ahmad Al-Douri
  • , Ray Schneider
  • , Zeyun Wu
  • , Katrina Groth
  • , Zhegang Ma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Probabilistic risk assessment (PRA) systematically assesses the risks posed to or by a complex system such as a nuclear power plant. Such systems are often comprised of physical structures, mechanical components, and humans that interact with or control the system or respond to system upsets. This complex interdependence leads to many sources of uncertainty that must be characterized in the PRA. This problem is exacerbated when exploring the impacts of external hazards (e.g., earthquakes, floods, and fires) on complex systems due to the additional need to understand and characterize the hazard and its impacts. This study defines a framework for identifying and categorizing the common sources of uncertainty encountered in performing external hazard PRAs for nuclear power plants. The framework may be more generally applicable to the assessment of a wide range of facilities involving potentially high consequence external hazard events. Commentary on drivers of uncertainty in external hazard PRA (XHPRA) (particularly within the context of external flooding hazards) and current gaps/challenges are also provided.

Original languageEnglish
Title of host publication16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022
StatePublished - 2022
Event16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022 - Honolulu, United States
Duration: Jun 26 2022 → Jul 1 2022

Conference

Conference16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022
Country/TerritoryUnited States
CityHonolulu
Period06/26/22 → 07/1/22

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