Skip to main navigation Skip to search Skip to main content

Augmenting probabilistic risk assessment with malevolent initiators

  • Curtis Smith
  • , David Schwieder
  • , Trond Bjornard

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As commonly practiced, the use of probabilistic risk assessment (PRA) in nuclear power plants only considers accident initiators such as natural hazards, equipment failures, and human error. Malevolent initiators are ignored in PRA, but are considered the domain of physical security, which uses vulnerability assessment based on an officially specified threat (design basis threat). This work explores the implications of augmenting and extending existing PRA models by considering new and modified scenarios resulting from malevolent initiators. Teaming the augmented PRA models with conventional vulnerability assessments can cost-effectively enhance security of a nuclear power plant. This methodology is useful for operating plants, as well as in the design of new plants. For the methodology, we have proposed an approach that builds on and extends the practice of PRA for nuclear power plants for security-related issues. Rather than only considering "random" failures, we demonstrated a framework that is able to represent and model malevolent initiating events and associated plant impacts.

Original languageEnglish
Title of host publicationTransportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages489-498
Number of pages10
ISBN (Print)9780791854952
DOIs
StatePublished - 2011
EventASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011 - Denver, CO, United States
Duration: Nov 11 2011Nov 17 2011

Publication series

NameASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011
Volume9

Conference

ConferenceASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011
Country/TerritoryUnited States
CityDenver, CO
Period11/11/1111/17/11

Fingerprint

Dive into the research topics of 'Augmenting probabilistic risk assessment with malevolent initiators'. Together they form a unique fingerprint.

Cite this