Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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PRA: A PERSPECTIVE ON STRENGTHS, CURRENT LIMITATIONS, AND POSSIBLE IMPROVEMENTS

  • Mosleh, Ali (Center for Risk and Reliability, University of Maryland)
  • Received : 2014.02.20
  • Published : 2014.02.25
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Abstract

Probabilistic risk assessment (PRA) has been used in various technological fields to assist regulatory agencies, managerial decision makers, and systems designers in assessing and mitigating the risks inherent in these complex arrangements. Has PRA delivered on its promise? How do we gage PRA performance? Are our expectations about value of PRA realistic? Are there disparities between what we get and what we think we are getting form PRA and its various derivatives? Do current PRAs reflect the knowledge gained from actual events? How do we address potential gaps? These are some of the questions that have been raised over the years since the inception of the field more than forty years ago. This paper offers a brief assessment of PRA as a technical discipline in theory and practice, its key strengths and weaknesses, and suggestions on ways to address real and perceived shortcomings.

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References

  1. Reactor Safety Study, Nuclear Regulatory Commission, WASH-1400, 1975.
  2. Zion Nuclear Power Station Probabilistic Risk Analysis, PLG Inc. and Consumers Power, 1981.
  3. Indian Point Nuclear Power Station Probabilistic Risk Analysis, PLG Inc. 1981.
  4. Science Applications International Corporation, Probabilistic Risk Assessment of the Space Shuttle, 1995
  5. Ali Mosleh, N. Siu, C. Smidts, and C. Liu (Eds.) Model Uncertainty: Characterization and Quantification, University of Maryland Center for Reliability Publication, 1995.
  6. Nathan Siu, Don Marksberry, Susan Cooper, Kevin Coyne, Martin Stutzke, "PSA Technology Challenges Revealed by the Great East Japan Earthquake," PSAM Topical Conference in Light of the Fukushima Dai-Ichi Accident Tokyo, Japan, April 15-17, 2013
  7. Ali Mosleh, "Space Shuttle Columbia and PRA Methodology," Annual Meeting of the Society for Risk Analysis, Baltimore, Dec 7-10, 2003.
  8. William Vesely, "Fault Tree Handbook with Aerospace Applications," NASA- Prepared for NASA Office of Safety and Mission Assurance, August, 2002
  9. Houtermans, M.J.M., Apostolakis, G.E., Brombacher, A.C. & Karydas, D.M. (2002). The dynamic flowgraph methodology as a safety analysis tool : programmable electronic system design and verification. Safety Science, 40(9), 813-833 https://doi.org/10.1016/S0925-7535(01)00087-X
  10. Katrina Groth, Chengdong Wang, Ali Mosleh "Hybrid causal methodology and software platform for probabilistic risk assessment and safety monitoring of socio-technical systems" Reliability Engineering and System Safety, 95(2010) 1276-1285 https://doi.org/10.1016/j.ress.2010.06.005
  11. Tunc Aldemir et al A Benchmark Implementation of Two Dynamic Methodologies for the Reliability Modeling of Digital Instrumentation and Control Systems, Office of Nuclear Regulatory Research U.S. Nuclear Regulatory Commission, NUREG/CR-6985
  12. Chang, Y.H.J. and A. Mosleh, "Cognitive Modeling and Dynamic Probabilistic Simulation of Operating Crew Response to Complex System Accidents -- Part 5 Dynamic Probabilistic Simulation of IDAC Model," Reliability Engineering & System Safety, 2007, 92(8): 1076-1101. https://doi.org/10.1016/j.ress.2006.05.012
  13. Kevin Coyne and Nathan Siu, "Simulation-Based Analysis for Nuclear Power Plant Risk Assessment: Opportunities and Challenges" Proceeding of the ANS Embedded Conference on Risk Management for Complex Socio-Technical Systems, Washington DC, Nov 2013

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