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Simple method based on sensitivity coefficient for stochastic uncertainty analysis in probabilistic risk assessment

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  • Takeda, Satoshi
  • Kitada, Takanori

Abstract

For the analysis of stochastic uncertainty in probabilistic risk assessment, a simple method based on the sensitivity coefficient was developed. The sensitivity coefficient can be defined as the importance of the parameter included in the risk assessment model to the output such as the probability of the target event. When the contribution of the parameter to the output is assumed to be linear, the sensitivity coefficient equals Fussell-Vesely importance. The present method does not require a lot of calculation cost and can treat the covariance of the parameters included in the risk assessment directly. The result obtained by the present method was compared with that obtained by other methods such as the Monte Carlo method in the analysis of the simple fault tree model. The results of the present method agree well with Monte Carlo method in the analysis of the fault tree model with β factor method and that with the Multiple Greek Letter method.

Suggested Citation

  • Takeda, Satoshi & Kitada, Takanori, 2021. "Simple method based on sensitivity coefficient for stochastic uncertainty analysis in probabilistic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:reensy:v:209:y:2021:i:c:s0951832021000399
    DOI: 10.1016/j.ress.2021.107471
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    References listed on IDEAS

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    1. Tan, Samson & Moinuddin, Khalid, 2019. "Systematic review of human and organizational risks for probabilistic risk analysis in high-rise buildings," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 233-250.
    2. Zhao, Yunfei & Huang, Linan & Smidts, Carol & Zhu, Quanyan, 2020. "Finite-horizon semi-Markov game for time-sensitive attack response and probabilistic risk assessment in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    3. Kwag, Shinyoung & Gupta, Abhinav & Dinh, Nam, 2018. "Probabilistic risk assessment based model validation method using Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 380-393.
    4. Kamyab, Shahabeddin & Nematollahi, Mohammadreza & Henneaux, Pierre & Labeau, Pierre-Etienne, 2021. "Development of a hybrid method to assess grid-related LOOP scenarios for an NPP," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    5. Sakurahara, Tatsuya & Mohaghegh, Zahra & Reihani, Seyed & Kee, Ernie & Brandyberry, Mark & Rodgers, Shawn, 2018. "An integrated methodology for spatio-temporal incorporation of underlying failure mechanisms into fire probabilistic risk assessment of nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 242-257.
    6. Kelly, Dana L. & Smith, Curtis L., 2009. "Bayesian inference in probabilistic risk assessment—The current state of the art," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 628-643.
    7. Ronald L. Iman & Jon C. Helton, 1991. "The Repeatability of Uncertainty and Sensitivity Analyses for Complex Probabilistic Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 11(4), pages 591-606, December.
    8. Silva, Kampanart & Okamoto, Koji, 2018. "Discussion on probability of cesium-137 release exceeding 100 TBq as a part of the consideration of nuclear power plant probabilistic risk criteria for environmental protection," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 88-93.
    9. Ashraf Ben El‐Shanawany & Keith H. Ardron & Simon P. Walker, 2018. "Lognormal Approximations of Fault Tree Uncertainty Distributions," Risk Analysis, John Wiley & Sons, vol. 38(8), pages 1576-1584, August.
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    Cited by:

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    4. Ebrahimi, Mehrdad & Nobahar, Elnaz & Mohammadi, Reza Karami & Noroozinejad Farsangi, Ehsan & Noori, Mohammad & Li, Shaofan, 2023. "The influence of model and measurement uncertainties on damage detection of experimental structures through recursive algorithms," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    5. Yılmaz, Emre & German, Brian J. & Pritchett, Amy R., 2023. "Optimizing resource allocations to improve system reliability via the propagation of statistical moments through fault trees," Reliability Engineering and System Safety, Elsevier, vol. 230(C).

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