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Science and Technology of Nuclear Installations
Volume 2008, Article ID 340164, 9 pages
http://dx.doi.org/10.1155/2008/340164
Research Article

Bootstrap and Order Statistics for Quantifying Thermal-Hydraulic Code Uncertainties in the Estimation of Safety Margins

Department of Nuclear Engineering, Polytechnic of Milan, Via Ponzio 34/3, Milano 20133, Italy

Received 30 April 2007; Revised 8 December 2007; Accepted 21 December 2007

Academic Editor: Cesare Frepoli

Copyright © 2008 Enrico Zio and Francesco Di Maio. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [14 citations]

The following is the list of published articles that have cited the current article.

  • Ricky J. Sethi, “A Perceptually-Inspired Stochastic Framework for Video Search and Analysis,” Proceedings of the 1st International Workshop on Perception Inspired Video Processing - PIVP '14, pp. 21–26, . View at Publisher · View at Google Scholar
  • Piercesare Secchi, Enrico Zio, and Francesco Di Maio, “Quantifying uncertainties in the estimation of safety parameters by using bootstrapped artificial neural networks,” Annals of Nuclear Energy, vol. 35, no. 12, pp. 2338–2350, 2008. View at Publisher · View at Google Scholar
  • Enrico Zio, Francesco Di Maio, and Jiejuan Tong, “Safety margins confidence estimation for a passive residual heat removal system,” Reliability Engineering & System Safety, vol. 95, no. 8, pp. 828–836, 2010. View at Publisher · View at Google Scholar
  • Ricky J. Sethi, Amit K. Roy-Chowdhury, and Ashok Veeraraghavanpp. 206–234, 2011. View at Publisher · View at Google Scholar
  • Francesco Di Maio, Giancarlo Nicola, Enrico Zio, and Yu Yu, “Ensemble-based sensitivity analysis of a Best Estimate Thermal Hydraulics model: Application to a Passive Containment Cooling System of an AP1000 Nuclear Power Plant,” Annals of Nuclear Energy, vol. 73, pp. 200–210, 2014. View at Publisher · View at Google Scholar
  • Francesco Di Maio, Ajit Rai, and Enrico Zio, “A Dynamic Probabilistic Safety Margin Characterization Approach In Support Of Integrated Deterministic And Probabilistic Safety Analysis,” Reliability Engineering & System Safety, 2015. View at Publisher · View at Google Scholar
  • Francesco Di Maio, Giancarlo Nicola, Enrico Zio, and Yu Yu, “Finite mixture models for sensitivity analysis of thermal hydraulic codes for passive safety systems analysis,” Nuclear Engineering and Design, vol. 289, pp. 144–154, 2015. View at Publisher · View at Google Scholar
  • Seyed Mohsen Hoseyni, Francesco Di Maio, Matteo Vagnoli, Enrico Zio, and Mohammad Pourgol-Mohammad, “A Bayesian ensemble of sensitivity measures for severe accident modeling,” Nuclear Engineering and Design, vol. 295, pp. 182–191, 2015. View at Publisher · View at Google Scholar
  • Francesco Di Maio, Giancarlo Nicola, Emanuele Borgonovo, and Enrico Zio, “Invariant methods for an ensemble-based sensitivity analysis of a passive containment cooling system of an AP1000 nuclear power plant,” Reliability Engineering & System Safety, 2015. View at Publisher · View at Google Scholar
  • Francesco Di Maio, Alessandro Bandini, Enrico Zio, Sofia Carlos Alberola, Francisco Sanchez-Saez, and Sebastián Martorell, “Bootstrapped-Ensemble-Based Sensitivity Analysis Of A Trace Thermal-Hydraulic Model Based On A Limited Number Of Pwr Large Break Loca Simulations,” Reliability Engineering & System Safety, 2016. View at Publisher · View at Google Scholar
  • Francesco Di Maio, Alessandro Bandini, Enrico Zio, Andrea Alfonsi, and Cristian Rabiti, “An approach based on Support Vector Machines and a K-D Tree search algorithm for identification of the failure domain and safest operating conditions in nuclear systems,” Progress in Nuclear Energy, vol. 88, pp. 297–309, 2016. View at Publisher · View at Google Scholar
  • Francesco Di Maio, Claudia Picoco, Enrico Zio, and Valentin Rychkov, “Safety Margin Sensitivity Analysis For Model Selection In Nuclear Power Plant Probabilistic Safety Assessment,” Reliability Engineering & System Safety, 2017. View at Publisher · View at Google Scholar
  • Francesco Di Maio, Alessandro Bandini, Michele Damato, and Enrico Zio, “A Regional Sensitivity Analysis-based Expert System for safety margins control,” Nuclear Engineering and Design, vol. 330, pp. 400–408, 2018. View at Publisher · View at Google Scholar
  • F. Sanchez-Saez, A.I. Sánchez, J.F. Villanueva, S. Carlos, and S. Martorell, “Uncertainty analysis of a Large Break Loss of Coolant Accident in a Pressurized Water Reactor using non-parametric methods,” Reliability Engineering & System Safety, 2018. View at Publisher · View at Google Scholar