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Functional failure analysis of a thermal–hydraulic passive system by means of Line Sampling

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  • Zio, E.
  • Pedroni, N.

Abstract

Assessing the failure probability of a thermal–hydraulic (T–H) passive system amounts to evaluating the uncertainties in its performance. Two different sources of uncertainties are usually considered: randomness due to inherent variability in the system behavior (aleatory uncertainty) and imprecision due to lack of knowledge and information on the system (epistemic uncertainty).

Suggested Citation

  • Zio, E. & Pedroni, N., 2009. "Functional failure analysis of a thermal–hydraulic passive system by means of Line Sampling," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1764-1781.
    • Handle: RePEc:eee:reensy:v:94:y:2009:i:11:p:1764-1781
    DOI: 10.1016/j.ress.2009.05.010
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    References listed on IDEAS

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    2. Marrel, Amandine & Iooss, Bertrand & Laurent, Béatrice & Roustant, Olivier, 2009. "Calculations of Sobol indices for the Gaussian process metamodel," Reliability Engineering and System Safety, Elsevier, vol. 94(3), pages 742-751.
    3. Burgazzi, Luciano, 2007. "Thermal–hydraulic passive system reliability-based design approach," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1250-1257.
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    5. Storlie, Curtis B. & Helton, Jon C., 2008. "Multiple predictor smoothing methods for sensitivity analysis: Description of techniques," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 28-54.
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    7. Krzykacz-Hausmann, Bernard, 2006. "An approximate sensitivity analysis of results from complex computer models in the presence of epistemic and aleatory uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1210-1218.
    8. Zio, E. & Pedroni, N., 2009. "Building confidence in the reliability assessment of thermal-hydraulic passive systems," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 268-281.
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    Citations

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    Cited by:

    1. Zio, E. & Pedroni, N., 2012. "Monte Carlo simulation-based sensitivity analysis of the model of a thermal–hydraulic passive system," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 90-106.
    2. Puppo, L. & Pedroni, N. & Maio, F. Di & Bersano, A. & Bertani, C. & Zio, E., 2021. "A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Arul, A. John & Iyer, N. Kannan & Velusamy, K., 2009. "Adjoint operator approach to functional reliability analysis of passive fluid dynamical systems," Reliability Engineering and System Safety, Elsevier, vol. 94(12), pages 1917-1926.
    4. Wang, Qianlin & Diao, Xiaoxu & Zhao, Yunfei & Chen, Feng & Yang, Guoan & Smidts, Carol, 2021. "An expert-based method for the risk analysis of functional failures in the fracturing system of unconventional natural gas," Energy, Elsevier, vol. 220(C).
    5. Francesco Di Maio & Nicola Pedroni & Barnabás Tóth & Luciano Burgazzi & Enrico Zio, 2021. "Reliability Assessment of Passive Safety Systems for Nuclear Energy Applications: State-of-the-Art and Open Issues," Energies, MDPI, vol. 14(15), pages 1-17, August.
    6. Olatubosun, Samuel Abiodun & Zhang, Zhijian, 2019. "Dependency consideration of passive system reliability by coupled stress-strength interference/functional relations of parameters approach," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 549-560.
    7. Zio, E. & Pedroni, N., 2010. "An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1300-1313.
    8. Pedroni, N. & Zio, E. & Apostolakis, G.E., 2010. "Comparison of bootstrapped artificial neural networks and quadratic response surfaces for the estimation of the functional failure probability of a thermal–hydraulic passive system," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 386-395.

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