An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems

E. Zio and N. Pedroni

Reliability Engineering and System Safety, 2010, vol. 95, issue 12, 1300-1313

Abstract: The quantitative reliability assessment of a thermal–hydraulic (T–H) passive safety system of a nuclear power plant can be obtained by (i) Monte Carlo (MC) sampling the uncertainties of the system model and parameters, (ii) computing, for each sample, the system response by a mechanistic T–H code and (iii) comparing the system response with pre-established safety thresholds, which define the success or failure of the safety function. The computational effort involved can be prohibitive because of the large number of (typically long) T–H code simulations that must be performed (one for each sample) for the statistical estimation of the probability of success or failure.

Keywords: Functional failure probability; Passive system; Line Sampling; Important direction; Variance minimization; Artificial neural network; Genetic algorithm; Computational cost (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:95:y:2010:i:12:p:1300-1313

DOI: 10.1016/j.ress.2010.06.007

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