Passive design is adopted by many advanced reactors to enhance safety,and reliability assessment is im-portant for its wide application.A passive safety system is more susceptible to uncertainties because its work de-pends on physical laws such as natural circulation.Thermal hydraulics process failure is the main contribution to passive system failure;however,traditional methods such as fault tree analysis are unavailable for analyzing this type of failure possibility.In this study,a surrogate model is trained with thermal-hydraulic simulation results.Fur-thermore,the adaptive sampling strategy is applied to effectively reduce the call times of the thermal hydraulics pro-gram.The algorithm is validated using a highly nonlinear test function and then applied to a passive residual heat removal system of an integral-type pressurized water reactor.The calculation results indicate that the adaptive Krig-ing model has higher computational efficiency than traditional Monte Carlo and Kriging model methods.
关键词
非能动安全系统/可靠性/代理模型/概率安全分析/一体化压水堆/RELAP5/自适应抽样
Key words
passive safety system/reliability/surrogate model/probabilistic safety analysis/integral pressurized water reactor/RELAP5/adaptive sampling
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