open access

https://hdl.handle.net/2115/100422

Reliability analysis of passive safety system of small reactor under different Monte Carlo methods

英語

IRIS Reactor

2026-07-01

Proceedings of the 10th International Symposium on Reliability Engineering and Risk Management (ISRERM 2026)

Due to the inherent safety of passive systems, the failure probability of reactor passive systems is extremely low. Calculating the failure probability of passive systems using Monte Carlo sampling would consume a significant amount of computational resources for running thermal-hydraulic codes. To alleviate the computational burden, this paper first compares Subset Simulation, Subset Simulation Importance Sampling, and other methods across multiple numerical cases. It then contrasts Monte Carlo methods accelerated by surrogate models, specifically the Active Learning Reliability Method Combining Kriging and Monte Carlo Simulation (AK-MCS) and the Adaptive Metamodel Subset Simulation Importance Sampling (AM-SIS). Finally, the paper employs the AK-MCS and AM-SIS methods to calculate the failure probability of the Emergency Heat Removal System (EHRS) of the International Reactor Innovative and Secure (IRIS) reactor.

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