ScholarWorks@중앙대학교

초록

Human actions are significant risk contributors in the probabilistic safety assessment of nuclear power plants. In the human reliability analysis (HRA), human failure events are typically treated as dependent events. Accordingly, various studies have been conducted for the dependency assessment in HRA. Performance shaping factors (PSFs), which influence human performance, are a key element in HRA. In conventional HRA models, PSFs are analyzed based on specific conditions affecting human performance. However, in reality, PSFs inherently involve randomness, and this uncertainty should be incorporated into the estimation of human error probabilities. This paper proposes a dependency assessment method that integrates the randomness of PSFs. A statistical framework is presented to explain the sources of dependency and to provide a calculation method based on PSFs. A case example is included to demonstrate the impact of such dependency. The proposed approach is particularly useful in situations where PSFs exhibit large variability.

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