Development of efficient complete-sampling-based seismic PSA method for nuclear power plant

Shinyoung Kwag, Junhee Park and In-Kil Choi

Reliability Engineering and System Safety, 2020, vol. 197, issue C

Abstract: In this study, we propose an enhanced complete-sampling-based seismic PSA quantification technique that can precisely treat the partial correlations among components of seismic fragility information. Specifically, we have developed an improved seismic PSA quantification code by combining advantages of two representative methodologies: EPRI separation of variables approach-seismic fragility input based quantification method and the JAERI seismic fragility input based SECOM2-DQFM technique [31]. The most important feature of the proposed method is that it maps the EPRI seismic fragility input into the JAERI seismic fragility input space and then utilizes the improved DQFM algorithm as a seismic PSA quantification method. The improvement in the existing DQFM algorithm lies in extracting samples only from the median seismic intensity level (Am) and re-using such samples by scaling their values, instead of extracting samples of the response R and the capacity C regarding all seismic intensity levels. From the results of applying the proposed method to simple examples and an actual nuclear power plant, it is confirmed that the method proposed in this study derives results for system seismic fragility and seismic risk that are close to the exact solutions using fewer samples than the existing DQFM does.

Keywords: Seismic probabilistic safety assessment (PSA); Nuclear power plant (NPP); Seismic correlation; DQFM; Latin hypercube sampling (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:197:y:2020:i:c:s0951832019304521

DOI: 10.1016/j.ress.2020.106824

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