An optimal procedure for fragility analysis of nuclear containment structures under internal pressure

This study aims to develop a novel efficient procedure for determining the fragility function of nuclear containment structures under internal pressure. This procedure can substantially reduce the computational cost by optimizing the required number of nonlinear structural analyses, which is initially unclear in the pressure fragility analysis. The core principle of the proposed procedure is to monitor the changes of the mean ( P m ) and standard deviation ( β S ) of ultimate pressure at failure while gradually increasing the number of structural analyses. The process is terminated when the changes in P m and β S between two consecutive steps drop below a prescribed threshold. The proposed procedure was applied to the pressure fragility analysis of an existing type of containment structure. Since the proposed procedure involves the random selection of additional value sets of the uncertainty parameters at each step, it was repeated 10 times to ensure a fair evaluation. The fragility curve obtained from as small as 40 analyses was nearly identical to that from 100 analyses. On average, over the 10 repeated cases, the computation time was reduced by approximately 47 % compared to the case of 100 analyses. The results confirm that the proposed procedure not only significantly reduced the computational demand but also ensured the reliable generation of the pressure fragility function.

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Publication Details

Journal
Nuclear Engineering and Technology
Published
2024-12-25
DOI
https://doi.org/10.1016/j.net.2024.103408
Citations
5
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
2.31

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article

An optimal procedure for fragility analysis of nuclear containment structures under internal pressure

Chanyoung Kim, Hoang D. Nguyen, Myoungsu Shin
5 citations
Nuclear Engineering and Technology
Probabilistic and Robust Engineering Design
2.31
article

An optimal procedure for fragility analysis of nuclear containment structures under internal pressure

Chanyoung Kim, Hoang D. Nguyen, Myoungsu Shin
article en
5 citations

Abstract

This study aims to develop a novel efficient procedure for determining the fragility function of nuclear containment structures under internal pressure. This procedure can substantially reduce the computational cost by optimizing the required number of nonlinear structural analyses, which is initially unclear in the pressure fragility analysis. The core principle of the proposed procedure is to monitor the changes of the mean ( P m ) and standard deviation ( β S ) of ultimate pressure at failure while gradually increasing the number of structural analyses. The process is terminated when the changes in P m and β S between two consecutive steps drop below a prescribed threshold. The proposed procedure was applied to the pressure fragility analysis of an existing type of containment structure. Since the proposed procedure involves the random selection of additional value sets of the uncertainty parameters at each step, it was repeated 10 times to ensure a fair evaluation. The fragility curve obtained from as small as 40 analyses was nearly identical to that from 100 analyses. On average, over the 10 repeated cases, the computation time was reduced by approximately 47 % compared to the case of 100 analyses. The results confirm that the proposed procedure not only significantly reduced the computational demand but also ensured the reliable generation of the pressure fragility function.

Nuclear Engineering and TechnologyVol. 57(6)
University of Alberta (CA), Ulsan National Institute of Science and Technology (KR)
Ministry of Education, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Korea Institute of Energy Technology Evaluation and Planning
Climate action
Openalex Percentile: Top 10%
Probabilistic and Robust Engineering Design
2.31
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An optimal procedure for fragility analysis of nuclear containment structures under internal pressure — Chanyoung Kim, Hoang D. Nguyen, et al. · Nuclear Engineering and Technology (2024) | TGRS Research Map | TGRS