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Article

Development of a Software Tool for Seismic Probabilistic Safety Assessment Quantification with a Sufficiently Large Number of Bins for Enhanced Accuracy

Department of Energy Systems Engineering, Chung-Ang University, Seoul 06974, Korea
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Author to whom correspondence should be addressed.
Energies 2021, 14(6), 1677; https://doi.org/10.3390/en14061677
Submission received: 4 February 2021 / Revised: 2 March 2021 / Accepted: 10 March 2021 / Published: 17 March 2021

Abstract

Quantification in seismic probabilistic safety assessment (PSA) includes the convolution of hazard and fragility curves. Because it is difficult to find the closed-form integration for the convolution of two curves, numerical methods are widely used in practice. In practical applications, the number of ground motion level bins in numerical methods is limited, and it is not clear whether the limited number of bins leads to conservative or optimistic results. In this study, the effect of the number of bins on the quantification results with simplified assumptions is investigated. It is found that the quantification results mostly decrease as the number of bins increases. To enhance accuracy in the quantification results of seismic PSA, a method and a software tool that enable a sufficiently large number of bins to be used for the quantification of seismic PSA models are developed. The application of the developed software tool to an example seismic PSA model demonstrates how the quantification results approach accurate results as the number of bins increases. The software tool developed in this study is expected to enhance the accuracy of seismic PSA quantification results.
Keywords: seismic risk; probabilistic safety assessment; quantification; numerical method; discretization; ground motion level seismic risk; probabilistic safety assessment; quantification; numerical method; discretization; ground motion level

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MDPI and ACS Style

Kim, J.S.; Kim, M.C. Development of a Software Tool for Seismic Probabilistic Safety Assessment Quantification with a Sufficiently Large Number of Bins for Enhanced Accuracy. Energies 2021, 14, 1677. https://doi.org/10.3390/en14061677

AMA Style

Kim JS, Kim MC. Development of a Software Tool for Seismic Probabilistic Safety Assessment Quantification with a Sufficiently Large Number of Bins for Enhanced Accuracy. Energies. 2021; 14(6):1677. https://doi.org/10.3390/en14061677

Chicago/Turabian Style

Kim, Ji Suk, and Man Cheol Kim. 2021. "Development of a Software Tool for Seismic Probabilistic Safety Assessment Quantification with a Sufficiently Large Number of Bins for Enhanced Accuracy" Energies 14, no. 6: 1677. https://doi.org/10.3390/en14061677

APA Style

Kim, J. S., & Kim, M. C. (2021). Development of a Software Tool for Seismic Probabilistic Safety Assessment Quantification with a Sufficiently Large Number of Bins for Enhanced Accuracy. Energies, 14(6), 1677. https://doi.org/10.3390/en14061677

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