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Akademický článek

Application of quasi-Monte Carlo and importance sampling to Monte Carlo-based fault tree quantification for seismic probabilistic risk assessment of nuclear power plants

Autor: Kotaro KUBO, Yoichi TANAKA, Yuto HAKUTA, Daisuke ARAKE, Tomoaki UCHIYAMA, Ken MURAMATSU

Publikováno v: Mechanical Engineering Journal, Vol 10, Iss 4, Pp 23-00051-23-00051 (2023)

The significance of probabilistic risk assessments (PRAs) of nuclear power plants against external events was re-recognized after the Fukushima Daiichi Nuclear Power Plant accident. Regarding the seismic PRA, handling correlated failures of systems,

Externí odkaz: https://doaj.org/article/907621725d7c4e538053dc050a665c20

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A Scoping Study on the Use of Direct Quantification of Fault Tree Using Monte Carlo Simulation in Seismic Probabilistic Risk Assessments

Autor: Kotaro Kubo, Keita Fujiwara, Yoichi Tanaka, Yuto Hakuta, Daisuke Arake, Tomoaki Uchiyama, Ken Muramatsu

Publikováno v: Volume 13: Risk Assessments and Management.

After the Fukushima Daiichi Nuclear Power Plant accident, the importance of conducting probabilistic risk assessments (PRAs) of external events, especially seismic activities and tsunamis, was recognized. The Japan Atomic Energy Agency has been devel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b273801235614afc3d046adca4fbb6a
https://doi.org/10.1115/icone29-88773

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HRA Model Modification for Human-Factors Engineering

Autor: Yuto Hakuta, Tomoaki Uchiyama

Publikováno v: Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::76c235f27648ce59eefc751c146aaccf
https://doi.org/10.3850/978-981-14-8593-0_3610-cd

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