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Journal of Nuclear Science and Technology Volume 59, 2022 - Issue 3
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Article

Quasi-Monte Carlo sampling method for simulation-based dynamic probabilistic risk assessment of nuclear power plants

Kotaro Kuboa Department of Nuclear Engineering and Management, School of Engineering, The University of Tokyo, Tokyo, Japan;b Nuclear Safety Research Center, Japan Atomic Energy Agency, Ibaraki, JapanCorrespondence[email protected]
,
Sunghyon Janga Department of Nuclear Engineering and Management, School of Engineering, The University of Tokyo, Tokyo, Japan
,
Takata Takashia Department of Nuclear Engineering and Management, School of Engineering, The University of Tokyo, Tokyo, Japan
&
Akira Yamaguchia Department of Nuclear Engineering and Management, School of Engineering, The University of Tokyo, Tokyo, Japan
Pages 357-367 | Received 26 Mar 2021, Accepted 18 Aug 2021, Published online: 27 Sep 2021

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Kotaro Kubo, Sunghyon Jang, Takashi Takata & Akira Yamaguchi. (2023) Dynamic probabilistic risk assessment of seismic-induced flooding in pressurized water reactor by seismic, flooding, and thermal-hydraulics simulations. Journal of Nuclear Science and Technology 60:4, pages 359-373.
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Articles from other publishers (4)

Kotaro Kubo, Xiaoyu Zheng, Yoichi Tanaka, Hitoshi Tamaki, Tomoyuki Sugiyama, Sunghyon Jang, Takashi Takata & Akira Yamaguchi. (2022) Simulation-based dynamic probabilistic risk assessment of an internal flooding-initiated accident in nuclear power plant using THALES2 and RAPID. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 237:5, pages 947-957.
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Kotaro Kubo. (2023) Accident Sequence Precursor Analysis of an Incident in a Japanese Nuclear Power Plant Based on Dynamic Probabilistic Risk Assessment. Science and Technology of Nuclear Installations 2023, pages 1-12.
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Kotaro Kubo, Yoichi Tanaka & Jun Ishikawa. (2023) Quantification of risk dilution induced by correlation parameters in dynamic probabilistic risk assessment of nuclear power plants. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, pages 1748006X2311672.
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Kotaro KUBO, Yoichi TANAKA, Yuto HAKUTADaisuke ARAKETomoaki UCHIYAMAKen MURAMATSU. (2023) Application of quasi-Monte Carlo and importance sampling to Monte Carlo-based fault tree quantification for seismic probabilistic risk assessment of nuclear power plants. Mechanical Engineering Journal 10:4, pages 23-00051-23-00051.
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