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Article

Development of a reduced order model for severe accident analysis codes by singular value decomposition aiming probabilistic safety margin analysis

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Pages 573-589 | Received 08 Jul 2019, Accepted 26 Nov 2019, Published online: 12 Dec 2019

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Read on this site (4)

Ryoichi Kondo, Tomohiro Endo, Akio Yamamoto, Satoshi Takeda, Hiroki Koike, Kazuya Yamaji & Koji Asano. (2022) Improvements in Computational Efficiency for Resonance Calculation Using Energy Spectrum Expansion Method. Nuclear Science and Engineering 196:7, pages 769-791.
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Kotaro Kubo, Sunghyon Jang, Takata Takashi & Akira Yamaguchi. (2022) Quasi-Monte Carlo sampling method for simulation-based dynamic probabilistic risk assessment of nuclear power plants. Journal of Nuclear Science and Technology 59:3, pages 357-367.
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Ryoichi Kondo, Tomohiro Endo, Akio Yamamoto, Satoshi Takeda, Hiroki Koike, Kazuya Yamaji & Daisuke Sato. (2021) A New Resonance Calculation Method Using Energy Expansion Based on a Reduced Order Model. Nuclear Science and Engineering 195:7, pages 694-716.
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Masaki Matsushita, Tomohiro Endo & Akio Yamamoto. (2020) Applicability of a reduced order model for a safety analysis code to statistical safety analysis. Journal of Nuclear Science and Technology 57:12, pages 1307-1318.
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Articles from other publishers (2)

Haoyin Chen, He Wang, Longcong Wang & Qiang Zhao. (2024) Evaluation of probabilistic safety margin of nuclear power plant based on optimized adaptive sampling method. Annals of Nuclear Energy 201, pages 110409.
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Haoyin Chen, He Wang, Qiang Zhao & Xinyue Wang. (2022) Comparative Analysis of Adaptive Sampling Method Optimization. Comparative Analysis of Adaptive Sampling Method Optimization.

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