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Nuclear Science and Engineering Volume 153, 2006 - Issue 2
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Technical Paper

MCDET: A Probabilistic Dynamics Method Combining Monte Carlo Simulation with the Discrete Dynamic Event Tree Approach

Martina Kloos Gesellschaft für Anlagen- und Reaktorsicherheit (GRS) mbH Boltzmannstraße 12 85748 Garching n Munich, Germany
&
Jörg Peschke Gesellschaft für Anlagen- und Reaktorsicherheit (GRS) mbH Boltzmannstraße 12 85748 Garching n Munich, Germany
Pages 137-156 | Published online: 10 Apr 2017

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Yuki Morishita, Akio Yamamoto & Tomohiro Endo. (2023) Sensitivity analysis of risk assessment for continuous Markov process Monte Carlo method using correlated sampling method. Journal of Nuclear Science and Technology 60:12, pages 1573-1585.
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Chun-Yen Li, Akira Watanabe, Akihiro Uchibori & Yasushi Okano. (2023) The development of Petri net-based continuous Markov chain Monte Carlo methodology applying to dynamic probability risk assessment for multi-state resilience systems with repairable multi-component interdependency under longtermly thereat. Journal of Nuclear Science and Technology 0:0, pages 1-23.
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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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Sören Johst, Michael Hage & Jörg Peschke. (2021) Extension of a Level 2 PSA Event Tree Based on Results of a Probabilistic Dynamic Safety Analysis of Induced Steam Generator Tube Rupture. Nuclear Technology 207:3, pages 352-362.
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