| Issue |
EPJ Nuclear Sci. Technol.
Volume 11, 2025
Euratom Research and Training in 2025: ‘Challenges, achievements and future perspectives’, edited by Roger Garbil, Seif Ben Hadj Hassine, Patrick Blaise, and Christophe Girold
|
|
|---|---|---|
| Article Number | 10 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjn/2025004 | |
| Published online | 07 April 2025 | |
- L.E. Herranz, R.O. Gauntt, Severe Accident Analyses: A historical review from the very early days to the near-term future, Nucl. España 395, 12 (2018) [Google Scholar]
- U.S. Rohatgi, J.S. Kaizer, Historical perspectives of BEPU research in US, Nucl. Eng. Des. 358, 110430 (2020), ISSN 0029-5493, https://doi.org/10.1016/j.nucengdes.2019.110430 [Google Scholar]
- S. Ghosh et al., Summary of the uncertainty analysis for the state of the art reactor consequence analysis project, NUREG-2254 (2022) [Google Scholar]
- L.E. Herranz et al., The EC MUSA Project on Management and Uncertainty of Severe Accidents: Main Pillars and Status, Energies 14, 4473 (2021), https://doi.org/10.3390/en14154473 [CrossRef] [Google Scholar]
- F. Mascari et al., Ann. Nucl. Energy 196, 110205 (2024), ISSN 0306-4549, https://doi.org/10.1016/j.anucene.2923.110205 [Google Scholar]
- S. Brumm et al., Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package, Ann. Nucl. Energy 211, 110962 (2025), ISSN 0306-4549, https://doi.org/10.1016/j.anucene.2024.110962 [Google Scholar]
- O. Coindreau et al., Uncertainty quantification for a severe accident sequence in a SFP in the frame of teh H-2020 project MUSA: First outcomes, The 10th European Review Meeting on Severe Accident Research (ERMSAR2022), Karlsruhe (Germany, 2022) [Google Scholar]
- O. Coindreau et al., Uncertainty quantification for a severe accident sequence in a SFP in the frame of the H-2020 project MUSA: First outcomes, Ann. Nucl. Energy 188, 109796 (2023), ISSN 0306-4549, https://doi.org/10.1016/j.anucene.2023.209796 [Google Scholar]
- M. Khatib-Rahbar et al., A Probabilistic Approach to Quantifying Uncertainties in the Progression of Severe Accidents, Nucl. Sci. Eng. 102, 219 (1989) [Google Scholar]
- R. Gauntt, Uncertainty Analyses Using the MELCOR Severe Accident Analysis Code, NEA 6053, Session-III-Applications-to-Uncertainty-Assessment-on-Severe-Accidents, Aix-en-Provence (France, 2007) [Google Scholar]
- S. Suehiro et al., Development of the source term PIRT based on findings during Fukushima Daiichi NPPs accident, Nucl. Eng. Des. 286, 163 (2015), ISSN 0029-5493, https://doi.org/10.1016/j.nucengdes.2015.02.005 [Google Scholar]
- L. Herranz et al., Major achievements of the EC MUSA project, The 11th European Review Meeting on Severe Accident Research (ERMSAR2024), Stockholm, Sweden, May 13-16 (2024) [Google Scholar]
- S. Wilkss, Determination of Sample Sizes for Setting Tolerance Limits, Ann. Math. Stat. 12, 91 (1941), https://doi.org/10.1214/aoms/1177731788 [CrossRef] [Google Scholar]
- A. Bentaib, Critical assessment of key elements of combustible gases management in containment. AMHYCO deliverable D.1.1 (2022), https://amhyco.eu/resources/ [Google Scholar]
- L. Herranz, J. Fontanet, High combustion risk sequences. Identification and characterization, The 10th European Review Meeting on Severe Accident Research (ERMSAR2022), Karlsruhe, Germany, May 16-19 (2022) [Google Scholar]
- W. Men, Discharge of contaminated water from the Fukushima Daiichi Nuclear Power Plant Accident into the Northwest Pacific: What is known and what needs to be known, Mar. Pollut. Bull. 2173, Part A, 112984 (2021), ISSN 0025-326X, https://doi.org/10.1016/j.marpolbul.2021.112984 [Google Scholar]
- NEA, Impact of Short-Term Severe Accident Management Actions in a Long-Term Perspective, Paris, NEA/CSNI/R(2000)8 (2000) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.