Explore the words cloud of the NARSIS project. It provides you a very rough idea of what is the project "NARSIS" about.
The following table provides information about the project.
Coordinator |
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
Organization address contact info |
Coordinator Country | France [FR] |
Project website | http://www.narsis.eu/ |
Total cost | 5˙470˙828 € |
EC max contribution | 4˙965˙472 € (91%) |
Programme |
1. H2020-Euratom-1.1. (Support safe operation of nuclear systems) |
Code Call | NFRP-2016-2017-1 |
Funding Scheme | RIA |
Starting year | 2017 |
Duration (year-month-day) | from 2017-09-01 to 2021-08-31 |
Take a look of project's partnership.
Probabilistic Safety Assessment (PSA) procedures allow to better understand and estimate the likelihood of the most causes prone to initiate nuclear accidents and to identify the most critical elements of the systems. However, despite of the remarkable reliability of current procedures, the 2011 Fukushima Daiichi accident highlighted a number of challenging issues with respect to their application and validity of their results. From this nuclear disaster the upgrading of the current methodological framework appeared to be necessary in areas such as cascading/conjunct events characterization, fragility analyses and uncertainties treatment. New developments in those areas would even enable the extension of their use in accident management. Based on recent theoretical progresses, the NARSIS project aims at making significant scientific updates of some elements required for the PSA, focusing on external natural events (earthquake, tsunami, flooding, high speed winds...). These improvements mainly concern: • Natural hazards characterization, considering concomitant external (simultaneous-yet-independent or cascading) events, and the correlation in intra-event intensity parameters; • Fragility and functionality assessment of main critical NPPs' elements, accounting for conjunct effects (including ageing effects) and interdependencies under single or multiple external aggressions; • Risk integration combined with uncertainty characterization and quantification, to allow efficient risks comparison and account for all possible interactions and cascade effects; • Better processing/integration of expert-based information within PSA, through modern uncertainty theories both to represent in flexible manner experts’ judgments and to aggregate them to be used in a comprehensive manner. The proposed improvements will be tested and validated on simplified and real NPP case studies. Demonstration supporting tools for operational & severe accident management will be also provided.
Development of single and secondary effect hazard assessment methodologies including uncertainty quantification and comparison | Documents, reports | 2020-04-09 00:34:43 |
Definition of hazard-induced damage states and development of state-specific APETs for demonstration purposes | Documents, reports | 2020-04-09 00:34:42 |
Project Newsletter (e-mailing) - M18 | Websites, patent fillings, videos etc. | 2020-04-09 00:34:42 |
Project Newsletter (e-mailing) - M12 | Websites, patent fillings, videos etc. | 2020-04-09 00:34:40 |
Risk integration methods for high risk industries | Documents, reports | 2020-04-09 00:34:40 |
Methods to incorporate human factors within a multi-hazard approach | Documents, reports | 2020-04-09 00:34:40 |
Methodology to derive vector-based fragility functions I: theoretical aspects | Documents, reports | 2020-04-09 00:34:40 |
Review of state-of-the art for hazard and multi-hazard characterisation | Documents, reports | 2020-04-09 00:34:40 |
Communication and Dissemination Plan report | Documents, reports | 2020-04-09 00:34:40 |
Project presentation brochure | Documents, reports | 2020-04-09 00:34:40 |
Project website (activation) | Websites, patent fillings, videos etc. | 2020-04-09 00:34:40 |
Project Newsletter (e-mailing) - M6 | Websites, patent fillings, videos etc. | 2020-04-09 00:34:40 |
Use of E-BEPU for evaluation of Defence-in-Depth | Documents, reports | 2020-02-12 17:30:49 |
Education and training materials | Other | 2020-02-12 11:53:56 |
Take a look to the deliverables list in detail: detailed list of NARSIS deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2020 |
Jeremy Rohmer Uncertainties in conditional probability tables of discrete Bayesian Belief Networks: A comprehensive review published pages: 103384, ISSN: 0952-1976, DOI: 10.1016/j.engappai.2019.103384 |
Engineering Applications of Artificial Intelligence 88 | 2020-04-09 |
2020 |
Jeremy Rohmer, Pierre Gehl Sensitivity analysis of Bayesian networks to parameters of the conditional probability model using a Beta regression approach published pages: 113130, ISSN: 0957-4174, DOI: 10.1016/j.eswa.2019.113130 |
Expert Systems with Applications 145 | 2020-04-09 |
2020 |
Shokoufeh Abrishami, Nima Khakzad, Seyed Mahmoud Hosseini, Pieter van Gelder BN-SLIM: A Bayesian Network methodology for human reliability assessment based on Success Likelihood Index Method (SLIM) published pages: 106647, ISSN: 0951-8320, DOI: 10.1016/j.ress.2019.106647 |
Reliability Engineering & System Safety 193 | 2020-04-09 |
2020 |
W.M.P. Steijn, J.N. Van Kampen, D. Van der Beek, J. Groeneweg, P.H.A.J.M. Van Gelder An integration of human factors into quantitative risk analysis using Bayesian Belief Networks towards developing a ‘QRA+’ published pages: 104514, ISSN: 0925-7535, DOI: 10.1016/j.ssci.2019.104514 |
Safety Science 122 | 2020-04-09 |
2019 |
Bohanec, M., Vrbanić, I., Bašić, I., Debelak, K., Štrubelj, L. Conceptual Design of a Decision Support Tool for Severe Accident Management in Nuclear Power Plants published pages: Pages 5-8, ISSN: , DOI: |
Proc. IS 2019 Volume A - Slovenian Conference | 2020-04-09 |
2019 |
Gehl, Pierre; Macilhac-Fradin, Marine; Rohmer, Jeremy; Guigueno, Yves; Rahni, Nadia; Clément, Julien Identifying uncertainty contributions to the seismic fragility assessment of a nuclear reactor steam line published pages: 47-68, ISSN: , DOI: |
Proc. COMPDYN 2019 1 | 2020-04-09 |
2019 |
Andreas M. Schäfer, Friedemann Wenzel Global Megathrust Earthquake Hazard—Maximum Magnitude Assessment Using Multi-Variate Machine Learning published pages: Article 136, ISSN: 2296-6463, DOI: 10.3389/feart.2019.00136 |
Frontiers in Earth Science 7 | 2020-04-09 |
2019 |
Rodriguez, S., Néron, D., Charbonnel, P.-E., Ladevèze, P., Nahas, G. Non incremental LATIN-PGD solver for non-linear vibratoric dynamics problems published pages: , ISSN: , DOI: |
Proc. CSMA 2019 1 | 2020-04-09 |
2019 |
Abrishami, S., Khakzad, N., van Gelder, P. Improving the performance of Success Likelihood Index Model (SLIM) using Bayesian network published pages: pp 310-315, ISSN: , DOI: |
Proc. ESREL2019 1 | 2020-04-09 |
2018 |
Gehl , Pierre; Rohmer , Jérémy Vector intensity measures for a more accurate reliability assessment of NPP sub-systems published pages: , ISSN: , DOI: |
Proc. TINCE 2018 1 | 2020-04-09 |
2018 |
Å trubelj, L., Foerster, E., Rastiello, G., Daniell, J., Bazargan-Sabet, B., Gehl, P., Pierre Gehl, Vardon, P. J., Duvvuru Mohan, V. K. The Goal of the New Approach to Reactor Safety Improvements (NARSIS) Project published pages: , ISSN: , DOI: |
Proc. 12th International Conference of the Croatian Nuclear Society 1 | 2020-04-09 |
2018 |
Wang, Z., Zentner, I., Zio, E. A Bayesian framework for estimating fragility curves based on seismic damage data and numerical simulations by adaptive neural networks published pages: 232-246, ISSN: 0029-5493, DOI: |
Nuclear Engineering and Design, Elsevier | 2020-04-09 |
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