This deliverable will present the applicability of E-BEPU methodology for DEC analysis and possible benefits it might bring for future NPPs' design (results from sub-task 3.4.3).
This deliverable will present the implementation of the conditional spectra approach (so-called risk-targeted hazard), as proposed in sub-task 1.2.4.
This deliverable will present the adaptation of advanced uncertainty assessment approaches to identify and priorize most influential sources of uncertainty in the parameters (external threats, etc.) and NPP elements' modelling, so that uncertainty on modelling results can be constrained before integration within the BBN (cf. sub-task 3.2.2).
This deliverable will present the extensive review of existing multi-hazard approaches and procedures for natural hazard assessment with respect to nuclear hazard and safety, as proposed in task1.1.
This deliverable will present the method developed to enable integration of human aspects into fragility functions and to investigate their impact on them (cf. task 2.4).
This deliverable will provide a map of the key decisions identified in task 5.2, to be made during the implementation of EOP/EDMG/SAMG in response to the considered hazard damage state into the logic of corresponding state-specific APET, developed based on the experience and knowledge from the Level-2 PSA studies (cf. task 5.3).
This deliverable will first present a new simplified modelling technique for seismic SSI with a reduced computation time, hence useful within the framework of PSA process. Second, the proposed model will be compared to existing tools (e.g. SASSI) on well-known NPP case studies, e.g. derived from international benchmarks (see sub-task 2.2.2 for details).
This deliverable will present some model reduction strategies applicable for assessing the impact of external hazards (e.g. earthquakes, flooding) on NPPs from a probabilistic perspective (outputs from sub-task 4.2.1).
This deliverable will present the systematic application of E-BEPU methodology for Defence-in-Depth implementation (results from sub-task 3.4.2).
This deliverable will provide methods to analyse extreme hazards using multi-varied statistics and to account for secondary hazards associated with each NPP component separately using physical approaches. On the other hand, it will present a stochastic approach to scenario development, allowing characterization of the hazard curve to integrate all possible uncertainty, temporal and spatial combinations for Design Basis Events (see task 1.3 for details).
This deliverable will present the use and implications of fast GPU computations for PHA on one hand, and on the other hand, the general probabilistic hazard assessment approach to be developed for earthquake-triggered tsunamis (see sub-task 1.2.1 for details).
This deliverable will present the application of the E-BEPU method for the development and V&V of SAMG on the LB LOCA reclassification (results of sub-task 5.4.7).
This deliverable will present the general methodology proposed in task 2.3, to design and check elaborate fragility models with respect to multiple intensity measures (i.e. vector-valued), thus harmonizing the response of the NPP SSC to multi-hazard solicitations.
The project brochure will present the main information on the NARSIS project: aims and main expected outcomes, consortium, ...
This deliverable will present the proposed improvement of the current practices in terms of flexible approaches / procedures and uncertainty propagation in relation with expert-based information and knowledge modelling, using recent advanced procedures and tools (cf. task 3.3 for details).
This deliverable will present the results of SPH simulations of a realistic coastal NPP platform for selected flooding event scenarios (tsunami, storm). These results will be analyzed with respect to the requirements of nuclear engineering (see details in sub-task 1.2.3).
This deliverable will present a review and comparison of risk integration methods from high risk industries (e.g. aviation, chemical and nuclear industries), with particular emphasis on methods able to incorporate low probability events, multi-hazards, and integration of human, social/organizational and technical aspects (cf. task 3.1). It will also review the deterministic & probabilistic methods for identification of latent weaknesses in complex industrial facilities. Hence, this deliverable merges the contents of former deliverables D3.1 (due on M12) and D3.6 (initially due on M18, but now suppressed).
This deliverable will first report on proposed methods and related uncertainties, to address combination of phenomena in the framework of flooding hazard curves assessment. The probabilistic assessment of failures for some geotechnical safety structures by external hydraulic effects will also be addressed in this deliverable (see details in sub-task 1.2.2).
Communication and Dissemination Plan report of the project.
This deliverable will first present the probabilistic description of fault and consequence for technical aspects, compatible with a non-parametric dynamic BBN approach. Then, it will present the works related to the implementation of the risk sub-network for social/organizational and human aspects (cf. sub-task 3.2.1).
Project Newsletter (e-mailing) - M12
Project Newsletter (e-mailing) - M18
The NARSIS Newsletter will be produced every six months, starting on Month 6.
This deliverable is directly linked to task 6.1. The website will serve for public dissemination of project information and deliverables, as well as for the team working area and exchanges.
External Project Newsletter (e-mailing) - M25
First international workshop of the project (cf. task 6.3). Digital-type proceedings distribution (web, CDROM).
Education & Training materials will be ready on Month 24, as lectures will be taught at Master level, between Month 24 and Month 48.
Author(s): Gehl , Pierre; Rohmer , Jérémy
Published in: Proc. TINCE 2018, Issue 1, 2018
Author(s): Štrubelj, L., Foerster, E., Rastiello, G., Daniell, J., Bazargan-Sabet, B., Gehl, P., Pierre Gehl, Vardon, P. J., Duvvuru Mohan, V. K.
Published in: Proc. 12th International Conference of the Croatian Nuclear Society, Issue 1, 2018
Author(s): Rodriguez, S., Néron, D., Charbonnel, P.-E., Ladevèze, P., Nahas, G.
Published in: Proc. CSMA 2019, Issue 1, 2019
Author(s): Gehl, Pierre; Macilhac-Fradin, Marine; Rohmer, Jeremy; Guigueno, Yves; Rahni, Nadia; Clément, Julien
Published in: Proc. COMPDYN 2019, Issue 1, 2019, Page(s) 47-68
Author(s): Abrishami, S., Khakzad, N., van Gelder, P.
Published in: Proc. ESREL2019, Issue 1, 2019, Page(s) pp 310-315
Author(s): Bohanec, M., Vrbanić, I., Bašić, I., Debelak, K., Štrubelj, L.
Published in: Proc. IS 2019, Issue Volume A - Slovenian Conference on Artificial Intelligence, 2019, Page(s) Pages 5-8
Author(s): Pellissetti, M., Kessler, H., Schmidl, J., Nykyforchyn, A., Staeuble-Akcay, S.
Published in: Proc. SMiRT 25, 2019, Page(s) IV_861
Author(s): Duvvuru Mohan, V.K.; Vardon, P.J.; Hicks, M.A.; van Gelder, P.H.A.J.M.; Ching, Jianye; Li, Dian-Qing; Zhang, Jie
Published in: Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019), 2019, Page(s) 631-636
Author(s): Andrej Prošek, Andrija Volkanovski
Published in: Proc. NENE2019, Issue 1, 2019, Page(s) pp. 201.1-201.8
Author(s): Andrija Volkanovski, Andrej Prošek
Published in: Proc. NENE2019, 2019, Page(s) pp. 1013.1-1013.7
Author(s): Zhiyi Wang, Irmela Zentner, Enrico Zio
Published in: Nuclear Engineering and Design, Issue 338, 2018, Page(s) 232-246, ISSN 0029-5493
Author(s): Andreas M. Schäfer, Friedemann Wenzel
Published in: Frontiers in Earth Science, Issue 7, 2019, Page(s) Article 136, ISSN 2296-6463
Author(s): Shokoufeh Abrishami, Nima Khakzad, Seyed Mahmoud Hosseini, Pieter van Gelder
Published in: Reliability Engineering & System Safety, Issue 193, 2020, Page(s) 106647, ISSN 0951-8320
Author(s): W.M.P. Steijn, J.N. Van Kampen, D. Van der Beek, J. Groeneweg, P.H.A.J.M. Van Gelder
Published in: Safety Science, Issue 122, 2020, Page(s) 104514, ISSN 0925-7535
Author(s): Jeremy Rohmer
Published in: Engineering Applications of Artificial Intelligence, Issue 88, 2020, Page(s) 103384, ISSN 0952-1976
Author(s): Jeremy Rohmer, Pierre Gehl
Published in: Expert Systems with Applications, Issue 145, 2020, Page(s) 113130, ISSN 0957-4174