Scientific publications

New knowledge generated within the NARSIS Project is disseminated in the form of publications, contributions and participation at international conferences and workshops.

 

Journal papers published

Wang, Z., Zentner, I., Zio, E. (2018), “A Bayesian framework for estimating fragility curves based on seismic damage data and numerical simulations by adaptive neural networks”, Nuclear Engineering and Design, Elsevier, 338, pp. 232-246.

DOI: 10.1016/j.nucengdes.2018.08.016

Repository: https://hal.archives-ouvertes.fr/hal-01988948

 

Wang, Z., Pedroni, N., Zentner, I., Zio, E. (2018), “Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment”, Engineering Structures, Volume 162, pp. 213-225.

DOI: 10.1016/j.engstruct.2018.02.024

Repository: https://hal.archives-ouvertes.fr/hal-01716961  

 

Abrishami, S., Khakzad, N., Hosseini, S. M., van Gelder, P. (2020), “BN-SLIM: A Bayesian Network methodology for human reliability assessment based on Success Likelihood Index Method (SLIM)”, Reliability Engineering & System Safety, Volume 193, 106647.

DOI: 10.1016/j.ress.2019.106647

Repository: http://resolver.tudelft.nl/uuid:3eb6abb2-c85d-4ef0-af78-fc146c70a51b

 

Steijn, W.M.P, Van Kampen, J.N., Van der Beek, D., Groeneweg, J., and Van Gelder, P.H.A.J.M. (2020), “An integration of human factors into Quantitative Risk analysis using Bayesian Belief Networks towards developing a ‘QRA+’”, Safety Science, Volume 122, 104514.

DOI: 10.1016/j.ssci.2019.104514

Repository: https://repository.tudelft.nl/view/tno/uuid%3A65b8cb0c-0507-4435-a0ea-0721800b3559

 

Rohmer, J., (2020), “Uncertainties in conditional probability tables of discrete Bayesian Belief Networks: A comprehensive review”, Engineering Applications of Artificial Intelligence, Volume 88, 103384.

DOI: 10.1016/j.engappai.2019.103384

Repository: https://hal-brgm.archives-ouvertes.fr/hal-02386579

 

Rohmer, J., Gehl., P. (2020), “Sensitivity analysis of Bayesian networks to parameters of the conditional probability model using a Beta regression approach”, Expert Systems With Applications, Volume 145, 113130.

DOI: 10.1016/j.eswa.2019.113130

Repository: https://hal-brgm.archives-ouvertes.fr/hal-02408006

 

Foerster, E., Raimond, E., Guigueno, Y. (2020), “Probabilistic Safety Assessment for Internal and External Events/European projects H2020-NARSIS and FP7-ASAMPSA_E”, EPJ Nuclear Sciences & Technologies, Volume 6, 38.

DOI: 10.1051/epjn/2019012

 

Rohmer, J., Gehl, P., Marcilhac-Fradin, M., Guigueno, Y., Rahni, N., Clément, J. (2020), “Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis”, Natural Hazards and Earth System Sciences, Volume 20, pp. 1267-1285.

DOI: 10.5194/nhess-20-1267-2020     

Conference papers presented at International Conferences

Štrubelj, L., Foerster, E., Rastiello, G., Daniell, J., Bazargan-Sabet, B., Gehl, P., Vardon, P. J., Duvvuru Mohan, V. K. (2018), “The Goal of the New Approach to Reactor Safety Improvements (NARSIS) Project”, Proc. 12th International Conference of the Croatian Nuclear Society, Zadar, Croatia, 3-6 June 2018.

Repository: http://resolver.tudelft.nl/uuid:2cf07132-6448-438f-b5fc-6034cfe8cece; https://zenodo.org/record/3066816#.XnDa5ndFxMs; https://hal.archives-ouvertes.fr/cea-02400202

 

Gehl, P. and Rohmer, J. (2018), “Vector intensity measures for a more accurate reliability assessment of NPP sub-systems”, Proc. International Conference on Technological Innovations in Nuclear Civil Engineering (TINCE 2018), Saclay, 29-31 August 2018.

Repository: https://hal-brgm.archives-ouvertes.fr/hal-01832855

 

Rodriguez, S., Néron, D., Charbonnel, P.-E., Ladevèze, P., Nahas, G. (2019), “Non incremental LATIN-PGD solver for non-linear vibratoric dynamics problems”, Proc. 14ième Colloque National en Calcul des Structures (CSMA 2019), Giens, France, 13-17 May 2019.

Conference Website: https://csma2019.sciencesconf.org/246552

 

Gehl, P., Marcilhac-Fradin, M., Rohmer, J., Guigueno, Y., Rahni, N., Clément, J. (2019), “Identifying uncertainty contributions to the seismic fragility assessment of a nuclear reactor steam line”, Proc. 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2019), Crete, Greece, 24-26 June 2019.

Conference Website: https://2019.compdyn.org/proceedings/pdf/18915.pdf

Repository: https://hal-brgm.archives-ouvertes.fr/hal-02047529 

 

Pellissetti, M., Kessler, H., Schmidl, J., Nykyforchyn, A., Staeuble-Akcay, S. (2019), “Seismic performance of fuel assemblies based on intensity-compatible sets of recorded ground motion time histories”, Proc. 25th Conference on Structural Mechanics in Reactor Technology (SMiRT 25), Charlotte, North Caroline, USA,  4-9 August 2019.

Repository: https://www.lib.ncsu.edu/resolver/1840.20/37727 

 

Prošek, A., Volkanovski, A., (2019), “Constraining Input Uncertainty Sources of PSA by Sensitivity Analysis Using FFTBM-SM”, Proc. International Conference Nuclear Energy for New Europe (NENE2019), Portorož, Slovenia, 9-12 September 2019.

Conference Website: http://www.nss.si/nene2019/proceedings/

 

Volkanovski, A., Prošek, A., (2019), “Progression of Station Blackout Event in PWR Plant”, Proc. International Conference Nuclear Energy for New Europe (NENE2019), Portorož, Slovenia, 9-12 September 2019.

Conference Website: http://www.nss.si/nene2019/proceedings/

 

Rohmer, J., Gehl, P., Marcilhac-Fradin, M., Guigueno, Y., Rahni, N., Clément, J., (2019), “Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis”, Proc. Advances in Extreme Value Analysis and application to Natural Hazard (EVAN Conference 2019), Paris, France, 17-19 September 2019.

 

Abrishami, S., Khakzad, N., van Gelder, P. (2019), “Improving the performance of Success Likelihood Index Model (SLIM) using Bayesian network”, Proc. 29th European Safety and Reliability Conference (ESREL 2019), Hannover, Germany, 22-26 September 2019.

Conference Website: http://rpsonline.com.sg/proceedings/9789811127243/html/0248.xml

Repository: https://repository.tudelft.nl/islandora/object/uuid:98517272-7996-423e-9f71-66f7ab6e23bc?collection=research

 

Bohanec, M., Vrbanić, I., Bašić, I., Debelak, K., Štrubelj, L. (2019), “Conceptual Design of a Decision Support Tool for Severe Accident Management in Nuclear Power Plants”, Proc. 22nd International Multiconference Information Society (IS 2019) - Slovenian Conference on Artificial Intelligence, Ljubljana, Slovenia, 10 October 2019.

Conference Website: https://is.ijs.si/wp-content/uploads/2019/10/IS2019_Volume_A.pdf

 

Mohan, V.K.D., Vardon, P.J., Hicks, M.A., van Gelder, Pieter H.A.J.M., (2019), “Uncertainty Tracking and Geotechnical Reliability Updating Using Bayesian Networks”, Proc. 7th International Symposium on Geotechnical Safety and Risk, Taipei, Taiwan, 12-13 December 2019.

Conference Website: http://rpsonline.com.sg/proceedings/isgsr2019/html/IS3-5.xml

Repository: https://repository.tudelft.nl/islandora/object/uuid:7f9d5eaf-87dc-4e59-b599-69783594662c?collection=research

Open Access

 

The NARSIS Project attaches particular importance to ensure open access to all peer-reviewed scientific publications relating to its results as required under Horizon H2020.

 

NARSIS OpenAIRE page 

 

Dernière mise à jour le 28.08.2020