Scientific journal papers

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

Only NARSIS papers published in peer-reviewed journals are displayed here.


Journal Papers published


Wang, Z., Pedroni, N., Zentner, I., Zio, E., “Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment”

Engineering Structures162: 213-225, DOI: 10.1016/j.engstruct.2018.02.024  


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”

Nuclear Engineering and Design, Elsevier, 338: 232-246, DOI: 10.1016/j.nucengdes.2018.08.016


Schäfer, A.M. & Wenzel, F., “Global Megathrust Earthquake Hazard—Maximum Magnitude Assessment Using Multi-Variate Machine Learning”

Frontiers in Earth Science7: 136, DOI: 10.3389/feart.2019.00136


Abrishami, S., Khakzad, N., Hosseini, S. M., van Gelder, P., “BN-SLIM: A Bayesian Network methodology for human reliability assessment based on Success Likelihood Index Method (SLIM)”

Reliability Engineering & System Safety, 193: 106647, DOI: 10.1016/j.ress.2019.106647


Altieri, D., Robin-Boudaoud, MC., Kessler, H., Pelissetti, M., Patelli, E., “Machine Learning Approaches for Performance Assessment of Nuclear Fuel Assemblies Subject to Seismic-Induced Impacts”

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, 6: 041002-1, DOI: 10.1115/1.4046926


Bohanec, M., Vrbanić, I., Bašić, I., Debelak, K., Štrubelj, L., “A Decision-Support Approach to Severe Accident Management in Nuclear Power Plants”

Journal of Decision Systems, 29:sup1, 438-449, DOI: 10.1080/12460125.2020.1854426


Foerster, E., Raimond, E., Guigueno, Y., “Probabilistic Safety Assessment for Internal and External Events/European projects H2020-NARSIS and FP7-ASAMPSA_E”

Invited paper from the 9th European Commission Conferences on EURATOM Research and Training in Safety of Reactor Systems (FISA 2019), Pitesti, Romania, 4-7 June 2019

EPJ Nuclear Sciences & Technologies, 6: 38, DOI: 10.1051/epjn/2019012


Rohmer, J., “Uncertainties in conditional probability tables of discrete Bayesian Belief Networks: A comprehensive review”

Engineering Applications of Artificial Intelligence88: 103384, DOI: 10.1016/j.engappai.2019.103384


Rohmer, J., Gehl., P., “Sensitivity analysis of Bayesian networks to parameters of the conditional probability model using a Beta regression approach”

Expert Systems With Applications, 145: 113130, DOI: 10.1016/j.eswa.2019.113130


Rohmer, J., Gehl, P., Marcilhac-Fradin, M., Guigueno, Y., Rahni, N., Clément, J., “Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis”

Natural Hazards and Earth System Sciences, 20(5): 1267-1285, DOI: 10.5194/nhess-20-1267-2020     


Sainct R., Feau C., Martinez J.M., Garnier. J., “Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines”

Structural Safety, 86: 101972, DOI: 10.1016/j.strusafe.2020.101972


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

Safety Science, 122: 104514, DOI: 10.1016/j.ssci.2019.104514



Cancemi S.A., Lo Frano R., “Preliminary study of the effects of ageing on the long-term performance of NPP pipe”

Progress in Nuclear Energy, 131: 103573, DOI: 10.1016/j.pnucene.2020.103573


Cancemi S.A., Lo Frano R., “Preliminary analysis of long-term performance of a piping: aging and creep effects”

Materials, 14: 1703, DOI: 10.3390/ma14071703


Darnowski, P., Mazgaj, P., Włostowski, M., “Uncertainty and Sensitivity Analysis of the In-Vessel Hydrogen Generation for Gen-III PWR and Phebus FPT-1 with MELCOR 2.2”

Energies, 14: 4884, DOI: 10.3390/en14164884


Lo Frano, R. Cancemi, S.A., Darnowski, P., Ciolini, R., Paci, S., “Preliminary Analysis of an Aged RPV Subjected to Station Blackout”

Energies, 14: 4394, DOI: 10.3390/en14154394


Pellissetti M., Kessler H., Schmidl  J., Nykyforchyn A., Staeuble-Akcay S., “Seismic performance of fuel assemblies and impact force correlations with intensity-compatible sets of recorded ground motion time histories”

Nuclear Engineering and Design375: 111052, DOI: 10.1016/j.nucengdes.2021.111052


Rohmer J. & Chojnacki E., “Forecast of environment systems using expert judgements: performance comparison between the possibilistic and the classical model”

Environment Systems and Decisions41: 7279,


Souty V. & Gailler A., “Fast High-Resolution S-PTHA Along the Western Mediterranean Sea Coastlines. Application to the Bay of Cannes”

Frontiers in Earth Science, 9: 765610, DOI: 10.3389/feart.2021.765610



Lejouad, C., Richard, B., Mongabure, P., Capdevielle S., Ragueneau, F., “Experimental study of corroded RC beams: dissipation and equivalent viscous damping ratio identification”

Materials and Structures, 55: 73, DOI: 10.1617/s11527-022-01906-y.


Lejouad, C., Richard, B., Mongabure, P., Capdevielle S., Ragueneau, F., “Assessment of the seismic behavior of reinforced concrete elements affected by corrosion: An objective comparison between quasi-static and dynamic tests”

Structures, 39: 653-666, DOI: 10.1016/j.istruc.2022.03.058


Schmidl, J., Pelissetti, M., Fuetterer, E., Hilpert, R., Nykyforchyn, A., Staeuble-Akcay, S., “Deterministic and Probabilistic Evaluation of Seismic Loads on Reactor Pressure Vessel Internals Including Nonlinear Effects”

Journal of Pressure Vessel Technology, 144: 031902-1, DOI: 10.1115/1.4053753

To come soon...

Foerster E., Girault N. & Helminen A., “Probabilistic safety assessment for internal and external events on nuclear power plants and on mitigation strategies / H2020 European projects NARSIS, R2CA and BESEP”

Invited paper from the 10th Euratom Conference on Reactor Safety (FISA 2022), Lyon, France,  30 May -3 June 2022

EPJ Nuclear Sciences & Technologies (under review)


Mazgaj, P., Darnowski, P., Kaszko, A., Hortal, J., Dusic, M., Mendizábal, R., Pelayo, F., “Demonstration of the E-BEPU Methodology for SL-LOCA in a Gen-III PWR Reactor”

Under review



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.




Dernière mise à jour le 29.05.2022