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Prediction of a reactivity margin for partial refueling of nuclear reactor using artificial neural networks

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dc.contributor.authorNakhabov, A.
dc.contributor.authorKolesov, V.
dc.contributor.authorSoglaev, P.
dc.contributor.authorНахабов, Александр Владимирович
dc.date.accessioned2024-11-26T13:20:24Z
dc.date.available2024-11-26T13:20:24Z
dc.date.issued2020
dc.description.abstract© 2020 The Authors. Published by Elsevier B.V.For some types of nuclear reactors (especially research ones) partial refueling is a routine operation when fuel rods are reloading during reactor operation to improve its physical characteristics. Reactivity margin or effective neutron multiplication factor are crucial parameters there because they determine nuclear safety of a facility. Thus for a safety reason a value of effective neutron multiplication factor should be calculated before refueling. A common method consists in neutron physical calculations-simple, but with rather high error. From the other side, precise computer modelling based on Monte-Carlo approach can be used, but this way is very time consuming. In this paper the new approach proposed when artificial neural network used to predict a value of effective neutron multiplication factor using information about fuel burnup in the reactor core as a input data. Training dataset is provided through Monte-Carlo modelling. Optimal layout and parameters selection is considered as well. Results obtained are very perspective for using this approach in real practice at nuclear facilities.
dc.format.extentС. 310-313
dc.identifier.citationNakhabov, A. Prediction of a reactivity margin for partial refueling of nuclear reactor using artificial neural networks / Nakhabov, A., Kolesov, V., Soglaev, P. // Procedia Computer Science. - 2020. - 169. - P. 310-313. - 10.1016/j.procs.2020.02.188
dc.identifier.doi10.1016/j.procs.2020.02.188
dc.identifier.urihttps://www.doi.org/10.1016/j.procs.2020.02.188
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85084493939&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/21755
dc.relation.ispartofProcedia Computer Science
dc.titlePrediction of a reactivity margin for partial refueling of nuclear reactor using artificial neural networks
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume169
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relation.isAuthorOfPublication.latestForDiscovery81e5e22a-489f-428a-a0a1-a35e3199fda7
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