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Upravlenie Bol'shimi Sistemami, 2023, Issue 104, Pages 118–134
DOI: https://doi.org/10.25728/ubs.2023.104.5
(Mi ubs1161)
 

This article is cited in 1 scientific paper (total in 1 paper)

Control in Technology and Process Control

Data assimilation in neutronics modelling: current status and development prospects

A. Andrianov, O. Andrianova

Obninsk Institute for Nuclear Power Engineering NRNU MEPhI, Obninsk
Full-text PDF (747 kB) Citations (1)
References:
Abstract: The article presents an analysis of the current state and prospects for the development of data assimilation procedures in neutronics modelling. These procedures are used to refine the parameters of neutronics models based on reactor experiment results, improve the accuracy of calculations predicting the characteristics of nuclear facilities under development, and plan informative experiments that closely match the neutronics properties of the facilities being designed. The article provides a classification of the approaches used in data assimilation for neutronics modelling, discusses the areas of application, advantages, and disadvantages of various implementations, identifies the main trends and directions for further development, and considers the current scientific and applied problems in the subject area.
Keywords: data assimilation, machine learning, uncertainty analysis, neutronics modelling, nuclear facilities, reactor experiments.
Funding agency Grant number
Russian Science Foundation 23-29-10154
Received: April 13, 2023
Published: July 31, 2023
Document Type: Article
UDC: 621.039.51
BBC: 31.4
Language: Russian
Citation: A. Andrianov, O. Andrianova, “Data assimilation in neutronics modelling: current status and development prospects”, UBS, 104 (2023), 118–134
Citation in format AMSBIB
\Bibitem{AndAnd23}
\by A.~Andrianov, O.~Andrianova
\paper Data assimilation in neutronics modelling: current status and development prospects
\jour UBS
\yr 2023
\vol 104
\pages 118--134
\mathnet{http://mi.mathnet.ru/ubs1161}
\crossref{https://doi.org/10.25728/ubs.2023.104.5}
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  • https://www.mathnet.ru/eng/ubs/v104/p118
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Upravlenie Bol'shimi Sistemami
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    References:16
     
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