NUCLEAR TECHNIQUES, Volume. 47, Issue 10, 100602(2024)

Design method of high-flux lead-bismuth cooled reactor neutron flux maximization based on BP neural network

Tong WANG1,2, Zijing LIU1,2、*, Pengcheng ZHAO1,2, and Yingjie XIAO1,2
Author Affiliations
  • 1College of Nuclear Science and Technology, University of South China, Hengyang 421001, China
  • 2Hunan Digital Reactor Engineering and Technology Research Center, University of South China, Hengyang 421001, China
  • show less
    References(23)

    [4] Gulevich A V, Klinov D A. Multilateral research program international research center MBIR proposal on R&D activities (fuels and materials) for the Ten Year Period 2025-2035[R].

    [8] Balderrama S, Sabharwall P, Wachs D. Versatile test reactor for advanced reactor testing[J]. Transactions of the American Nuclear Society, 119, 942(2018).

    [17] WANG Qun. Multiobjective evolutionary algorithm based on symmetric Latin hypercube designs[D](2011).

    [19] Sánchez V, Imke U, Ivanov A et al. SUBCHANFLOW: a thermal-hydraulic sub-channel program to analyse fuel rod bundles and reactor cores[C], 1-18(2010).

    [21] Sobol I. Sensitivity estimates for nonlinear mathematical models[J]. Matematicheskoe Modelirovanie, 2, 112-118(1993).

    Tools

    Get Citation

    Copy Citation Text

    Tong WANG, Zijing LIU, Pengcheng ZHAO, Yingjie XIAO. Design method of high-flux lead-bismuth cooled reactor neutron flux maximization based on BP neural network[J]. NUCLEAR TECHNIQUES, 2024, 47(10): 100602

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: NUCLEAR ENERGY SCIENCE AND ENGINEERING

    Received: Jan. 31, 2024

    Accepted: --

    Published Online: Dec. 13, 2024

    The Author Email: LIU Zijing (LIUZijing)

    DOI:10.11889/j.0253-3219.2024.hjs.47.100602

    Topics