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    Journals >Chinese Journal of Ship Research >Volume 19 >Issue 6 >Page 17 > Article
    • Chinese Journal of Ship Research
    • Vol. 19, Issue 6, 17 (2024)
    Application of hull form knowledge graph method in design of Yangtze River bulk cargo ship
    Jianyi ZHANG1, Lüge XIAO1, Baiwei FENG1,2, Zuyuan LIU1,2, and Chengsheng ZHAN1,2
    Author Affiliations
  • 1School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
  • 2Key Laboratory of High-Performance Ship Technology, Ministry of Education, Wuhan 430063, China
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    DOI: 10.19693/j.issn.1673-3185.03855 Cite this Article
    Jianyi ZHANG, Lüge XIAO, Baiwei FENG, Zuyuan LIU, Chengsheng ZHAN. Application of hull form knowledge graph method in design of Yangtze River bulk cargo ship[J]. Chinese Journal of Ship Research, 2024, 19(6): 17 Copy Citation Text show less
    References

    [4] Y TAHARA, D PERI, E F CAMPANA et al. Computational fluid dynamics-based multiobjective optimization of a surface combatant using a global optimization method. Journal of Marine Science and Technology, 13, 95-116(2008).

    [6] H C CHANG, X D CHENG, Z Y LIU et al. Sample selection method for ship resistance performance optimization based on approximated model. Journal of Ship Research, 60, 1-13(2016).

    [12] Q ZHENG, H C CHANG, Z Y LIU et al. Design knowledge extraction framework and its application in multi-objective ship optimization. Ocean Engineering, 280, 114782(2023).

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    Jianyi ZHANG, Lüge XIAO, Baiwei FENG, Zuyuan LIU, Chengsheng ZHAN. Application of hull form knowledge graph method in design of Yangtze River bulk cargo ship[J]. Chinese Journal of Ship Research, 2024, 19(6): 17
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