Chinese Journal of Ship Research, Volume. 19, Issue 6, 126(2024)

Multi-fidelity optimization design of pressure-resistant cabin fixing brackets for blended-wing-body underwater glider

Chengshan LI1... Da LÜ2, Xiaoyi AN1 and Xuding SONG1 |Show fewer author(s)
Author Affiliations
  • 1School of Construction Machinery, Chang'an University, Xi'an 710064, China
  • 2Wuhan Second Ship Design and Research Institute, Wuhan 430205, China
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    Objective

    The Blended-Wing-Body (BWB) underwater glider is prone to structural damage during the lifting process. This study seeks to ensure its structural safety and achieve the goal of lightweight design by optimizing the internal pressure-resistant cabin fixing bracket.

    Methods

    A multi-fidelity data-driven optimization method is adopted and combined with the structural parametric modeling method and finite element method to carry out the structural design of the fixing bracket. High and low fidelity numerical models of the bracket structure are established, and a multi-fidelity data-driven optimization method based on the hierarchical Kriging model is proposed, on which basis a fully automatic optimization design framework for the cabin fixing frame is constructed and used to complete the optimization design.

    Results

    While ensuring structural safety, the mass of the optimized cabin fixing bracket is reduced by 16.4%. Compared with the particle swarm optimization algorithm, the proposed optimization design method can reduce computational costs by 75% while obtaining the same level of optimization design results, greatly improving the efficiency of optimization design.

    Conclusion

    The results of this study can provide an efficient optimization design approach for the structural design of pressure-resistant cabin fixing brackets for BWB underwater gliders.

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    Chengshan LI, Da LÜ, Xiaoyi AN, Xuding SONG. Multi-fidelity optimization design of pressure-resistant cabin fixing brackets for blended-wing-body underwater glider[J]. Chinese Journal of Ship Research, 2024, 19(6): 126

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    Paper Information

    Category: Theory and Method of Intelligent Design for Ship and Ocean Engineering

    Received: Dec. 21, 2023

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03693

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