翼身融合水下滑翔机耐压舱固定架多保真度优化设计

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

  • 摘要:
    目的 翼身融合(BWB)水下滑翔机在吊放过程中易发生结构破坏,为保证其结构安全性的同时实现轻量化设计目标,对其内部耐压舱固定架进行优化设计。
    方法 采用多保真度数据驱动优化方法,结合结构参数化建模方法和有限元方法,开展BWB水下滑翔机内部耐压舱固定架结构设计。建立舱体固定架结构的高、低保真度数值模型,提出一种基于分层Kriging模型的多保真度数据驱动优化方法,基于该方法搭建舱体固定架全自动优化设计框架,并完成舱体固定架的优化设计。
    结果 结果表明,在保证结构安全的前提下,优化后舱体固定架质量减小了16.4%,且所提出的优化设计方法与粒子群优化算法相比,在获得同等水平优化设计结果时,可减少75%的计算耗时,显著提高了优化设计效率。
    结论 研究方法及结论为BWB水下滑翔机耐压舱固定架结构设计提供了一种高效的优化设计途径。

     

    Abstract:
    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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