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
黎程山 1吕达 2安小逸 1宋绪丁1
作者信息
- 1. 长安大学 工程机械学院,陕西 西安 710064
- 2. 武汉第二船舶设计研究所,湖北 武汉 430205
- 折叠
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 fi-nite 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 en-suring 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 computation-al 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.
关键词
船舶设计/自主水下航行器/水下滑翔机/结构设计/数据驱动优化/多保真度优化/代理模型Key words
naval architecture/autonomous underwater vehicles/underwater glider/structural design/data-driven optimization/multi-fidelity optimization/surrogate model引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据