飞行器结构布局与尺寸混合优化方法

Jiaxin Hu, Shu Rui, Ruichao Gao, Jianjun Gou, Chunlin Gong

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

An efficient hybrid optimization method is proposed to solve the problem of layout and size optimization in lightweight structural design of aircraft. A layout-size hybrid optimization model is constructed by introducing size variables into the traditional ground structure method. The Genetic Algorithm (GA) is used as the basic search method, and the chromosome is designed to uniformly describe the 0-1 type discrete layout variables and continuous size variables, and the solution process of the hybrid layout-size optimization of the structure is established. The neural network agent model is introduced in the solution process because of the large size of the population. By predicting the individual population, the number of individuals that need to be accurately calculated in each generation is reduced. A wing structure optimization design with 55 layout variables and 55 size variables is taken as an example, and the results verify the feasibility of the method. Compared with the traditional ground structure method, the new method can further reduce the weight by 13%. Furthermore, the introduction of the agent model reduces the computational cost by about 50%.

投稿的翻译标题Hybrid optimization method for structural layout and size of flight vehicles
源语言繁体中文
文章编号225363
期刊Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
43
5
DOI
出版状态已出版 - 25 5月 2022

关键词

  • Agent model
  • Flight vehicle structure design
  • Genetic algorithm (GA)
  • Hybrid optimization
  • Layout optimization
  • Size optimization

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