主管单位:中华人民共和国工业和信息化部
主办单位:西北工业大学  中国航空学会
地       址:西北工业大学友谊校区航空楼
基于等基因序列双重随机遗传算法的复合材料铺层优化
作者:
作者单位:

中国飞机强度研究所

作者简介:

通讯作者:

中图分类号:

V257

基金项目:


The Isogenic Sequence Double Stochastic Genetic Algorithm Used in Composite Structures
Author:
Affiliation:

Aircraft Strength Research Institute of China,10thdepartment,Xi’an Shanxi 710065

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    复合材料铺层优化中常用的各种遗传算法,较难同时综合考虑表面45°、分层比例、连续铺层数限制等复杂工程约束问题,基于此,提出一种针对复合材料层压板的等基因序列双重随机遗传算法,在交换和突变算子中引入双重随机算法以保证优化迭代中基因序列的严格相等,基于SABRE 软件实现该优化算法,并通过算例验证算法的正确性。结果表明:该算法可满足均衡性、对称性、表面45°、连续铺层数限制、铺层比例等复杂工程约束,有较高的可靠性与工程适用性。

    Abstract:

    Aiming at various genetic algorithms commonly used in composite layer optimization, it is difficult to comprehensively consider complex engineering constraints such as surface 45 degrees, layering ratio, and continuous layer number limit, this paper proposes an isogenic sequence double random genetic algorithm for composite laminates, which can consider the layering in the optimization. Complex engineering constraints such as ratio, continuous layup limit, adjacent layup angle, surface laying ±45°, etc., the introduction of double random algorithms in the exchange and mutation operators ensures the strict equality of gene sequences in the optimization iteration, and based on the SABRE software The optimization method is realized, the results of calculation and application show that the proposed method can fit complex engineering constraints such as balance, symmetry, surface 45 degrees, continuous ply number limit, ply ratio, etc., and has high reliability and engineering applicability.

    参考文献
    相似文献
    引证文献
引用本文

常亮,聂小华,罗利龙,田利临.基于等基因序列双重随机遗传算法的复合材料铺层优化[J].航空工程进展,2023,14(5):70-77

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2022-08-26
  • 最后修改日期:2022-12-15
  • 录用日期:2022-12-29
  • 在线发布日期: 2023-07-24
  • 出版日期: