玻璃钢/复合材料 ›› 2016, Vol. 0 ›› Issue (2): 53-56.

• 基础研究 • 上一篇    下一篇

基于改进自适应遗传算法的复合材料铺层优化设计

陆振玉, 张恩阳, 刘波   

  1. 中国科学院长春光学精密机械与物理研究所,长春 130033
  • 收稿日期:2015-09-09 出版日期:2016-02-20 发布日期:2016-02-20
  • 作者简介:陆振玉(1989-),男,硕士,主要从事复合材料结构设计方面的研究,luzhenyucumt@sina.com。
  • 基金资助:
    中国科学院三期知识创新工程资助项目(YYYJ-1122)

PLY OPTIMIZATION OF COMPOSITE LAMINATE BASED ONIMPROVED ADAPTIVE GENETIC ALGORITHM

LU Zhen-yu, ZHANG En-yang,LIU Bo   

  1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun 130033, China
  • Received:2015-09-09 Online:2016-02-20 Published:2016-02-20

摘要: 为提高采用遗传算法的复合材料铺层优化计算效率,提出了改进的自适应遗传算法,其交叉和变异算子在迭代过程中能够根据种群迭代收敛趋势进行自适应调整。通过二维Rasrtigrin测试函数试验,表明改进自适应遗传算法能够增加全局收敛次数,提高收敛速度。在此基础上,编写整数编码的改进自适应遗传算法,并结合经典层合板理论,以质量轻量化为目标,结构强度和刚度为约束条件,对复合材料层合板进行铺层优化设计,算例迭代过程显示收敛到最优解自适应遗传算法需进化27代,改进自适应遗传算法需进化19代。结果表明,提出的改进自适应遗传算法能够明显提高复合材料铺层优化设计效率。

关键词: 复合材料, 优化, 遗传算法, 试验, 收敛

Abstract: An improved adaptive genetic algorithm was proposed to improve the efficiency of the composite laminate design based on the genetic algorithm, and its crossover operator and mutation operator can be adjusted automatically in the convergence process. The results of the experiment of the two-dimensional Rasrtigrin trial function show that the proposed algorithm has a better capability in global optimal and convergence speed. Based on the above, the proposed genetic algorithm with integer coding strategy was applied to stacking sequence optimization of composite laminates. The iterative process of an example indicated that 27 iterations was needed for adaptive genetic algorithm and 19 iterations was needed for improving the adaptive genetic algorithm to the global optimal solution. It can be concluded that the improved adaptive genetic algorithm can significantly improve the efficiency of the composite laminate design.

Key words: composite, optimization, genetic algorithm, trial, convergence

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