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基于蚁群算法的复合材料缠绕壳体铺层顺序优化
引用本文:栾宇,丁文辉,林天军,王路仙,关振群.基于蚁群算法的复合材料缠绕壳体铺层顺序优化[J].计算力学学报,2011,28(2):248-254.
作者姓名:栾宇  丁文辉  林天军  王路仙  关振群
作者单位:1. 大连理工大学运载工程与力学学部工程力学系,工业装备结构分析国家重点实验室,大连116024
2. 中国航天科技集团公司第四研究院四十一所,西安,710025
基金项目:中国国家自然科学基金(50976017);国家自然科学基金委员会重点(50736001)资助支持.
摘    要:为了提高纤维复合材料缠绕壳体结构的屈曲稳定性,本文将蚁群算法(ACA)求解旅行商问题(TSP)的方法引入到缠绕层顺序优化的计算中.阐明铺层顺序优化的本质是调整沿板厚方向的刚度分布以提高版的抗弯刚度,同时改善荷载的传递路径,以降低由偏心而产生的附加弯矩,从而提高结构的抗屈曲能力;扩展了经典蚁群算法,提出一种分组编解码方法...

关 键 词:蚁群算法  纤维复合材料缠绕壳体  屈曲稳定性  优化设计
收稿时间:2009/7/23 0:00:00
修稿时间:2010/2/28 0:00:00

Stacking sequence optimization of filament wound composite case based on ant colony algorithm
LUAN Yu,DING Wen-hui,LIN Tian-jun,WANG Lu-xian and GUAN Zhen-qun.Stacking sequence optimization of filament wound composite case based on ant colony algorithm[J].Chinese Journal of Computational Mechanics,2011,28(2):248-254.
Authors:LUAN Yu  DING Wen-hui  LIN Tian-jun  WANG Lu-xian and GUAN Zhen-qun
Abstract:In order to improve the buckling stability, this paper employs the methodology of solving salesman traveling problems by ant colony algorithm to optimize the stacking-sequence of the filament wounded case. First, this paper explains the essence of stacking sequence optimization is adjusting the stiffness distribution along the thickness direction to improve the bending stiffness and the load path, thru which the stability of the composite structure can be enhanced. Then, an automatic grouping and coding technique is proposed, which adapts the classic ant colony algorithm to the process technics constraint and improves the computational efficiency by reducing the number of cities. The validity and the superiority of the method are verified via a classic example. Finally, the program developed has been successfully used to improve the buckling stability of a composite case.
Keywords:ant colony algorithm  filament wounded case  stability  optimization
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