| 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 |
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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 |
| Stacking sequence optimization of filament wound composite case based on ant colony algorithm |
| 投稿时间：2009-07-23 修订日期：2010-02-28 |
| DOI：10.7511/jslx201102017 |
| 中文关键词: 蚁群算法 纤维复合材料缠绕壳体 屈曲稳定性 优化设计 |
| 英文关键词:ant colony algorithm filament wounded case stability, optimization |
| 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. |
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| 摘要点击次数: 2531 |
| 全文下载次数: 1934 |
| 中文摘要: |
| 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,既可描述缠绕工艺对铺层排列组合的约束,又可降低城市数目以提高优化效率;通过与经典算例的比较,验证了本文方法的有效性和优越性;并研发了复合材料缠绕壳体铺层顺序优化程序系统,实现了壳体结构的屈曲稳定性优化设计。 |
| 英文摘要: |
| 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. |
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