中国机械工程 ›› 2013, Vol. 24 ›› Issue (1): 52-55.

• 信息技术 • 上一篇    下一篇

大展弦比复合材料机翼刚心分析与剪裁设计

董永朋1,2;霍世慧1;华林1;王富生1;岳珠峰1   

  1. 1.西北工业大学,西安,710129
    2.中国运载火箭技术研究院,北京,100076
  • 出版日期:2013-01-10 发布日期:2013-01-23
  • 基金资助:
    国家自然科学基金资助项目(51175424);高等学校学科创新引智计划资助项目(B07050)
    National Natural Science Foundation of China(No. 51175424)

Analysis and Tailoring Design of Stiffness-center of a High-ratio-aspect Composite Wing

Dong Yongpeng1,2;Huo Shihui1;Hua Lin1;Wang Fusheng1;Yue Zhufeng1   

  1. 1.Northwestern Polytechnical University, Xi'an, 710129
    2.China Academy of Launch Vehicle Technology, Beijing, 100076
  • Online:2013-01-10 Published:2013-01-23
  • Supported by:
    National Natural Science Foundation of China(No. 51175424)

摘要:

介绍了一种运用有限元分析软件确定大展弦比复合材料机翼刚心位置的方法,并将该有限元分析方法得到的计算结果与理论方法进行比较,两者最多相差75%。将该方法运用到工程中,以大展弦比复合材料机翼刚心轴线的位置作为目标函数,静强度和稳定性作为约束,蒙皮、梁腹板各个铺层角的厚度和桁条、梁缘条的横截面积作为设计变量进行优化设计。经过多岛遗传算法和序列二次规划算法的迭代计算,最终得到机翼模型刚心轴线的最佳位置,与优化前相比刚心轴线位置更靠近于机翼前缘。

关键词: 有限元方法, 刚心轴线, 优化设计, 多岛遗传算法, 序列二次规划算法

Abstract:

A simple method was presented by means of FE software to fix on the location of stiffness-center axis of a high-ratio-aspect composite wing model. The most difference was 75%, comparing the results of FE method with that of theoretical method. It was applied to an example of engineering. The optimal design was carried out with the location of stiffness-center axis of a composite wing as objective function and static strength and stability as constraints. The design variables were the lay-up thickness of panel and spar web, and the cross-section area of stringer and spar edge. Through the iterative calculation by multi-island genetic algorithm and sequential quadratic programming, the optimized location of stiffness-center axis of composite wing model was obtained finally. Compared with that optimized before, the location of stiffness-center axis is closer to leading edge of the wing.

Key words: finite element(FE) method, stiffness center axis, optimization design, multi-island genetic algorithm, sequential quadratic programming

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