基于刚柔耦合动力学仿真的起落架舱门优化

doi:10.19936/j.cnki.2096-8000.20210628.007

摘要/Abstract

摘要： 针对复合材料起落架舱门的优化设计问题,建立了一种基于刚柔耦合动力学仿真的复合材料结构优化方法。使用C-B部件模态综合法建立复合材料起落架舱门的刚柔耦合运动模型,仿真计算得到起落架舱门的动态响应,使用正交试验的方法选取训练样本,训练BP神经网络,得到复合材料舱门铺层厚度与运动响应之间的神经网络响应面,以舱门铺层厚度为优化变量,以舱门运动变形为约束,以舱门接头载荷最小和舱门重量最轻为目标,使用遗传算法对神经网络响应面进行优化。优化结果表明:提出的基于刚柔耦合动力学仿真的复合材料结构优化方法能够准确考虑起落架舱门运动过程中的结构变形和载荷,实现复合材料起落架舱门全运动行程内的最优设计。

关键词: 复合材料, 结构优化, 起落架, 刚柔耦合动力学, 神经网络, 遗传算法

Abstract: The optimization design of a foam sandwich composite landing gear door was studied, a composite structure optimization method was proposed based on rigid-flexible coupling dynamic simulation. Rigid-flexible coupling model of composite landing gear door was established using C-B component mode synthesis method, and the dynamic responses of landing gear door was obtained. Orthotropic experimental method was used to select training samples, BP neural network response surfaces of ply parameters and dynamic responses of landing gear door were trained by training samples. The thicknesses of the composite ply were optimized by genetic algorithm to minimize the door mass and suspension joint load considering the deformation constraints. The results show that the proposed composite structure optimization method based on rigid-flexible coupling dynamic simulation can accurately consider the structural deformation and load in the whole motion process of landing gear door to achieve the optimal design of the composite landing gear door.

Key words: composites; structural optimization; landing gear; rigid-flexible coupling dynamic; neural network;genetic algorithm

中图分类号:

TB332

梁力, 纪小飞, 孟兆康, 陈西锋. 基于刚柔耦合动力学仿真的起落架舱门优化[J]. 复合材料科学与工程, 2021, 0(6): 45-51.

LIANG Li, JI Xiao-fei, MENG Zhao-kang, CHEN Xi-feng. OPTIMIZATION OF LANDING GEAR DOOR BASED ON RIGID-FLEXIBLECOUPLING DYNAMIC SIMULATION[J]. COMPOSITES SCIENCE AND ENGINEERING, 2021, 0(6): 45-51.

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