基于遗传算法的嵌入式共固化穿孔阻尼层复合材料结构优化

Composite structural optimization for an embedded co-cured perforated damping layer based on genetic algorithm

建立嵌入式共固化穿孔粘弹性层复合材料结构的遗传算法优化模型,采用混合编码方式对嵌入穿孔阻尼层的复合材料结构试件粘弹性层穿孔布局进行优化,在增大结构阻尼的同时尽量减少结构刚度损失。结果表明,在不考虑复合材料穿孔阻尼层面积比变化对阻尼与刚度的敏感度时,最优方案为穿孔直径2 mm,孔距9.90 mm,此时阻尼层面积比为96.8%;考虑该敏感度时,最优方案为穿孔直径2 mm,孔距9.06 mm,此时阻尼层面积比为96.2%。研究结果对大阻尼高刚度嵌入式共固化复合材料阻尼构件的设计制作有重要指导意义。

An optimal model of perforated damping layer parameters for an embedded co-cured composite damping structure was established based on the genetic algorithm.In order to get higher damping and lower stiffness loss,the composite structural optimization was performed by using the mixed coding method.It was shown that when the damping and stiffness sensitivities to the area ratio of the perforated damping layer are ignored,the optimal solution is the area ratio of the perforated damping layer 96.8% with the hole diameter 2 mm and the hole spacing distance 9.90 mm;if the damping and stiffness sensitivities to the area ratio of the perforated damping layer are considered,the optimal solution is the area ratio of the perforated damping layer 96.2% with the hole diameter 2 mm and the hole spacing distance 9.06 mm.The results provided a guidance for designing and manufacturing embedded co-cured composite damping structures with higher damping and bigger stiffness.