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

该文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的粘弹性层穿孔布局进行优化，目标是在增大结构阻尼的同时尽量减少结构的刚度损失。研究结果表明：在不考虑复合材料穿孔阻尼层面积比变化对阻尼和刚度的敏感度时，最优方案是穿孔直径为2mm，孔距为9.90mm，此时阻尼层面积比为96.8%；在考虑复合材料穿孔阻尼层面积比变化对阻尼和刚度的敏感度时，最优方案是穿孔直径为2mm，孔距为9.06mm，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。

The Optimization of the Embedded Co-cured Perforated Damping Layer Composite Structures Based on Genetic Algorithm

The optimization model of the perforated damping layer parameters for an embedded co-cured composite damping structure is established on the basis of genetic algorithm. Aiming at high damping and lower stiffness loss, the optimization of composite structure is completed by using the mixed coding method. When the damping and stiffness sensitivities to the area ratio of the perforated damping layer are ignored, the best solution is 96.8% area ratio of the perforated damping layer with the hole diameter 2mm and spacing 9.90mm. If the damping and stiffness sensitivities to the area ratio of the perforated damping layer is considered, the best solution is 96.2% area ratio of the perforated damping layer with the hole diameter 2mm and spacing 9.06mm. The conclusion is very important for the design and manufacture of the embedded co-cured composite damping structures with high damping and big stiffness.