基于遗传算法的复合材料泡沫夹层板铺层优化设计

Ply Optimization Design of Foam Sandwich Composite Panel Based on Genetic Algorithm

机翼中泡沫夹芯结构的使用可以有效降低结构元件的重量,因此对复合材料泡沫夹层板的优化设计研究显得十分重要。基于遗传算法设计可以同时进行铺层角度和铺层厚度的优化算法,在该优化算法中采用分区优化技术及浮点数编码对铺层角度和铺层厚度设计变量进行设计。使用上述优化方法对复合材料机翼盒段泡沫夹芯蒙皮进行铺层优化设计,优化后的翼盒重量比优化前降低了38.2%。优化结果表明对复合材料机翼盒段夹芯蒙皮的优化设计可以有效地降低重量,为泡沫夹芯结构的使用提供一定的参考。

The use of foam sandwich in wing structure can reduce the weight of structure. So the optimization of foam sandwich composite is important. An optimization algorithm is designed to optimize angle of ply and thick- ness of plies simultaneously based on genetic algorithm. In the article the region division technique and the float- ing-point code are taken in the previous optimization design. The optimization of the ply design of the foam sandwich skin of the composite wing structure is accomplished through the previous optimization method. The optimal result is that the weight is reduced by 38.2%. The result shows that the weight will be reduced by the optimal method. The method is of certain reference for the design of foam sandwich structural.