考虑就位效应的复合材料层合板自适应遗传算法铺层优化

THE OPTIMIZATION OF COMPOSITE LAMINATES CONSIDERING IN-SITU EFFECT BY ADAPTIVE GENETIC ALGORITHM

子层就位效应影响复合材料层合板强度预测,进而影响以强度比为目标函数的复合材料层合板铺层优化。本文联合利用MATLAB编程和ABAQUS有限元分析,建立了复合材料层合板铺层遗传算法优化平台,包括传统遗传算法、自适应遗传算法和考虑就位效应的自适应遗传算法。进行单向载荷条件下复合材料层合板铺层优化设计,结果表明,使用自适应遗传算法可以提高优化计算效率;考虑就位效应的自适应遗传算法不仅计算效率更高而且优化出的铺层顺序组成的层合板具有更高的强度比,从而实现了更加精确合理的复合材料层合板优化设计。

The prediction of laminated composite strength was influenced by in-situ effect of the ply,further influencing the optimization of composite laminates with strength ratio as the goal.MATLAB programming and ABAQUS analysis were developed to build an optimization platform for composite laminate optimization by genetic algorithm,which include standard genetic algorithm,adaptive genetic algorithm and adaptive genetic algorithm considering the in-situ effect.An example of a laminate under unidirectional loading was performed by using the optimization platform.The results show that optimization efficiency was improved by using adaptive genetic algorithm.The results also show that not only the fitness of the individual using adaptive genetic algorithm considering in-situ effect is better,but also the laminate with optimized stacking sequence has a higher strength ratio.Thus a more accurate and reasonable optimization for composite laminates was realised.