基于等基因序列双重随机遗传算法的复合材料铺层优化  

The isogenic sequence double random genetic algorithm used in composite ply optimizations

作　　者：常亮[1] 聂小华[1] 罗利龙[1] 田利临 CHANG Liang;NIE Xiaohua;LUO Lilong;TIAN Lilin(The 10th Department,Aircraft Strength Research Institute of China,Xi’an 710065,China)

机构地区：[1]中国飞机强度研究所十室,西安710065

出　　处：《航空工程进展》2023年第5期70-77,共8页Advances in Aeronautical Science and Engineering

基　　金：国家重点研发计划(2021YFB3302300)。

摘　　要：复合材料铺层优化中常用的各种遗传算法较难同时综合考虑表面45°、分层比例、连续铺层数限制等复杂工程约束问题,基于此,提出一种针对复合材料层压板的等基因序列双重随机遗传算法,在交换和突变算子中引入双重随机算法以保证优化迭代中基因序列的严格相等,基于SABRE软件实现该优化算法,并通过算例验证算法的正确性。结果表明:该算法可满足均衡性、对称性、表面45°、连续铺层数限制、铺层比例等复杂工程约束,有较高的可靠性与工程适用性。Aiming at various genetic algorithms commonly used in composite layer optimization,it is difficult to comprehensively consider complex engineering constraints such as surface 45°,layering ratio,and continuous layer number limit,in this paper,an isogenic sequence double random genetic algorithm is proposed for composite lami⁃nates.The introduction of double random algorithms in the exchange and mutation operators ensures the strict equality of gene sequences in the optimization iteration,and based on the SABRE software the optimization method is realized,and the correctness of the algorithm is verified through numerical examples.The results show that the proposed algorithm can fit complex engineering constraints such as balance,symmetry,surface 45°,continuous ply number limit,ply ratio,etc.,and has high reliability and engineering applicability.

关 键 词：复合材料层压板 优化设计 遗传算法 等基因序列 双重随机算法 SABRE软件 

分 类 号：V257[一般工业技术—材料科学与工程]