摘要
复合材料挖补修复强度优化研究中,广泛使用有限元方法寻优导致优化效率低下,对多参数协同优化也探究不足。为解决上述问题,本文针对复合材料阶梯修复提出了一款多参数联合优化程序(cooperative repair parameter optimization program,CRPOP)。程序将解析与数值方法结合,代替有限元计算,得到胶层应力的半解析理论解,并利用遗传算法对补片铺层与挖补阶梯长度进行多参数优化。结果表明:CRPOP程序可以实现阶梯修复结构的单参与多参优化,分别将胶层最大剪应力降低了28.3%和30.8%,将结构承载力提升了20.4%和25.2%。程序能够有效缓解胶层应力集中现象,并使结构获得更好的修复效果。
In the strength optimization of composite scarf repair,the widespread use of finite element method has led to inefficiencies,and studies on multi-parameter cooperative optimization are also lacking.To overcome these issues,this paper introduces a multi-parameter cooperative optimization program(CRPOP) for composite stepped-lap repair(CSLR).The program replaces FE method with a combination of theoretical and analytical approaches,yielding a semi-analytical solution for adhesive layer stress.Also,it performs cooperative optimization on repair patch layup and step length,utilizing the genetic algorithm.The results indicate that CRPOP can perform both single and multi-parameter optimizations for CSLR structure,reducing maximum adhesive shear stress by 28.3% and 30.8%,and increasing structural load capacity by 20.4% and 25.2%.It demonstrates that the program can effectively mitigate the stress concentration in adhesive layer,resulting in improved structural repair performance.
作者
尹昊然
张军徽
李国墙
朱渴鑫
YIN Haoran;ZHANG Junhui;LI Guoqiang;ZHU Kexin(School of Civil Engineering,North China University of Technology,Beijing 100144,China)
出处
《力学与实践》
2025年第1期49-57,共9页
Mechanics in Engineering
关键词
碳纤维复合材料
阶梯式修复
解析方法
遗传算法
carbon fiber-reinforced polymer
stepped-lap repair
analytical method
genetic algorithm
