遗传算法在橡胶超弹性材料参数反求中的应用
Applying Genetic Algorithm to Inversion of Parameters for Rubber's Hyperelastic Material
周兵 1袁昆明 1刘阳毅 1沈川2
作者信息
- 1. 湖南大学 汽车车身先进设计制造国家重点实验室,长沙 410082
- 2. 三一汽车起重机械有限公司,长沙 410600
- 折叠
摘要
将优化算法与有限元仿真分析相结合可以对橡胶的材料参数进行反求,该方法基于一款叠层橡胶弹簧的试验数据,并选用Mooney-Rivlin超弹性本构模型.在参数反求的过程中,为解决传统遗传算法出现的早熟、稳定性差以及收敛速度慢的问题,将编码方式改为实数编码,并在算法中引入精英保留策略和自适应的交叉与变异概率.将根据改进遗传算法反求得到的刚度特性曲线与试验结果进行对比,发现二者具有很好的一致性,表明通过反求得到的材料参数能准确地对橡胶材料的力学性能进行描述.
Abstract
The combination of optimization algorithm with the finite element simulation analysis can reverse the parameters of rubber materials.This method is based on the experimental data of a laminated rubber spring,and the Mooney-Rivlin hyperelastic constitutive model is selected.In the process of parameter inversion,in order to solve the problem of prematurity,poor stability and slow convergence of the traditional genetic algorithm,the coding method is changed into real number coding,and the elite retention strategy,adaptive crossover,mutation probability are also introduced into the algorithm.The stiffness characteristic curve obtained with the improved genetic algorithm is compared with the experimental results,which are in good agreement with the stiffness characteristic curve,indicating that the inversed parameters can accurately describe the mechanical properties of rubber materials.
关键词
叠层橡胶弹簧/超弹性本构模型/参数反求/遗传算法Key words
laminated rubber spring/hyperelastic constitutive model/parameter inversion/genetic algorithm引用本文复制引用
基金项目
国家自然科学基金面上项目(51875184)
湖南省自然科学基金面上项目(2019JJ40025)
出版年
2024