PARAMETER IDENTIFICATION FOR CONSTITUTIVE MODEL BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM
基于粒子群优化算法的本构模型参数识别

On basis of concepts of population and adaptive degree,a new method is proposed to identify parameters in the constitutive model used to improve Particle Swarm Optimization Algorithm starting from a stochastic solution.This method can solve difficult problems of identifying parameters in a constitutive model for hardening rubber-like materials with large strain.Firstly,by a constitutive model test of uniaxial tension, a point of inflexion in the experimental curve is obtained,the PSO is used to identify the parameter,and then the result is testified by a simple shearing test.The result shows that the PSO method enjoys efficiency,high precision and quick convergence,in identifying constitutive parameters and it can be widely used for various complex materials.