PARAMETER IDENTIFICATION FOR CONSTITUTIVE MODEL BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM

On basis of concepts of population and adaptive degree, anew method is proposed to identifyparameters in the constitutive model used to improve Particle Swarm OptimizationAlgorithm starting from a stochastic solution. This method can solvedifficult problems of identifyingparameters in a constitutive model for hardening rubber-like materialswith 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 toidentify the parameter, and then the result is testified by a simpleshearing test. The result shows that the PSO method enjoysefficiency, high precision and quick convergence,in identifying constitutive parameters and it canbe widely used for various complex materials.