Parameter Identification and Elastic-Plastic Problems: Optimization Strategies

Parameter identification is a technique which aims at determining model parameters based on a combination of experimental and numerical procedures. This work addresses identification of material parameters for elastic-plastic problems using optimization methods. Firstly, a comparative study is presented in which optimization techniques based on Genetic Algorithms, Univariate, Steepest Descent and BFGS methods are discussed. Identification of Carbon steel parameters based on tensile tests illustrates application of the BFGS, GA and GA-BFGS hybrid methods.