Author(s)

W. Seubkinorn, A. Chaikittiratana & N. Chaiyaratana

Abstract

Parameter identification of a non-linear viscoelastic model for engineering polymers using a genetic algorithm W. ~eubltinorn', A. chailtittiratard & N. chaiyaratana3 1 Department of Electrical Engineering. 2 Department of Mechanical Engineering. 3 Research and DeveIopment Center for Intelligent System, King Mongkut 's Institute of Technology North Bangkok, Thailand. Abstract This paper presents an alternative approach for determning non-linear viscoelastic parameters of a constitutive model for glassy polymers using a multiobjective diversity control oriented genetic algorithm (MODCGA). The algorithm is a stochastic multi-objective optirnisation technique. In this work, minimisation objectives are defined from errors between the experimental data (creep-recovery and constant strain rate compressive tests) and the simulation results. The parameters obtained by the MODCGA are found to be similar to that obtained previously using a knowledge-based iterative trial-and-error manual fitting method

Keywords