Title of article :
Material Characterization of Structures Using Genetic Algorithm and Viberational Data
Author/Authors :
Eskandari Jam, Jafar malekeashtar university of technology - Department of Composite Structures, تهران, ايران , Garshasbi Nia, Neda Iran Polsrmer Petrochemical Institute, ايران
Abstract :
The aim of this work is to present a technique to identify elastic parameters of composite materials. The identification is based on the adjustment of coefficients in an optimization process in which the objective function is defined by the difference between the analytical natural frequencies and the measured ones. Such analytical natural frequencies are obtained by the finite element method (FEM) while the experimental ones are determined by ordinary modal tests. The proposed approach uses Genetic Algorithm (GA) to solve the optimization problem. A few examples are presented to identify the indirect (Non-Destructive) prediction of mechanical properties of homogeneous isotropic, orthotropic, and anisotropic plates for showing the ability, capability, reliability, modeling and performance of this technique.
Journal title :
Journal of Aerospace Science and Technology (JAST)
Journal title :
Journal of Aerospace Science and Technology (JAST)