Use of genetic algorithms for fitting the Bouc-Wen model to experimental hysteretic curves

Abstract

In this paper a Genetic Algorithms (GA) method is developed to identify the BoucWen model parameters from the experimental data of periodic loading tests. It is considered an extension of classical model in order to increase its capacity to approximate experimental loops. From Bouc-Wen equation are derived integral conditions that characterize the coordinates of hysteresis curve. The objective function of GA is defined as a sum of relative errors obtained for a set of indices computed on the predicted and experimental loops.