Abstract The Bouc–Wen nonlinear hysteretic model is widely used in nonlinear systems, and
it is difficult to identify the parameters of Bouc–Wen model because of its high nonlinearity. In …

Abstract The Bouc-Wen model is a versatile nonlinear smooth hysteretic model that can
characterize the stiffness degradation and strength degradation of structures and …

Identification of nonlinear hysteretic systems has practical significance for the prediction of
structural response. This paper develops a novel parameter identification method for …

By normalizing the internal hysteresis variable and eliminating the redundant parameter, the
normalized Bouc-Wen model is considered to be an improved and more reasonable form of …

Hysteresis phenomena are commonly encountered in structural systems. To describe
hysteresis behaviors, the Bouc-Wen model is intensively leveraged to reconstruct hysteresis …

Based on the Bouc-Wen model, a nonlinear hysteretic restoring force model is established
with dynamic equations. The hardening and softening of the material after reaching the yield …

Most of the published literature concerned with the parameter estimation of the Bouc–Wen
model of hysteresis via evolutionary algorithms uses a single objective function (the mean …

Magnetorheological (MR) dampers provide an ideal candidate for diverse applications
including structural vibration suppression as well as shock absorption and vibration control …

A hybrid intelligent technique is proposed to identify Bouc-Wen hysteresis model
parameters. This intelligent technique is based on a hybrid of genetic algorithm (GA) and …

In this paper, an improved experience-based learning algorithm (EBL), termed as IEBL, is
proposed to solve the nonlinear hysteretic parameter identification problem with Bouc-Wen …