Faculty Advisor

Yeesock Kim

Faculty Advisor

Tahar El-Korchi

Abstract

System identification (SI) for constructed structural systems has received a lot of attention with the continuous development of modern technologies. This thesis proposes a new nonlinear time series model for use in system identification (SI) of smart structures. The proposed model is implemented by the integration of a wavelet transform (WT) and nonlinear autoregressive moving average (NARMA) time series model. The approach demonstrates the efficient and accurate nonlinear SI of smart structures subjected to both ambient excitation and high impact load. To demonstrate the effectiveness of the wavelet-based NARMA modeling (WNARMA), smart structures equipped with magnetorheological (MR) dampers are investigated. The simulation results show that the computation of the WNARMA model is faster than that of the NARMA model without sacrificing the modeling accuracy. In addition, the WNARMA model is robust against noise in the data since it inherently has a denoising capacity.

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Civil & Environmental Engineering

Project Type

Thesis

Date Accepted

2013-01-04

Accessibility

Unrestricted

Subjects

MR Damper, Smart Structure, Wavelet Transform, ARMA, System Identification

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