Experimental study of a PEM-based second order structural system identification technique

Jian Li; Yunfeng Zhang

doi:10.1117/12.658800

11 April 2006 Experimental study of a PEM-based second order structural system identification technique

Jian Li, Yunfeng Zhang

Proceedings Volume 6174, Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems; 61743F (2006) https://doi.org/10.1117/12.658800
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2006, San Diego, California, United States

Abstract

In this paper, the performance of a prediction error method (PEM)-based second order structural identification method is studied through a series of vibration test. The concerned structural identification method employs a prediction error method to identify the parameters of ARMAX/ARMA models that are formulated in a stochastic state space framework. This system identification method can be used to identify second order structural parameters such as mass, stiffness, damping ratios directly from measured vibration data. To evaluate the effectiveness of this PEM-based structural identification method, vibration data collected from a 3-storey model structure is used. Two series of vibration tests were carried out: in the first test series, dynamic load applied at the roof of the building is measured; the second test series involves base excitation of the model building. The results of this experimental study indicate that the PEM-based structural system identification technique is able to identify the second order structural parameters and locate the damages reasonably well. Therefore, the PEM-based structural identification method has a potential to be used for damage detection in structural health monitoring applications.

Citation Download Citation

Jian Li and Yunfeng Zhang "Experimental study of a PEM-based second order structural system identification technique", Proc. SPIE 6174, Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 61743F (11 April 2006); https://doi.org/10.1117/12.658800

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