Output-Only Modal Parameter Identification of Systems Subjected to Various Types of Excitation
Publication: Journal of Engineering Mechanics
Volume 146, Issue 11
Abstract
This study presents a novel modal parameter identification method enabling approximation of the mode shapes of linear systems using white-noise or earthquake inputs. The majority of well-established existing system identification methods perform successfully when the system is excited by broadband white-noise excitation. However, they encounter serious limitations when analyzing the vibrations triggered by nonstationary earthquake inputs. Thus, the presented technique extends the applicability of system identification and modal-based structural health monitoring methods. The method operates in modal space and is based on mode superposition in short windows. The mode shapes are identified using an optimization algorithm minimizing the weighted sum of cross-correlation of frequency response spectra. The technique is validated analytically using simulation results of a simple three-dimensional (3D) structure representing a simplified model of a real bridge pier structure, which enables exact comparison with known properties. The results show the method provides relatively good identification accuracy of modal parameters of systems excited by white-noise and earthquake inputs. The identified modal frequencies showed error, where the mode-shape coefficients were identified within 5% error. The method performs robustly even for high levels of simulated sensor noise and can be readily applied to more complex multiple degree of freedom (MDOF) systems.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request. The following items can be provided: input earthquake excitation data set, numerical simulation, and system identification codes written in MATLAB.
Acknowledgments
The scholarship support of the New Zealand Earthquake Commission (EQC) for the first author is greatly acknowledged.
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Published In
Journal of Engineering Mechanics
Volume 146 • Issue 11 • November 2020
Copyright
© 2020 American Society of Civil Engineers.
History
Received: May 19, 2018
Accepted: Jun 4, 2020
Published online: Sep 15, 2020
Published in print: Nov 1, 2020
Discussion open until: Feb 15, 2021
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