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Beam damage detection using synchronisation of peaks in instantaneous frequency and amplitude of vibration data

Citation

Mousavi, M and Holloway, D and Olivier, JC and Gandomi, AH, Beam damage detection using synchronisation of peaks in instantaneous frequency and amplitude of vibration data, Measurement, 168 Article 108297. ISSN 0263-2241 (2021) [Refereed Article]

Copyright Statement

Copyright 2020 Elsevier

DOI: doi:10.1016/j.measurement.2020.108297

Abstract

This paper explores the advantages of Variational Mode Decomposition (VMD) in detecting local damage on beam type structures (bridge) subjected to a sprung mass (vehicle). VMD is used to decompose the acceleration time history of the bridge at its midspan into its constitutive intrinsic mode functions (IMFs). The instantaneous frequency (IF) and instantaneous amplitude (IA) of the first IMF show irregularities at the damage position. We demonstrate through computer simulation that VMD is superior for detecting damage when compared to the well-known Empirical Mode Decomposition (EMD) method. A new damage sensitive feature (DSF) is also introduced that considers synchronisation of peaks between the IA and IF signals. The results show that the new DSF can enhance the peak at the damage positions while suppressing peaks at other locations.

Item Details

Item Type:Refereed Article
Keywords:change detection, structural damage detection, vehicle bridge interaction, variational mode decomposition, moving mass, vibration, damage detection, SHM of bridge, empirical mode decomposition
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical circuits and systems
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Environmental policy, legislation and standards
Objective Field:Environmental policy, legislation and standards not elsewhere classified
UTAS Author:Mousavi, M (Mr Mohsen Mousavi)
UTAS Author:Holloway, D (Associate Professor Damien Holloway)
UTAS Author:Olivier, JC (Professor JC Olivier)
ID Code:140307
Year Published:2021
Web of Science® Times Cited:2
Deposited By:Engineering
Deposited On:2020-08-06
Last Modified:2021-09-20
Downloads:0

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