eCite Digital Repository
Beam damage detection using synchronisation of peaks in instantaneous frequency and amplitude of vibration data
Citation
Mousavimirkalaei, 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: | Mousavimirkalaei, M (Mr Mohsen Mousavimirkalaei) |
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: | 24 |
Deposited By: | Engineering |
Deposited On: | 2020-08-06 |
Last Modified: | 2021-09-20 |
Downloads: | 0 |
Repository Staff Only: item control page