Kalybek, M, Bocian, M, Wojciech, P et al. (2 more authors) (2021) Performance of camera-based vibration monitoring systems in input-output modal identification using shaker excitation. Remote Sensing, 13 (17). 3471. ISSN 2072-4292
Abstract
Despite significant advances in the development of high-resolution digital cameras in the last couple of decades, their potential remains largely unexplored in the context of input-output modal identification. However, these remote sensors could greatly improve the efficacy of experimental dynamic characterisation of civil engineering structures. To this end, this study provides early evidence of the applicability of camera-based vibration monitoring systems in classical experimental modal analysis using an electromechanical shaker. A pseudo-random and sine chirp excitation is applied to a scaled model of a cable-stayed bridge at varying levels of intensity. The performance of vibration monitoring systems, consisting of a consumer-grade digital camera and two image processing algorithms, is analysed relative to that of a system based on accelerometry. A full set of modal parameters is considered in this process, including modal frequency, damping, mass and mode shapes. It is shown that the camera-based vibration monitoring systems can provide high accuracy results, although their effective application requires consideration of a number of issues related to the sensitivity, nature of the excitation force, and signal and image processing. Based on these findings, suggestions for best practice are provided to aid in the implementation of camera-based vibration monitoring systems in experimental modal analysis.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2021 by the authors. This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | experimental modal analysis; modal damping; modal mass; computer vision; vibration testing |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/P017169/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Sep 2021 10:30 |
Last Modified: | 03 Sep 2021 10:30 |
Status: | Published |
Publisher: | MDPI |
Identification Number: | 10.3390/rs13173471 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177561 |