An Experimental Validation of Phase-Based Motion Magnification for Structures with Developing Cracks and Time-Varying Configurations

In this study, Computer Vision and Phase-Based Motion Magnification (PBMM) are validated for continuous Structural Health Monitoring (SHM) purposes. The aim is to identify the exact instant of occurrence for damage or abrupt structural changes from video-extracted, very low amplitude (barely visible...

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Bibliographic Details
Published in:Shock and vibration 2021, Vol.2021 (1)
Main Authors: Civera, M., Zanotti Fragonara, L., Antonaci, P., Anglani, G., Surace, C.
Format: Article
Language:English
Subjects:
Algorithms
Box beams
Computer vision
Damage
High aspect ratio
High definition
High speed cameras
Laboratories
Localization
Machine vision
Measurement techniques
Neural networks
Slender wings
Strain gauges
Structural health monitoring
Vibration
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Summary:In this study, Computer Vision and Phase-Based Motion Magnification (PBMM) are validated for continuous Structural Health Monitoring (SHM) purposes. The aim is to identify the exact instant of occurrence for damage or abrupt structural changes from video-extracted, very low amplitude (barely visible) vibrations. The study presents three experimental datasets: a box beam with multiple saw cuts of different lengths and angles, a beam with a full rectangular cross section and a mass added at the tip, and the spar of a prototype High-Aspect-Ratio wing. Both mode-shape- and frequency-based approaches are considered, showing the potential to identify the severity and position of the damage as well A high-definition, high-speed camera and a low-cost commercial alternative have been successfully utilised for these video acquisitions. Finally, the technique is also preliminarily tested for outdoor applications with smartphone cameras.
ISSN:1070-9622
1875-9203
DOI:10.1155/2021/5518163