Frequency-based damage detection in cantilever beam using vision-based monitoring system with motion magnification technique

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This article proposes a method for damage detection using vision-based monitoring with motion magnification technique. The methods based on the vibration characteristics of structures such as natural frequency, mode shapes, and modal damping have been applied to structural damage detection. However, the conventional methods have limitations for practical applications. Vision-based monitoring system can be employed as a new structural monitoring system because of its simplicity, potentially low cost, and unique capability of collecting high-resolution data. A methodology called video motion magnification has been developed to amplify non-visible small motions in a video to reveal the dynamic response. The video motion magnification method can be applied to measure small displacements to calculate the natural frequencies and the operational deflection shapes of the structures. Unlike conventional optimization methods, a genetic algorithm explores the entire solution space and can obtain the global optimum. In this article, identification of the location and magnitude of damage in a cantilever beam is formulated as an optimization problem using a real-value genetic algorithm by minimizing the objective function, which directly compares the first three natural frequencies changes from the phase-based motion magnification measurement and from the analytical model of a damaged cantilever beam. © The Author(s) 2018.
Publisher
SAGE PUBLICATIONS LTD
Issue Date
2018-12
Language
English
Article Type
Article
Citation

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, v.29, no.20, pp.3923 - 3936

ISSN
1045-389X
DOI
10.1177/1045389X18799961
URI
http://hdl.handle.net/10203/248674
Appears in Collection
AE-Journal Papers(저널논문)
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