Identification of structural dynamic characteristics based on machine vision technology

Asa convenient and effective tool for monitoring of the structural behaviors of civil infrastructure, the machine vision-based sensing technology integrated with digital image processing algorithm has achieved great progress in the field of structural health monitoring (SHM). The prominent advantage...

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Veröffentlicht in:Measurement : journal of the International Measurement Confederation Jg. 126; S. 405 - 416
Hauptverfasser: Dong, C.Z., Ye, X.W., Jin, T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Elsevier Ltd 01.10.2018
Elsevier Science Ltd
Schlagworte:
Accelerometers
Digital image processing algorithm
Digital imaging
Dynamic characteristics
Dynamic response
Fast Fourier transformations
Image processing
Infrastructure
Machine vision
Modal parameter identification
Parameter identification
Structural dynamic response
Structural health monitoring
Technology
Vision systems
Vision-based technology
Structural dynamic response
Structural health monitoring
Vision-based technology
Modal parameter identification
Digital image processing algorithm
ISSN:0263-2241, 1873-412X
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Zusammenfassung:Asa convenient and effective tool for monitoring of the structural behaviors of civil infrastructure, the machine vision-based sensing technology integrated with digital image processing algorithm has achieved great progress in the field of structural health monitoring (SHM). The prominent advantages of this kind of measurement technology mainly include non-contact, long-distance and high-resolution. Up to now, various types of vision-based systems have been developed and applied in structural performance monitoring of engineering structures, however, seldom investigations are relevant to monitoring of structural dynamic characteristics. In this paper, the method for multi-point synchronous measurement of structural dynamic displacement is proposed. The structural modal parameters are identified using measured multi-point dynamic displacements and fast Fourier transform. A simple-supported rectangle steel beam model is established for conducting experiments to investigate (i) comparison study on the measurement results obtained by the vision-based system and the accelerometer, (ii) the effect of the measurement distance on the accuracy of the vision-based system, and (iii) the feasibility of different types of targets (LED lamp and black spot). The experimental results show that the proposed vision-based method is effective, accurate and stable for structural dynamic response monitoring and modal parameter identification.
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ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2017.09.043