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An Optical Crack Growth Sensor Using the Digital Sampling Moiré Method

1
Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong, China
2
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(10), 3466; https://doi.org/10.3390/s18103466
Received: 6 September 2018 / Revised: 6 October 2018 / Accepted: 9 October 2018 / Published: 15 October 2018
(This article belongs to the Special Issue Smart Sensors for Structural Health Monitoring)
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Abstract

High-accuracy crack growth measurement is crucial for the health assessment of concrete structures. In this work, an optical crack growth sensor using the digital sampling moiré (DSM) method is developed for two-dimensional (2D) crack growth monitoring. The DSM method generates moiré fringes from a single image through digital image processing, and it measures 2D displacements using the phase difference of moiré fringes between motion. Compared with the previous sensors using traditional photogrammetric algorithms such as the normalized cross-correlation (NCC) method, this new DSM-based sensor has several advantages: First, it is of a higher sensitivity and lower computational cost; second, it requires no prior calibration to get accurate 2D displacements which can greatly simplify the practical application for multiple crack monitoring. In addition, it is more robust to the change of imaging distance, which is determined by the height difference between two sides of a concrete crack. These advantages break the limitation of the NCC method and broaden the applicability of the crack growth sensor. These advantages have been verified with one numerical simulation and two laboratory tests. View Full-Text
Keywords: optical crack growth sensor; digital sampling moiré; 2D crack growth; calibration; concrete crack optical crack growth sensor; digital sampling moiré; 2D crack growth; calibration; concrete crack
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Chen, X.; Chang, C.-C.; Xiang, J.; Zhang, C.; Liu, M. An Optical Crack Growth Sensor Using the Digital Sampling Moiré Method. Sensors 2018, 18, 3466.

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