Development of a Semi-autonomous Drone for Structural Health Monitoring of Structures Using Digital Image Correlation (DIC)

2018 ◽  
pp. 49-57 ◽  
Author(s):  
Sean Catt ◽  
Benjamin Fick ◽  
Matthew Hoskins ◽  
Joseph Praski ◽  
Javad Baqersad
Keyword(s):  
Structural Health Monitoring ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Health Monitoring ◽  
Image Correlation ◽  
Structural Health

Structural health monitoring of bridges using digital image correlation

2013 ◽  
Author(s):  
Christopher Nonis ◽  
Christopher Niezrecki ◽  
Tzu-Yang Yu ◽  
Shafique Ahmed ◽  
Che-Fu Su ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Health Monitoring ◽  
Image Correlation ◽  
Structural Health

scholarly journals Application of Digital Image Correlation in Structural Health Monitoring of Bridge Infrastructures: A Review

2021 ◽  
Vol 6 (12) ◽  
pp. 176
Author(s):  
Mohammed Abbas Mousa ◽  
Mustafasanie M. Yussof ◽  
Ufuoma Joseph Udi ◽  
Fadzli Mohamed Nazri ◽  
Mohd Khairul Kamarudin ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Health Monitoring ◽  
Image Correlation ◽  
Steel Bridge ◽  
Long Distance ◽  
Reliable Technique ◽  
Structural Health ◽  
Non Destructive

A vision-based approach has been employed in Structural Health Monitoring (SHM) of bridge infrastructure. The approach has many advantages: non-contact, non-destructive, long-distance, high precision, immunity from electromagnetic interference, and multiple-target monitoring. This review aims to summarise the vision- and Digital Image Correlation (DIC)-based SHM methods for bridge infrastructure because of their strategic significance and security concerns. Four different bridge types were studied: concrete, suspension, masonry, and steel bridge. DIC applications in SHM have recently garnered attention in aiding to assess the bridges’ structural response mechanisms under loading. Different non-destructive diagnostics methods for SHM in civil infrastructure have been used; however, vision-based techniques like DIC were only developed over the last two decades, intending to facilitate damage detection in bridge systems with prompt and accurate data for efficient and sustainable operation of the bridge structure throughout its service life. Research works reviewed in this article demonstrated the DIC capability to detect damage such as cracks, spalling, and structural parameters such as deformation, strains, vibration, deflection, and rotation. In addition, the reviewed works indicated that the DIC as an efficient and reliable technique could provide sustainable monitoring solutions for different bridge infrastructures.

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