Unmanned aerial vehicle acquisition of three-dimensional digital image correlation measurements for structural health monitoring of bridges

2017 ◽  
Author(s):  
Daniel Reagan ◽  
Alessandro Sabato ◽  
Christopher Niezrecki
Keyword(s):  
Structural Health Monitoring ◽  
Digital Image Correlation ◽  
Unmanned Aerial Vehicle ◽  
Digital Image ◽  
Health Monitoring ◽  
Three Dimensional ◽  
Image Correlation ◽  
Structural Health ◽  
Aerial Vehicle

Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges

2017 ◽  
Vol 17 (5) ◽  
pp. 1056-1072 ◽  
Author(s):  
Daniel Reagan ◽  
Alessandro Sabato ◽  
Christopher Niezrecki
Keyword(s):  
Digital Image Correlation ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Digital Image ◽  
Health Monitoring ◽  
Three Dimensional ◽  
Image Correlation ◽  
Aerial Vehicles ◽  
Aerial Vehicle

Quantifying the condition of aging structures is important to verify structural integrity and long-term reliability. Structural health monitoring plays a key role in the prevention of catastrophic failure, in improving the safety of infrastructure, and in reducing the downtime and costs associated with their maintenance. Bridges are typically designed to have a lifespan on order of 50 years; therefore, bridge monitoring is important since many of them are near to or have already exceeded their design life. Conventional sensors and examination techniques such as accelerometers and strain gages produce results at only a discrete number of points. Visual inspection only provides qualitative information and is subject to human variability and inconsistencies between inspectors. Moreover, both approaches are labor intensive and time-consuming. In recent years, three-dimensional digital image correlation systems have proven their efficiency in being able to provide accurate quantitative information of structural deformations, full-field strain, and geometry profiles of large-scale structures. At the same time, unmanned aerial vehicles have emerged as valuable tools for remotely performing measurements in places, which are either difficult or dangerous to access. With regard to bridge inspection, unmanned aerial vehicles have the capability to expedite the measurement process, offer increased accessibility, and reduce interference with the structures’ functionality. In this study, a novel approach that combines the use of an unmanned aerial vehicle and three-dimensional digital image correlation is developed to perform non-contact, optically based measurements to monitor the health of bridges. Extensive laboratory tests and a long-term monitoring campaign on two in-service concrete bridges demonstrated the accuracy of this system in detecting structural changes. Results show that this system is able to detect changes to the bridge geometry with an uncertainty on the order of 10−5 m while improving accessibility. The feasibility of the approach, best practices, and lessons learned is presented.

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.

scholarly journals Digital image correlation for structural health monitoring – a review

2021 ◽  
Vol 309 ◽  
pp. 01176
Author(s):  
K Tharun Kumar Reddy ◽  
Srikanth Koniki
Keyword(s):  
Structural Health Monitoring ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Health Monitoring ◽  
Vital Role ◽  
Image Correlation ◽  
Detailed Knowledge ◽  
Engineering Applications ◽  
Detailed Review ◽  
Structural Health

This paper presents a detailed review of the use of digital image correlation on structural health monitoring. The durability of structures like bridges and buildings etc., need to monitor continuously. Structural health monitoring plays a vital role in assets and planning. Detailed knowledge on digital image correlation concerning structural health monitoring and civil engineering applications is presented in this paper.

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