Exploiting Image Assisted Total Station in Digital Image Correlation (DIC) displacement measurements: insights from laboratory experiments

Mugnai, Francesco; Caporossi, Paolo

doi:10.1080/22797254.2021.2025153

Cited by 12 publications

(11 citation statements)

References 59 publications

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“…It has been used to detect displacements occurring in structures over long periods of time (Tung et al, 2013), to measure the response of structural elements to dynamic loads (Niezrecki et al, 2010) and to continuously monitor displacements caused by slowly varying loading conditions (Taghavikish and Elhabiby, 2021), on both laboratorial (Th eriault et al, 2022) and field work (Ngeljaratan and Moustafa, 2020). It has also shown good accuracy at longer measurement distances (Mugnai et al, 2022). Nonetheless, other image processing techniques are also currently being used in structural monitoring applications (Ribeiro et al, 2021, Ribeiro et al, 2020.…”

Section: State Of the Artmentioning

confidence: 99%

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Detection and measurement of beam deflection in the Madeira Airport runway extension using digital image correlation

Barros

Aguiar

Sousa

et al. 2022

IJSI

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PurposePart of the runway at Madeira Airport is a platform above the sea at a 60 m height, supported by a series of frames. When aircraft land on this section, a load is exerted on the structure, resulting in bending of the beams which constitute the frames. A vision-based monitoring system was devised and implemented to measure the deflection of the runway's beams when a landing occurs.Design/methodology/approachAn area on the midspan of two beams, located on the area where aircraft are most likely to land, was prepared with a speckle pattern, and a camera was assembled above a column on each of the adjacent frames, enabling the computation of displacements using digital image correlation (DIC). The camera continuously acquires images of the monitored area and compares them to a reference using DIC. If a displacement is detected, a number of frames before and after this event are saved for further DIC processing.FindingsThe installed systems successfully detected several events corresponding to landings and, for each of those events, measured the deflection of the beams over time and computed displacement fields for critical images, with strain values obtained up to this point being too small to measure using the current system.Originality/valueThis work provides novel insights into the behaviour of a unique structure and constitutes the first use of a vision system in its structural monitoring operations. It is also a valuable development in the implementation of automated DIC monitoring systems in locations of difficult access.

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Section: State Of the Artmentioning

confidence: 99%

“…, 2022) and field work (Ngeljaratan and Moustafa, 2020). It has also shown good accuracy at longer measurement distances (Mugnai et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

Detection and measurement of beam deflection in the Madeira Airport runway extension using digital image correlation

Barros

Aguiar

Sousa

et al. 2022

IJSI

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“…Compared with traditional monitoring systems based on measuring point sensors, such as accelerometers, robotic total stations, etc., the application of the image-based monitoring system to estimate the service state of bridge structures has advantages such as holography, convenience, and economy [ 16 , 17 , 18 ]. Access devices for digital images usually include digital cameras [ 19 , 20 , 21 , 22 , 23 ], UAV cameras [ 10 , 24 , 25 , 26 ], industrial cameras [ 27 , 28 , 29 , 30 ], mobile phones [ 31 , 32 , 33 ], etc. Many researchers [ 34 , 35 , 36 ] have achieved success in using image processing techniques to detect cracks in concrete surfaces.…”

Section: Introductionmentioning

confidence: 99%

“…Francesco Mugnai compared the precision of commercial optical sensors (DSLR Nikon D3200) with a state-of-the-art Image Assisted Total Station (IATS) Leica Nova MS60 and assessed their accuracy. The results showed that image-based sensors are expected to gradually develop their potential in structural monitoring [ 19 ]. A.Z.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Measuring and Tracking Structural Displacement Based on Surveillance Video Image Analysis

Ni,

Wang,

Yin

et al. 2024

Sensors

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The digital image method of monitoring structural displacement is receiving more attention today, especially in non-contact structure health monitoring. Some obvious advantages of this method, such as economy and convenience, were shown while it was used to monitor the deformation of the bridge structure during the service period. The image processing technology was used to extract structural deformation feature information from surveillance video images containing structural displacement in order to realize a new non-contact online monitoring method in this paper. The influence of different imaging distances and angles on the conversion coefficient (η) that converts the pixel coordinates to the actual displacement was first studied experimentally. Then, the measuring and tracking of bridge structural displacement based on surveillance video images was investigated by laboratory-scale experiments under idealized conditions. The results showed that the video imaging accuracy can be affected by changes in the relative position of the imaging device and measured structure, which is embodied in the change in η (actual size of individual pixel) on the structured image. The increase in distance between the measured structure and the monitoring equipment will have a significant effect on the change in the η value. The value of η varies linearly with the change in shooting distance. The value of η will be affected by the changes in shooting angle. The millimeter-level online monitoring of the structure displacement can be realized using images based on surveillance video images. The feasibility of measuring and tracking structural displacement based on surveillance video images was confirmed by a laboratory-scale experiment.

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“…However, depending on the monitoring object, their application can be difficult or impossible, regarding that contacting sensors need to be installed on the measurement points and connected to a fixed reference point (Li et al, 2015;Michel and Keller, 2021). In contrast, noncontact systems, including optical sensors such as vision-based sensors, total stations, laser scanners, and global navigation satellite systems (GNSS), can monitor the displacements outside the infrastructure (Mugnai et al, 2022;Omidalizarandi et al, 2018). However, optical sensors are affected by environmental conditions such as fog and rain, and GNSS are limited by centimeter accuracy and point-wise spatial sampling with a low spatial resolution (Li et al, 2015;Wu and Casciati, 2014).…”

Section: Introductionmentioning

confidence: 99%

Structural displacement monitoring using ground-based synthetic aperture radar

Hosseiny

Amini

Aghababaei

2023

International Journal of Applied Earth Observation and Geoinfor

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Exploiting Image Assisted Total Station in Digital Image Correlation (DIC) displacement measurements: insights from laboratory experiments

Cited by 12 publications

References 59 publications

Detection and measurement of beam deflection in the Madeira Airport runway extension using digital image correlation

Detection and measurement of beam deflection in the Madeira Airport runway extension using digital image correlation

Experimental Study on Measuring and Tracking Structural Displacement Based on Surveillance Video Image Analysis

Structural displacement monitoring using ground-based synthetic aperture radar

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