Digital image correlation analysis of crack behavior in a reinforced concrete beam during a load test

Küntz, Michel; Jolin, Marc; Bastien, Josée; Pérez, Fabienne; Hild, François

doi:10.1139/l06-106

Cited by 79 publications

(36 citation statements)

References 3 publications

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“…For instance, crack tip opening angles [25] or crack tip opening displacements [12,19,13] are measured with a very good accuracy by means of DIC. The technique can be applied to small areas [18], and to large structures such as aeronautical parts [26] or bridges [27] with the same algorithms. The fact that displacement uncertainties of the order of 10 −2 pixel are achieved allows this technique to reveal cracks that cannot be seen if their opening is less than one pixel wide.…”

Section: Introductionmentioning

confidence: 99%

Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks

Roux¹,

Réthoré²,

Hild³

2009

J. Phys. D: Appl. Phys.

210

132

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Abstract. Digital image correlation is a measurement technique that allows one to retrieve displacement fields "separating" two digital images of the same sample at different stages of loading. Because of its remarkable sensitivity, it is not only possible to detect cracks with sub-pixel opening, which would not be visible, but also to provide accurate estimates of stress intensity factors. For this purpose suitable tools have been devised to minimize the sensitivity to noise. Working with digital images allows the experimentalist to deal with a wide range of scales from atomistic to geophysical one with the same tools. Various examples are shown at different scales, as well as some recent extensions to three dimensional cracks based on X-ray Computed micro-tomographic images.

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Section: Introductionmentioning

confidence: 99%

Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks

Roux¹,

Réthoré²,

Hild³

2009

J. Phys. D: Appl. Phys.

210

132

View full text Add to dashboard Cite

show abstract

“…The accuracy of this method is primarily associated with the interest points' location in each image frame. Hence, the key task to achieve a highaccuracy measuring method is determined by performance of the feature detection and matching (Küntz et al 2006). Therefore, obtaining the optimal feature detection, matching, and/or tracking algorithm has top priority over other tasks in our research.…”

Section: Methods For Measuring Deflections Of Civil Infrastructuresmentioning

confidence: 99%

Comparing Feature Matching Algorithms for Measuring In-Plane Strains on Civil Infrastructures

Feng¹,

Dai²,

Zhao³

2017

Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction

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Maintaining structural integrity of civil infrastructures such as bridges and tunnels is always an essential task for civil engineers. Collapse or damage of these infrastructures may lead to a tremendous amount of painful injuries, casualties, and societal losses. This paper reported the work on evaluating optimal feature matching algorithms for development of visual sensing-based techniques to measure in-plane deflections and strains in order to facilitate monitoring and evaluation of integrity of civil infrastructures in a cost-effective way. A series of experiments were conducted in which three algorithms Digital Image Correlation (DIC), Scale-Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF) were compared. The result indicated that DIC has superiority among the three algorithms. To further assess the accuracy of DIC, a high-speed industrial camera was then used to capture a series of continuous image frames of deformed real-world scenarios. The DIC algorithm was adopted in the feature detection and tracking process, and in-plane displacement and strains were calculated and compared with the ground truth. The result indicated that the DIC-based method can achieve highly accurate performance in measuring in-plane deflections and strains for civil infrastructures and holds potential to the development of visual sensing enabled structural health monitoring.

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“…These were mainly for materials characterisation or measurements on structures where there were large or rapidly varying strain distributions. There are examples of DIC being used for component testing of civil engineering structures [4] but relatively few examples where measurements have been made out of the lab or in-situ [5,6]. The following examples have been chosen to give an idea of the range of structures for which DIC may be used.…”

Section: Practical In-situ Examplesmentioning

confidence: 99%

Practical <i>In Situ</i> Applications of DIC for Large Structures

McCormíck

Lord

2010

AMM

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Abstract. The paper describes recent use of Digital Image Correlation (DIC) for in-situ measurements of deformation and cracking of large civil engineering structures like bridges and power plant. Recent work at NPL has demonstrated the potential of DIC as a novel NDT tool for measuring deformation and cracking in reinforced concrete structures. This has particular application where the area of interest is in a region where inspection is difficult or costly and where direct access may have safety implications. In this case accurate measurements from pairs of images can be very cost effective.Work is on-going in establishing the effects on the measurements caused by environmental effects and the requirement for repositioning of the camera during image capture. Techniques for mitigating these effects on accuracy will be reported. This paper will present data from some initial studies and discuss some of the factors that influence the accuracy of the technique when used outside the laboratory.

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Digital image correlation analysis of crack behavior in a reinforced concrete beam during a load test

Cited by 79 publications

References 3 publications

Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks

Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks

Comparing Feature Matching Algorithms for Measuring In-Plane Strains on Civil Infrastructures

Practical <i>In Situ</i> Applications of DIC for Large Structures

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