Measurement of deformations on concrete subjected to compression using image correlation

Choi, Seokheun; Shah, Surendra P.

doi:10.1007/bf02317423

Cited by 222 publications

(117 citation statements)

References 17 publications

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“…Several attempts were made to obtain an evenly distributed pattern of black paint drops. The same procedure is used in different studies in the case of actual experiments [14][15][16][17][18][19]. Three different images with a randomly chosen size of 250 × 500 pixels are extracted from this speckle pattern.…”

Section: Creation Of the Different Speckle Patternsmentioning

confidence: 99%

Quality assessment of speckle patterns for digital image correlation

Lecompte

Smits

Bossuyt

et al. 2006

Optics and Lasers in Engineering

446

231

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Digital image correlation (DIC) is an optical-numerical full-field displacement measuring technique, which is nowadays widely used in the domain of experimental mechanics. The technique is based on a comparison between pictures taken during loading of an object. For an optimal use of the method, the object of interest has to be covered with painted speckles. In the present paper, a comparison is made between three different speckle patterns originated by the same reference speckle pattern. A method is presented for the determination of the speckle size distribution of the speckle patterns, using image morphology. The images of the speckle patterns are numerically deformed based on a finite element simulation. Subsequently, the displacements are measured with DIC-software and compared to the imposed ones. It is shown that the size of the speckles combined with the size of the used pixel subset clearly influences the accuracy of the measured displacements.

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Section: Creation Of the Different Speckle Patternsmentioning

confidence: 99%

Quality assessment of speckle patterns for digital image correlation

Lecompte

Smits

Bossuyt

et al. 2006

Optics and Lasers in Engineering

446

231

View full text Add to dashboard Cite

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“…Due to several factors such as available contrast, image quality, noise and the correlation algorithm chosen, so-called systematic errors can be induced and affect the accuracy [4,5,6]. They correspond to systematic over-or under-estimation by DIC algorithms of the actual displacement field, correlated with the value of the fractional part of the amplitude of the displacement, expressed in pixels.…”

Section: Systematic Errorsmentioning

confidence: 99%

Optimized optical setup for DIC in rock mechanics

Yang

Bornert

Gharbi

et al. 2010

EPJ Web of Conferences

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Abstract. In order to investigate the micromechanical mechanisms of argillaceous rocks under combined mechanical load and varying moisture, and observe very low strain rates of about 10 -10 s -1 , i.e. about 10 -4 per week, a specific optical setup for DigitalImage Correlation (DIC) has been developed at the Solids Mechanics Laboratory, Ecole Polytechnique. This paper mainly presents two procedures to optimize the experimental setup and enhance the full-field strain measurement accuracy. The first one allows us to minimize the systematic DIC errors by choosing an optimal optical setup, including appropriate lens aperture and light source with small wavelength, in combination with a specific grey level interpolation method (bilinear, bicubic, biquintic) in DIC algorithms. The second procedure aims at reducing the errors induced by overall out-of-plane motions of the sample. This procedure makes use of a specifically designed optical microscope, which tracks the few tens of micrometers out-of-plane motions of the sample all along the several months lasting test, to compensate the magnification fluctuations which disturb the macroscopic measurements. The current optimized optical setup gives a better than 10 -5 accuracy at macro scale (3 mm gage length) and 10 -4 accuracy at microscale (about 100 µm gage length).

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“…It also presents the advantage of being easily implemented into most experimental setups, requiring no strict operating conditions or time consuming preparation, nor does it require gauges in contact with the specimen which might interfere with the experiment. It is now commonly used for the determination of constitutive laws [13] and has also been applied to the study of the fracture behaviour of concrete [14,15]. The principle of DIC is briefly summed up below.…”

Section: Digital Image Correlationmentioning

confidence: 99%

Characterization of fracture patterns and hygric properties for moisture flow modelling in cracked concrete

Rouchier

Janssen

Rode

et al. 2012

Construction and Building Materials

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International audienceSeveral years after their installation, building materials such as concrete present signs of ageing in the form of fractures covering a wide range of sizes, from microscopic to macroscopic cracks. All sizes of fractures can have a strong influence on heat and moisture flow in the building envelope, but their distribution is difficult to predict due to the variety of environmental factors which cause them. This paper aims at applying experimental non-destructive techniques for the observation of fracture patterns and of fluid flow in fractures, in order to provide this data to models for fluid transfer in fractured porous media. Digital image correlation was performed during the fracturing of concrete samples, in which moisture uptake was then monitored using X-ray radiography. Finite-element simulations were then performed based on the measurements of the fracture patterns, in order to recreate the measured moisture concentration profiles. Digital image correlation was found suitable as a mean to obtain a complete mapping of the deformations at the surface of the samples, and a first step was made towards the use of non-destructive fracture characterization for the purpose of moisture transfer modelling

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Measurement of deformations on concrete subjected to compression using image correlation

Cited by 222 publications

References 17 publications

Quality assessment of speckle patterns for digital image correlation

Quality assessment of speckle patterns for digital image correlation

Optimized optical setup for DIC in rock mechanics

Characterization of fracture patterns and hygric properties for moisture flow modelling in cracked concrete

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