Characterisation of concrete cracking during laboratorial tests using image processing

Valença, Jónatas; Dias-da-Costa, D.; Júlio, Eduardo

doi:10.1016/j.conbuildmat.2011.08.082

Cited by 61 publications

(27 citation statements)

References 10 publications

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“…The characterisation of crack patterns in surfaces can be done using image processing algorithms [24]. Most approaches require certain light conditions to avoid false detections due to stains or shadows existing on the surface [22,24]. Despite of this, the level of precision can be quite high and depends mainly on the spatial resolution of the image.…”

Section: Crack Measurement Using Image Processingmentioning

confidence: 99%

“…Since the slippage depends on the level of applied load, a careful characterisation of the crack pattern can be used to predict the behaviour inside the reinforced concrete member, namely the deformation in steel reinforcements. The characterisation of crack patterns in surfaces can be done using image processing algorithms [24]. Most approaches require certain light conditions to avoid false detections due to stains or shadows existing on the surface [22,24].…”

Section: Crack Measurement Using Image Processingmentioning

confidence: 99%

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Assessing steel strains on reinforced concrete members from surface cracking patterns

Carmo

Valença

Silva

et al. 2015

Construction and Building Materials

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h i g h l i g h t sMethod to assess steel strains inside concrete members using surface measurements. This approach has non-contact and does not interfere with the bond between steel and concrete. Validation using concrete ties monitored using strain gauges placed inside the steel bars. The technique can be applied to narrow regions, surrounding a single crack, or to larger regions. Results proved the feasibility of the method. a b s t r a c tThe measurement of steel strains in reinforced concrete structures is often critical to characterise the stresses along the member. In this scope, this manuscript describes the development of a method to assess steel strains inside concrete members using solely surface measurements. These measurements were obtained using photogrammetry and image processing. The technique was validated using two concrete ties monitored with strain gauges placed inside the steel bars. The experimental results showed that one of the most important parameters affecting the accuracy of the technique is the measurement of crack widths. In comparison, the concrete strain has little effect on the final results. The technique is particularly advantageous since it is non-contact and does not impact on the bond conditions. It also does not require accessing the reinforcements. As a main conclusion, this work showed the feasibility of estimating strains inside the structure using surface measurements. This technique will benefit in the near future from further improvements namely in what concerns the camera resolution.

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Section: Crack Measurement Using Image Processingmentioning

confidence: 99%

Section: Crack Measurement Using Image Processingmentioning

confidence: 99%

Assessing steel strains on reinforced concrete members from surface cracking patterns

Carmo

Valença

Silva

et al. 2015

Construction and Building Materials

Self Cite

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“…Liu et al (2011) introduced an automatic quantification method for pores on clay materials based on SEM images, which uses a global thresholding method to segment the image and then divide the segmented objects, and mainly discusses the analysis of geometrical parameters. Valença et al (2012) used a digital image processing method to automatically characterize concrete cracking. Sinha and Fieguth (2006) presented a two-step crack detection approach for buried concrete pipe images.…”

Section: Introductionmentioning

confidence: 99%

Extraction of microcracks in rock images based on heuristic graph searching and application

Luo

Zhu

Ruan

et al. 2015

Computers & Geosciences

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“…Each beam was instrumented using traditional measurement devices to monitor load and the vertical displacements at the three points shown in Figure 1(a). The crack openings were measured for one beam during the test [30][31][32]. Figure 3 shows the load vs. displacement curves for all tested specimens and a representation of all stages monitored.…”

Section: Experimental Testsmentioning

confidence: 99%

Validation of a Discrete Crack Model for Lightweight Aggregate Concrete Beams

Dias-da-Costa¹,

Graça-e-Costa²,

Carmo³

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Characterisation of concrete cracking during laboratorial tests using image processing

Cited by 61 publications

References 10 publications

Assessing steel strains on reinforced concrete members from surface cracking patterns

Assessing steel strains on reinforced concrete members from surface cracking patterns

Extraction of microcracks in rock images based on heuristic graph searching and application

Validation of a Discrete Crack Model for Lightweight Aggregate Concrete Beams

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