Image processing applied to the analysis of segregation in lightweight aggregate concretes

Barbosa, Fernando Policarpo; Beaucour, Anne-Lise; Farage, Michèle Cristina Resende; Ortola, Sophie

doi:10.1016/j.conbuildmat.2011.03.028

Cited by 45 publications

(19 citation statements)

References 7 publications

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“…In the clustering methods, pixels were classified based on a statistical criterion to define objects and background regions [22]. Lastly, the LWA particles were recognized and numbered by IPP software [23,10,24]. …”

Section: Image Capture and Processingmentioning

confidence: 99%

“…The fractal dimension correlates very well with interface roughness. The rougher the interface is, the higher the fractal dimension would be [10]. Automatic image analysis is well developed for the measurements of fractal dimensions.…”

Section: Introductionmentioning

confidence: 99%

“…angular, subangular, subrounded, rounded and well rounded [1,25]. Limitation of available test methods has directed researchers towards seeking new technologies to measure aggregate shape accurately and rapidly [4,10]. With the advances of computers and software, digital image processing (DIP) techniques have been used to characterize several material properties, including aggregate particle properties, and concrete interface roughness [11,12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effects of particle characteristics of lightweight aggregate on mechanical properties of lightweight aggregate concrete

Xiong

Zhang

et al. 2014

Construction and Building Materials

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Section: Image Capture and Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effects of particle characteristics of lightweight aggregate on mechanical properties of lightweight aggregate concrete

Xiong

Zhang

et al. 2014

Construction and Building Materials

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“…However, experimental results indicate that this segregation index does not always reflect the real conditions of the specimen. Another fact is the difficulty in locating concentrations of aggregates, which could demand the weighing and the comparison of many specimens [18].…”

Section: Methods Proposed By Ke Et Almentioning

confidence: 99%

Image analysis applications for the study of segregation in lightweight concretes

Solak¹,

Tenza-Abril²,

Baeza-Brotons³

2017

Int. J. CMEM

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The use of lightweight concrete allows great flexibility and cost savings when it is used in building construction having a positive impact on the energy consumption of buildings due to its good thermal characteristics. However, it is also known that the differences between the densities of the materials used to produce these concretes make it highly susceptible to the segregation phenomenon. The main objective of the present work is to present a method to quantify this phenomenon using techniques of image analysis. In this work, a lightweight concrete produced was molded in cylindrical molds using different times of internal vibration and causing different degrees of segregation. The samples were cured, vertically saw-cut in two pieces (halves) and the sections were photographed. Subsequently, the halves were saw-cut horizontally in four equal parts and posteriorly their densities were determined experimentally. The densities obtained were used to calculate the segregation index of each sample (experimental method). Furthermore, the photographed sections were processed using image analysis software in order to determine the volumetric proportions of aggregates in each sample (noise reduction, threshold adjustment, binarization and fill holes). The processed images were used to calculate the densities and segregation index of the lightweight concrete produced through image analysis. In addition, using the photographed sections, a vertical density profile was programmed to analyze the distribution of the lightweight concrete components (mortar and aggregate). Finally, the results obtained experimentally and through image analysis were compared. This study demonstrates that the image analysis allows a deeper knowledge of the behavior of segregated concrete

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“…Over the past several decades, computer performance has improved significantly, so that it became reality to simulate fracture behaviors of heterogeneous concrete at the mesoscale level. Many numerical methods, such as the digital image processing (DIP) method (Barbosa et al 2011;Başyiğit et al 2012) and the parameterization modeling (PM) method (Qin et al 2013;Xu, Chen 2016;Yin et al 2015;Zhang et al 2016), were developed for modeling heterogeneous concrete with aggregates and mortar matrix. Recently, air voids were also contained in some numerical models created with the DIP (Huang et al 2016) and PM (Ren, Sun 2017;Wang et al 2015Wang et al , 2016 methods to assess the effects of the characteristic parameters of air voids on the fracture properties of concrete.…”

Section: Introductionmentioning

confidence: 99%

Air-Void-Affected Zone in Concrete Beam Under Four-Point Bending Fracture

Zhang

Yang

Gao

2018

Journal of Civil Engineering and Management

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Abstract.A series of numerical simulations were performed on prenotched four-point bending (FPB) concrete beams containing air voids of different sizes and locations by using the finite element method combined with the cohesive crack model. The void-affected zone was proposed for characterizing the effect of a void on a fracture, and its size was determined by moving an air void horizontally until the crack path changed. As a function of air void location and size, the dimensionless affected-zone radius was fitted according to the numerical results. Finally, the fracture processes of the prenotched FPB concrete beams with randomly distributed voids were simulated numerically, and the affected-zone radius was used to explain the choice of crack paths to verify the prediction. It was found that the prediction is accurate for an isolated affected zone and is roughly approximate for an overlapped one.

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Image processing applied to the analysis of segregation in lightweight aggregate concretes

Cited by 45 publications

References 7 publications

Effects of particle characteristics of lightweight aggregate on mechanical properties of lightweight aggregate concrete

Effects of particle characteristics of lightweight aggregate on mechanical properties of lightweight aggregate concrete

Image analysis applications for the study of segregation in lightweight concretes

Air-Void-Affected Zone in Concrete Beam Under Four-Point Bending Fracture

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