Shape Analysis of Fine Aggregates Used for Concrete

He, Huan; Courard, Luc; Pirard, Eric; Michel, Frédéric

doi:10.5566/ias.1400

Cited by 23 publications

(6 citation statements)

References 26 publications

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“…Concave surfaces might be created after the splining process. To evaluate this feature, the degree of convexity is used, which is commonly obtained by the ratio of the volume of the particle to the volume of convex hull [57] generated by the same vertices as the following equation [58]:…”

Section: Quantitative Description Of Particle Shapementioning

confidence: 99%

An integrated framework for modelling virtual 3D irregulate particulate mesostructure

Naderi

Zhang

2019

Powder Technology

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Many particulate composites show heterogenous mesoscopic structural behaviour due to a random distribution of irregular shaped particles with different sizes ranging from micro to macro scale. Accurate mesoscale models are required to represent actual geometric properties of such a composite with realistic features. In this paper, a cost-effective simulation framework is presented, which can virtually generate three-dimensional mesostructure models composed of irregulate particles with real characteristics. A MATLAB code is developed based on the Voronoi tessellation method and the splining technique. The hybrid Voronoi-spline algorithm can be programmed to control the shape and size of particles based on the experimental data. The examples demonstrated the proper adjustability of the models in accordance with the sieve analysis and shape parameters such as sphericity and roundness. The generated model as a triangulated geometry surface can be directly exported into computational analysis of materials, which uses other numerical techniques including finite element method.

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Section: Quantitative Description Of Particle Shapementioning

confidence: 99%

An integrated framework for modelling virtual 3D irregulate particulate mesostructure

Naderi

Zhang

2019

Powder Technology

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“…For this reason, the feed of aggregates for separation in a pulsating medium stream should show variations in terms of geometric features especially size and shape [24][25][26], which enables the shape of the grains to be defined in many ways [27][28][29][30]. Purified grains of regular shape have an additional effect on the strength of prefabricated elements, e.g., concrete or thermal, such as dolomite [31].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Aggregate Production Process with Different Geometric Properties in the Light Fraction Separator

et al. 2022

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This article presents an analysis of separation results in a specially designed and activated light fraction separator used to remove impurities from mineral aggregates. Laboratory tests conducted on a quarter-technical scale involved performing experiments to ascertain the scope for adjusting the variable settings of the separator operating parameters. These include the frequency and amplitude of pulsation, the height of the heavy-product reception threshold, the size of water flow and variations in the grain size and shape of the feed. During the experiments, the degrees of chalcedonite and dolomite grain purification were studied within the range of grain size for the feed: (2.0–4.0 mm for small grains, 8.0–16.0 for coarse grains and 2.0–16.0 mm for a wide range of grain sizes). The effects of the separator were assessed based on the amount of organic impurities in each heavy product. In all experiments, very good results were obtained, because the percentage of impurities in the product after separation was below 1% in accordance with the assumed technological standard assumption. Regarding the obtained content of light impurities with the separator set to optimal operating parameters, the percentage of light impurities in the product content was reduced to below 0.1%, which meets the guidelines described according to applicable standards. Multi-variant analysis allowed the optimal operating ranges of the separator to be determined, producing refined aggregate in terms of grain size and shape. The final results were also linked to the performance of the device, and its model dependencies were also determined.

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“…Recently, digital imaging methods has found a great interest in studying micro-structural characteristics, particle size distribution, size and shape characteristics and air void distribution of concrete (Yang et al, 2014;Nichols and Lange, 2006;Mora and Kwan, 2000;Ozen and Guler, 2014;Fernlund et al, 2007;Lee et al, 2007;He et al, 2016;Peterson et al, 2001). A main advantage of image processing relies on its ability to perform such analysis in a rapid, objective, efficient and cost effective manner with moderate level of hardware and software requirements.…”

Section: Introductionmentioning

confidence: 99%

Quantification of Segregation in Portland Cement Concrete Based on Spatial Distribution of Aggregate Size Fractions

Özen

Güler

2020

Image Anal Stereol

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Segregation is one of the quality standards that must be monitored during the fabrication and placement of Portland cement concrete. Segregation refers to separation of coarse aggregate from the cement paste, resulting in inhomogeneous mixture. This study introduces a digital imaging based technique to quantify the segregation of Portland cement concrete from 2D digital images of cut sections. In the previous studies, segregation was evaluated based on the existence of coarse aggregate fraction at different geometrical regions of a sample cross section without considering its distribution characteristics. However, it is shown that almost all particle fractions can form clusters and increase the degree of segregation, thus deteriorating the structural performance of concrete. In the proposed methodology, a segregation index is developed by based on the spatial distribution of different size fractions of coarse aggregate within a sample cross section. It is shown that degradation in mixture’s homogeneity is controlled by the combined effect of particle distribution and their relative proportions in the mixture. Hence, a segregation index characterizing the mixture inhomogeneity is developed by considering not only spatial distribution of aggregate particles, but also their size fractions in the mixture. The proposed methodology can be successfully used as a quality control tool for monitoring the segregation level in hardened concrete samples.

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Shape Analysis of Fine Aggregates Used for Concrete

Cited by 23 publications

References 26 publications

An integrated framework for modelling virtual 3D irregulate particulate mesostructure

An integrated framework for modelling virtual 3D irregulate particulate mesostructure

Analysis of the Aggregate Production Process with Different Geometric Properties in the Light Fraction Separator

Quantification of Segregation in Portland Cement Concrete Based on Spatial Distribution of Aggregate Size Fractions

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