Unified Method to Quantify Aggregate Shape Angularity and Texture Using Fourier Analysis

Wang, Linbing; Wang, Xingran; Mohammad, Louay N.; Abadie, Chris

doi:10.1061/(asce)0899-1561(2005)17:5(498)

Cited by 130 publications

(41 citation statements)

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“…The computer program developed for this study is a good practical implementation of Fourier analysis method (Masad and Button 2000;Wettimuny and Penumadu 2004;Wang et al 2005) to quantify the shape, angularity, and surface texture of aggregates. The developed methodology is not tied to a specific device but is transferable to other integrated computer-camera devices or to systems incorporating individual computer (with Matlab) and camera components.…”

Section: Discussionmentioning

confidence: 99%

“…In this light, the quantitative measurements must be consistent with the qualitative human judgment based on observations made with unaided eyes. The fact that the real spacing discernible by human eyes is 0.2 mm (Wang et al 2005) means that variation frequency (peak to trough) should not be larger than 180 deg for a particle of 25 mm in diameter. As the perimeter of a particle with a diameter of 25 mm is roughly 80 mm and the sampling space is 1 deg (peak to trough), then the spacing between the two boundary points is about 0.22 mm.…”

Section: Development Of the Aggregate Morphological Analysis Methodsmentioning

confidence: 99%

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Portable Image Analysis System for Characterizing Aggregate Morphology

Wang

Lane

et al. 2009

Transportation Research Record

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In the last decade, the application of image-based evaluation of particle shape, angularity and texture has been widely researched to characterize aggregate morphology. These efforts have been driven by the knowledge that the morphologic characteristics affect the properties and ultimate performance of aggregate mixtures in hot-mixed asphalt, hydraulic cement concrete and bound and unbound pavement layers, yet the lack of rapid, objective, and quantitative methods for assessment have inhibited their application in the engineering process. Developed systems for computer-based imaging and image analysis can cost up to $30-40,000 and are usually not portable to the field. However, recent advances in technology have produced pocket computers having as much processing power as was available in some desktop computers. This project takes advantage of these advances to develop an inexpensive portable image analysis system for characterizing aggregate morphology. The system was developed with an integral pocket computer-high resolution camera but can also use individual components consisting of a digital camera and lap-or desk-top computer.Digital images of aggregate particles are captured with the camera. These images are analyzed within the Matlab software program environment with a macro developed and written for this project that uses Fast Fourier Transform to characterize the particle morphology with respect to three parameters: shape, angularity and texture, based on the particle perimeter (outline or edge). By analyzing a number of particles from a source, it can be characterized with respect to these three parameters.Following development of the analysis program, 10 coarse aggregates from various Virginia sources were analyzed. Particles of each aggregate were randomly chosen so that each group contained the various shapes and textures representative of the source. Three images of each particle were obtained at distances of 2, 3, and 10 in to evaluate the resolution needed for adequate analysis. The reliability of the image processing was assessed by statistically analyzing the shape, angularity, and texture values to determine how the threshold parameter affects the particle edge acquisition. Asymptotic analysis was performed to determine the number of images needed to obtain a statistically stable value for each aggregate parameter.It was determined that images acquired at close range (2 or 3 in) were needed to provide sufficient resolution to adequately characterize the aggregate. It was also found that statistically valid values for aggregate shape, angularity, and texture can be obtained from fifteen particle images of random orientation. It can be concluded that the system can be successfully used to characterize coarse aggregate morphology.It is recommended that the Virginia Department of Transportation's Materials Division begin collecting images of aggregates used statewide and collaborate with the VTRC to perform the characterizations and build the database of aggregate morphologic characteristi...

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Section: Discussionmentioning

confidence: 99%

Section: Development Of the Aggregate Morphological Analysis Methodsmentioning

confidence: 99%

Portable Image Analysis System for Characterizing Aggregate Morphology

Wang

Lane

et al. 2009

Transportation Research Record

Self Cite

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“…Many research studies have been conducted on the influence of aggregate properties on the engineering performance of hot mix asphalt, such as rutting, moisture damage, volumetric parameters, pavement surface properties and mechanical performance, etc. [3][4][5][6][7][8][9][10] Some studies has been conducted toward mix design, performance evaluation and predictive model, the long performance of recycled pavement as well as benefits analysis [11][12][13][14]. Cross presented the aggregates properties of RAP, while the relationship between RAP aggregates properties and the performance of cold recycled mixes was not provided [15].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of RAP Aggregate Properties on the Performance of Asphalt Emulsion Cold Recycled Mixes

Yan¹,

Gao²,

Zhu³

et al. 2017

dtetr

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Nowadays, asphalt emulsion cold recycled mixes has been used as binder course in the maintenance and rehabilitation projects of deteriorated asphalt pavements in Jiangsu province, China. The objective of this research was to conduct sensitivity analysis of RAP aggregate properties on the performance of cold recycling mixes based on five asphalt emulsion cold in-place recycling (CIR) projects in Jiangsu Province, China. Firstly, the aggregate properties of five RAP materials, such as sand equivalent, the percentage of flat and elongated particles, angularity and crushing value, were tested from the recovered RAP aggregates. Secondly, the properties of cold recycled mixes were evaluated based on Marshall tests and the indirect tensile strength tests with the same content of asphalt emulsion and cement under similar test conditions. Finally, the linear analysis and pseudo-inverse matrix method was performed to study the correlativity analysis between RAP aggregate properties and the performance of cold recycled mixes. The test results showed that different RAP material has a remarkable influence on the mixes performance. The results indicated that there was not good linear correlation relationship between RAP aggregates characteristics and the performance of recycled mixes, while the pseudo-inverse matrix method showed that the sensitive factors of four indexes of RAP aggregate properties on the performance of asphalt emulsion cold recycled mixes had the same primary and secondary impaction.

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“…For the detailed shape information, a mathematical method, called Fourier analysis, was applied on the digital images. By this method, surface texture can be quantitatively assessed (Wettimuny and Penumadu, 2004;Wang et al 2005;Hu and Stroeven, 2006). More recently, real 3D shape imaging and analysis was attempted on the basis of improvement of optical and computer technology.…”

Section: Introductionmentioning

confidence: 99%

“…It allows imaging and analyzing tens of thousands of particles per minute with a suitable equipment and software. Furthermore, most previous studies focus on characterization of coarse aggregate (from several millimeters to several centimeters) due to the limitations of equipment and software (Kuo et al, 1996;Kwan et al, 1999;Prowell and Weingart, 1999;Garboczi, 2002;Lanaro and Tolppanen, 2002;Maerz, 2004;Wettimuny and Penumadu, 2004;Lin and Miller, 2005;Wang et al 2005;Garboczi et al, 2006;Hu and Stroeven, 2006;Tayor et al, 2006;Latham et al, 2008;He, 2010). Only recent comprehensive X-ray tomography methods go into details of the size level below 1 millimeter or even in the cement-size level (Garboczi and Bullard, 2004;Holzer et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Shape Analysis of Fine Aggregates Used for Concrete

Courard

Pirard

et al. 2016

Image Anal Stereol

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Fine aggregate is one of the essential components in concrete and significantly influences the material properties. As parts of natures, physical characteristics of fine aggregate are highly relevant to its behaviors in concrete. The most of previous studies are mainly focused on the physical properties of coarse aggregate due to the equipment limitations. In this paper, two typical fine aggregates, i.e., river sand and crushed rock, are selected for shape characterization. The new developed digital image analysis systems are employed as the main approaches for the purpose. Some other technical methods, e.g., sieve test, laser diffraction method are also used for the comparable references. Shape characteristics of fine aggregates with different origins but in similar size ranges are revealed by this study. Compared with coarse aggregate, fine grains of different origins generally have similar shape differences. These differences are more significant in surface texture properties, which can be easily identified by an advanced shape parameter: bluntness. The new image analysis method is then approved to be efficient for the shape characterization of fine aggregate in concrete.

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Unified Method to Quantify Aggregate Shape Angularity and Texture Using Fourier Analysis

Cited by 130 publications

References 10 publications

Portable Image Analysis System for Characterizing Aggregate Morphology

Portable Image Analysis System for Characterizing Aggregate Morphology

Sensitivity Analysis of RAP Aggregate Properties on the Performance of Asphalt Emulsion Cold Recycled Mixes

Shape Analysis of Fine Aggregates Used for Concrete

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