Application of Imaging Techniques to Geometry Analysis of Aggregate Particles

Chandan, C.; Sivakumar, K.; Masad, Eyad; Fletcher, Thomas

doi:10.1061/(asce)0887-3801(2004)18:1(75)

Cited by 96 publications

(14 citation statements)

References 8 publications

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“…However, the current testing methods are empirical and time-consuming in assessing the angularity of coarse aggregate. The development of computer science has motivated the application of cutting-edge methods such as digital image processing in the engineering field [5]. Various devices and measuring methods were successfully developed for the morphological characteristic of aggregates based on the digital image processing technology, such as the computer programs of Particles Analysis (CPA) [6], Aggregate Image Analyzer (UIAIA) [7], Aggregate Imaging System (AIMS) [8], and Fourier Transform Interferometry (FTI) system [9].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Morphological Characteristic of Coarse Aggregates Measured with Fractal Dimension on Asphalt Mixture’s High-Temperature Performance

Wang

et al. 2016

Advances in Materials Science and Engineering

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The morphological properties of coarse aggregates, such as shape, angularity, and surface texture, have a great influence on the mechanical performance of asphalt mixtures. This study aims to investigate the effect of coarse aggregate morphological properties on the high-temperature performance of asphalt mixtures. A modified Los Angeles (LA) abrasion test was employed to produce aggregates with various morphological properties by applying abrasion cycles of 0, 200, 400, 600, 800, 1000, and 1200 on crushed angular aggregates. Based on a laboratory-developed Morphology Analysis System for Coarse Aggregates (MASCA), the morphological properties of the coarse aggregate particles were quantified using the index of fractal dimension. The hightemperature performances of the dense-graded asphalt mixture (AC-16), gap-graded stone asphalt mixture (SAC-16), and stone mastic asphalt (SMA-16) mixtures containing aggregates with different fractal dimensions were evaluated through the dynamic stability (DS) test and the penetration shear test in laboratory. Good linear correlations between the fractal dimension and hightemperature indexes were obtained for all three types of mixtures. Moreover, the results also indicated that higher coarse aggregate angularity leads to stronger high-temperature shear resistance of asphalt mixtures.

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Section: Introductionmentioning

confidence: 99%

The Effect of Morphological Characteristic of Coarse Aggregates Measured with Fractal Dimension on Asphalt Mixture’s High-Temperature Performance

Wang

et al. 2016

Advances in Materials Science and Engineering

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“…So the extractive procedure was time-consuming and harmful. In recent years, digital image processing (DIP) techniques had been used to analyze the characteristics of aggregate [8,9]. Mora et al [10] evaluated the gradation of coarse aggregate with the projected images.…”

Section: Introductionmentioning

confidence: 99%

Stereological estimation of aggregate gradation using digital image of asphalt mixture

Guo

Bian

et al. 2015

Construction and Building Materials

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“…This technique has been largely used in civil engineering fields, e.g. geotechnical analysis of aggregate particles [11,12], automatic road surface detection [13], etc. Recently, applications of imaging analysis into assessing building cleaning have been reported [14,15].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Efficiency of Air Abrasive Cleaning on Masonry Stones and Bricks Using Greyscale Imaging Analysis

Reza¹,

Zhang²,

Gupta³

2015

Second International Conference on Advances in Civil, Structural and Construction Engineering - CSCE 2015

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Advanced greyscale imaging analysis was conducted using Adobe Photoshop 6 on the surfaces of masonry stones and clay bricks, taken from old buildings, to accurately assess the efficiency of building cleaning. Five commonly used masonry stones and clay bricks for those buildings were selected, and seven abrasives were adopted for air abrasive (sandblasting) cleaning. Also the reductions in thickness were continuously monitored for assessing the cleaning efficiency. The cleaning degree at different stages was assessed using greyscale image photos, converted from original colour ones, together with reductions in thickness. In general, greyscale continuously increased with the cleaning time and tended to be stable when the surface became fully cleaned. Thickness reduction monotonically increased with the cleaning time. The most efficient building cleaning case would be the one with the shortest cleaning time and smallest thickness reduction. The harder abrasives with smaller particles sizes were confirmed to be more effective.

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Application of Imaging Techniques to Geometry Analysis of Aggregate Particles

Cited by 96 publications

References 8 publications

The Effect of Morphological Characteristic of Coarse Aggregates Measured with Fractal Dimension on Asphalt Mixture’s High-Temperature Performance

The Effect of Morphological Characteristic of Coarse Aggregates Measured with Fractal Dimension on Asphalt Mixture’s High-Temperature Performance

Stereological estimation of aggregate gradation using digital image of asphalt mixture

Assessment of Efficiency of Air Abrasive Cleaning on Masonry Stones and Bricks Using Greyscale Imaging Analysis

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