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Title QUANTIFICATION OF COARSE AGGREGATE ANGULARITY BASED ON IMAGE ANALYSIS
Accession No 00930587
Authors Rao, C; Tutumluer, E; Kim, I T
Journal Title Transportation Research Record information No. 1787
Corp. Authors
/ Publisher
Transportation Research Board information
Publication Date   20020000
Description p. 117-124; Figures(8); References(11); Tables(2)
Languages English
Abstract Aggregate angularity affects the shear strength properties of asphalt concrete and granular base layers in pavements. It also improves aggregate interlock and load transfer properties of jointed concrete pavements. The development of a quantifiable index based on image analysis to characterize the angularity of coarse aggregate used in pavement layers is described. The new angularity index (AI) was developed as part of the University of Illinois Aggregate Image Analyzer, and the procedure was calibrated for two aggregate samples, rounded gravel and crushed stone, which possess the two extremes of particle angularity. A statistical study demonstrated that the AI computation technique is not only able to distinguish crushed stone from gravel but also is robust enough to give similar AI values regardless of the particle size and orientation. Furthermore, the crushed stone and gravel samples together with a 50-50 blend of the two samples by weight were tested for shear strength under triaxial loading conditions. The AI value computed for these samples could be correlated to the angle of internal friction and thus the shear strength properties of the samples. The AI distributions of representative aggregate samples from Illinois, crushed gravel, limestone, and dolomite, were also computed. The newly developed index has also demonstrated the capability to distinguish between crushed stone and crushed gravel samples. With this AI value as a measure of aggregate angularity, pavement engineers can objectively quantify the influence of aggregate angularity on asphalt concrete, portland cement concrete, and granular mix performance and thereby establish meaningful criteria relating aggregate properties to performance indicators.
Supplemental
Information
This paper appears in Transportation Research Record No. 1787, Geomaterials 2002.
TRT Terms Angularity information; Coarse aggregates information; Coefficient of internal friction information; Correlation analysis information; Crushed limestone information; Gravel information; Image processing information; Shear strength information; Triaxial shear tests information
Other Terms Angle of internal friction; Angularity index; Crushed gravel; Crushed stone
Subject Areas H35 MINERAL AGGREGATES; I36 Aggregates
ISBN 0309077125
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TRIS is a bibliographic database funded by sponsors of the Transportation Research Board (TRB), primarily the state departments of transportation and selected federal transportation agencies. TRIS Online is hosted by the National Transportation Library under a cooperative agreement between the Bureau of Transportation Statistics and TRB.
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