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Appl. Sci. 2017, 7(7), 734; doi:10.3390/app7070734

Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed Tomography

College of Civil and Transportation Engineering, South China University of Technology, Wushan Road, Guangzhou 510641, China
Department of Civil and Environmental Engineering, Michigan State University, 3554 Engineering Blvd., East Lansing, MI 48824, USA
Author to whom correspondence should be addressed.
Academic Editor: Feipeng Xiao
Received: 30 June 2017 / Revised: 11 July 2017 / Accepted: 12 July 2017 / Published: 18 July 2017
(This article belongs to the Special Issue Advanced Asphalt Materials and Paving Technologies)
View Full-Text   |   Download PDF [3610 KB, uploaded 18 July 2017]   |  


In order to perform three-dimensional digital sieving based on X-ray computed tomography images, the definition of digital sieve size (DSS) was proposed, which was defined as the minimum length of the minimum bounding squares of all possible orthographic projections of an aggregate. The corresponding program was developed to reconstruct aggregate structure and to obtain DSS. Laboratory experiments consisting of epoxy-filled aggregate specimens were conducted to investigate the difference between mechanical sieve analysis and the digital sieving technique. It was suggested that concave surface of aggregate was the possible reason for the disparity between DSS and mechanical sieve size. A comparison between DSS and equivalent diameter was also performed. Moreover, the digital sieving technique was adopted to evaluate the gradation of stone mastic asphalt mixtures. The results showed that the closest proximity of the laboratory gradation curve was achieved by calibrated DSS, among gradation curves based on calibrated DSS, un-calibrated DSS and equivalent diameter. View Full-Text
Keywords: asphalt mixture; aggregate gradation; sieve analysis; image processing; X-ray computed tomography asphalt mixture; aggregate gradation; sieve analysis; image processing; X-ray computed tomography

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hu, C.; Ma, J.; Kutay, M.E. Three Dimensional Digital Sieving of Asphalt Mixture Based on X-ray Computed Tomography. Appl. Sci. 2017, 7, 734.

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