Study on Coarse Aggregate Gradation Analysis of Cement Treated Base Course Based on Core Sample Image

Article Preview

Abstract:

In order to get the coarse aggregate particle gradation of cement treated base course core sample dilled form the pavement, an image acquisition system is designed. The system mainly contains an Aviiva ® M2 CL line scan camera, a core sample rotation platform and a LED light source. The software are designed and implemented by using the Matrox Mil controls in the Visual Studio VB.NET. Test results show that when the camera exposure time is set to 800μs, good quality image of core sample can be obtained. In the study, the original core sample images of cement treated aggregate were improved by rescaling of each pixel, then were binarized by using adaptive threshold method. After getting the binary image, morphological operations were carried out to deal with the conglutinations of the particles. Next, characteristics of each particle, such as area, perimeter, fitting ellipse and minFeret were extracted to calculate the area passing rate of aggregate with different size. Results shows that, in this way, the gradation of coarse aggregate (>2.36mm) can be got and the method helps to get the coarse aggregate particle distribution of cement treated aggregate core sample quickly.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

445-449

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Paige-Green P. Strength and behavior of materials for low-volume roads as affected by moisture and density,. Transport Res Rec 2003; 1819: 104–109.

DOI: 10.3141/1819b-14

Google Scholar

[2] Xuan DX. Literature review of research project: Structural properties of cement treated materials. The Netherlands: Section Road and Railway Engineering, Delf University of Technology; 2009. Report No.: 7-09-217-1.

Google Scholar

[3] Davis KA, Warr LS, Burns SE, Hoppe EJ. Physical and chemical behavior of four cement-treated aggregates. J Mater Civil Eng 2007; 19: 891-7.

DOI: 10.1061/(asce)0899-1561(2007)19:10(891)

Google Scholar

[4] Hyoungkwan Kim. Automation of aggregate characterization using laser profiling and digital image analysis. UMI. 2002:. 64(2): 854-861.

Google Scholar

[5] Y. Peng, L.J. Sun, R.K. Dong. Discussion about new method for evaluating homogeneity of hot mix asphalt. J Tongji University 2005; 173: 166-168.

Google Scholar

[6] T. Lovas, I. Kertész, I. Fi &A. Barsi. Photogrammetric pavement detection system. Proceedings of the 6th Rilem International Conference on Cracking in Pavements. Chichgo 2008; pp.873-879.

DOI: 10.1201/9780203882191.ch85

Google Scholar

[7] John C. Russ, The Image Processing Handbook, 6th ed. Boca Raton: CRC Press; (2011).

Google Scholar