Evaluation and Measurement Method for Texture Depth of Exposed-Aggregate Cement Concrete Pavement Surface Based on Digital Imaging Technique

Article Preview

Abstract:

In order to study the surface characteristics of exposed-aggregate cement concrete pavement, the measurement mechanism of surface texture depth was analyzed by using digital image technique. Based on the principle of least square and Table curve 3D software, two-dimensional digital image of road surface was reconstructed into three-dimensional space surface and a method of evaluating and measuring pavement surface texture depth was put forward. With this method, digital image samples were calculated and the results were compared with the results of conventional measurement method. The results indicate that exposed-aggregate cement concrete pavement has excellent road characteristics; there is a good correlation between the digital image technique and the traditional sand patch method and the relative error is less than 7 percent. Thus, the digital image technique is feasible in evaluating and measuring pavement surface texture depth.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 460-461)

Pages:

66-70

Citation:

Online since:

January 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Shen jingan: Asphalt, asphalt mixtures and its performance. People Communications Press, Beijing (2001).

Google Scholar

[2] Li Shuang, Li Huanying, Li Qiling: Research on the image analysis of the geometric characteristic parameters of fly ash. Journal of Building Materials, 2001, 4(1): 49-54.

Google Scholar

[3] Kenneth R C: Digital Image Processing. Beijing: publishing house of electronics industry, (2000).

Google Scholar

[4] Masad E. Muhunthan B, Shashidhar N, Harman T.: Internal structure characterization of asphalt concrete using image analysis. Journal of Computing in Civil Engineering(Special Issue on Image Processing)ASCE. 1999, 13 (2): 88-95.

DOI: 10.1061/(asce)0887-3801(1999)13:2(88)

Google Scholar

[5] Rafael C G, Richard E W.: Digital image processing(2nd Edition). New York: Prentice Hal, (2002).

Google Scholar

[6] Button J: Unified imaging approach for measuring aggregate angularity and texture. Journal of Computer Aided Civil and Infrastructure Engineering, 2000, 5(4): 273-280.

DOI: 10.1111/0885-9507.00191

Google Scholar

[7] Demeyere, M., Rurimunzu, D., Eugene, C.: Diameter Measurement of Spherical Objects by Laser Triangulation in an Ambulatory Context. Instrumentation and Measurement, IEEE Transactions on. Volume 56, Issue 3, June 2007 Page(s): 867– 872.

DOI: 10.1109/tim.2007.894884

Google Scholar