Estimation of Asphalt Pavement Surfaces Using Image Analysis Technique
Commenced in January 2007
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Edition: International
Paper Count: 33093
Estimation of Asphalt Pavement Surfaces Using Image Analysis Technique

Authors: Mohammad A. Khasawneh

Abstract:

Asphalt concrete pavements gradually lose their skid resistance causing safety problems especially under wet conditions and high driving speeds. In order to enact the actual field polishing and wearing process of asphalt pavement surfaces in a laboratory setting, several laboratory-scale accelerated polishing devices were developed by different agencies. To mimic the actual process, friction and texture measuring devices are needed to quantify surface deterioration at different polishing intervals that reflect different stages of the pavement life. The test could still be considered lengthy and to some extent labor-intensive. Therefore, there is a need to come up with another method that can assist in investigating the bituminous pavement surface characteristics in a practical and time-efficient test procedure.

The purpose of this paper is to utilize a well-developed image analysis technique to characterize asphalt pavement surfaces without the need to use conventional friction and texture measuring devices in an attempt to shorten and simplify the polishing procedure in the lab.

Promising findings showed the possibility of using image analysis in lieu of the labor-sensitive-variable-in-nature friction and texture measurements. It was found that the exposed aggregate surface area of asphalt specimens made from limestone and gravel aggregates produced solid evidence of the validity of this method in describing asphalt pavement surfaces. Image analysis results correlated well with the British Pendulum Numbers (BPN), Polish Values (PV) and Mean Texture Depth (MTD) values.

Keywords: Friction, Image Analysis, Polishing, Statistical Analysis, Texture.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1092892

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References:


[1] Davis, R. M. (2001) "Comparison of Surface Characteristics of Hot-Mix Asphalt Pavement Surfaces at the Virginia Smart Road” Virginia Polytechnic Institute and State University, MSc Thesis, 235p.
[2] Do, M. T., and Marsac, P. (2002) "Assessment of the Polishing of the Aggregate Microtexture by Means of Geometric Parameters” CD-ROM, Transportation Research Board, National Research Council, Washington, D.C., 19p.
[3] McDaniel, R. S., and Coree, B. J. (2003) "Identification of Laboratory Techniques to Optimize Superpave HMA Surface Friction Characteristics” Final Report (SQDH 2003 – 6 HL 2003 – 19)
[4] Luo, Y. (2003) "Effect of Pavement Temperature on Frictional Properties of Hot-Mix-Asphalt Pavement Surfaces at the Virginia Smart Road” Virginia Polytechnic Institute and State University, MSc Thesis, 183p.
[5] Flintsch, G. W., Leon, E. D., McGhee, K. K., and Al-Qadi, L. L. (2003) "Pavement Surface Macrotexture Measurement and Application” CD-ROM, Transportation Research Board, National Research Council, Washington, D.C., 24p.
[6] Hanson, D. I., and Prowell, B. D. (2004) "Evaluation of circular texture meter for measuring surface texture of pavements” NCAT Report 04-05.
[7] Kuttesch, J. S. (2004) "Quantifying the Relationship between Skid Resistance and Wet Weather Accidents for Virginia Data” Virginia Polytechnic Institute and State University, MSc Thesis, 140p.
[8] Wilson, D. J., and Dunn, R. C. M. (2005) "Polishing Aggregate to Equilibrium Skid Resistance” Road and Transport Research, Vol. 14 No. 2, pp. 55-71.
[9] Goodman, S. N., Hassan, Y., and Abd El Halim, A. O. (2006) "Preliminary Estimation of Asphalt Pavement Frictional Properties from Superpave Gyratory Specimens and Mix Parameters” CD-ROM, Transportation Research Board, National Research Council, Washington, D.C., 14p.
[10] Khasawneh, M. A. The development and verification of a new accelerated polishing machine. Ph.D. dissertation, University of Akron, Akron, Ohio, 2008.
[11] Kim, H., Soleymani, H., Han, S. H., and Nam, H. Evaluation of Asphalt Pavement Crack Sealing Performance using Image Processing Technique. ISARC, 2006.
[12] Tutumluer, E., Rao, C., and Stefanski, J. A. Video Image Analysis of Aggregates. Project Report. UILU-ENG-2000-2015. Federal Highway Administration. Illinois Department of Transportation. 2000.
[13] Al-Rousan, T., Masad, E., Tutumluer, E., and Pan, T. Evaluation of image analysis techniques for quantifying aggregateshape characteristics. Construction and Building Materials 21 (2007) 978–990. 2007.
[14] Janaka, G. H., Kurma, J., Hayano, K., and Ogiwara, K. Image Analysis Techniques on Evaluation of Particle Size Distribution ofGravel. Int. J. of GEOMATE, Sept., 2012, Vol. 3, No. 1 (Sl. No. 5), pp. 290-297. Geotec., Const. Mat. &Env., ISSN:2186-2982(P), 2186-2990(O), Japan. 2012.
[15] Liang, R. L., M. A. Khasawneh, and M. Taamneh. Accelerated Laboratory Polishing Device for Hot Mix Asphalt. In GeoShanghai international conference, 2010.
[16] American Society for Testing and Materials "Measuring Surface Friction Properties Using the British Pendulum Tester” ASTM Standard Test Method E-303-93 (2003), Book of ASTM Standards, Volume 04.03, Philadelphia, PA, 2005.
[17] American Society for Testing and Materials "Measuring Pavement Macrotexture Depth Using a Volumetric Technique” ASTM Standard Test Method E-965-96(2001), Book of ASTM Standards, Volume 04.03, Philadelphia, PA, 2005.
[18] Liang, R.Y., and Chyi, L. L. (2000) "Polishing and Friction Characteristics of aggregates Produced in Ohio” Final Report of ODOT Project No. FHWA/OH- 2000/001, Ohio Department of Transportation.