Modeling Asphalt Mixture Cohesion and Internal Friction Angle Using Marshall Parameters

Document Type : Research Paper

Authors

1 Professor, Asphalt Mixtures and Bitumen Research Center of Iran University of Science and Technology, Tehran, I. R. Iran.

2 Department of Civil Engineering, Nowshahr Branch, Islamic Azad University, Nowshahr, I. R. Iran.

3 Graduated M.Sc., Road and Transportation Engineering, Department of Civil Engineering, Payam-e-Noor University, Assaloyeh International Center, I. R. Iran.

Abstract

National road network constitutes a major part of each country's wealth and huge investments are spent in this sector annually on pavement maintenance, repair and rehabilitation. One of the most widespread damages in flexible pavements is rutting, which is due to weakness in shear resistence of the asphalt mixture. The best approach to prevent such malicious phenomenon is to use mixtures in which the amount of effective parameters in shear resistence of the asphalt is controlled. Cohesion (C) and internal friction angle (f) of the asphalt are the final determinants of pavement shear resistence. The best way to determine C and f in asphalt is to perform triaxial test on asphalt samples. But, for some reasons, such as high costs to perform this test, as well as the lack of triaxial­­ test equipment in the country, performing this test is virtually impossible. On the other hand, Marshal equipment is readily available in the most remote workshops and it is being used extensively in Iran. Therefore, in this research, it was tried to find some relationships between C and f in asphalt with Marshall parameters. The obtained relationships showed that there is proper relation between asphalt shear stress parameters and Marshall stability and flow. By using these relationships, concurrent with presentation of the mixing design in the laboratory and before mass production of the asphalt, the limits of C and f are determined, too. Therefore, mass production of the asphalt with high rutting potential could be prevented.

Keywords

References

Airey, D. and Prathapa, R. 2013. “Triaxial Testing of Asphalt”. 18th International Conference on Soil Mechanics and Geotechnical Engineering, Paris, pp. 301-307.
Fan, S. H. and Lin, L. 2011. ­“­Investigations and countermeasures analysis of rutting in highway asphalt concrete pavements­”. Adv. Civ. Eng., 255-260: 3263-3267.
Fwa, T. F. and Tan, S. A. 2005. “C-f characterization model for design of asphalt mixtures and asphalt pavements”. J. ASTM Int., 2(3), DOI: 10.1520/JAI12262.
Fwa, T. F., Tan, S. A. and Zhu, L. Y. 2001. “Reexamining C-f concept for asphalt paving mix design”. J. Transport. Eng., 127(1).
Fwa, T. F., Tan., S.A. and Zhu, L. Y. 2004. “Rutting prediction of asphalt pavement layer using C-f model”. J. Transport. Eng., 130(5).
Jenkins, K. J. and Ebels, L. J. 2008. “Determination of Triaxial Shear Parameters Using Simple Triaxial Test”. Stellenbosch, South Africa.
Low, B. H., Tan, S. A. and Fwa, T. F. 1993. “Analysis of Marshall Test behavior with triaxial test determined material properties”. ASTM Int., 21(3): 192-198.
Report. NCHRP 465, “Triaxial Shear Strength Specimens”.
Tan, S. A., Low, B. H. and Fwa, T. H. 1994. “Behavior of asphalt concrete mixtures in triaxial compression”. ASTM Int., 22(3): 195-203.
 Texas Department of Transport, 2013. “Triaxial Comperssion for Disturbed Soils and Base Materials”. August.
 Wang, L., Meng, X., Pan, L. and Zhang, J. 2013. “The triaxial test research of asphalt-rubber mixture”. Adv. Mater. Res., 598: 603-607.
 Zaniewski, J. P. and Srinivasan, G. 2004. “Evaluation of Indirect Tensile Strength to Identify Asphalt Concrete Rutting Potential”. Asphalt Technology Program, Department of Civil and Environmental Engineering, West Virginia University, Morgantown, West Virginia. 
 Ziari, H. and Divandari, H. 2013. “Presenting asphalt mixtures flow number prediction model using gyratory curves”. Int. J. Civ. Eng., 11(2): 125-133.
Journal of Transportation Infrastructure Engineering
Volume 3, Issue 3
December 2017
Pages 37-54

Files

History

  • Receive Date: 24 September 2016
  • Revise Date: 04 December 2017
  • Accept Date: 30 July 2017

Share

How to cite

Statistics