Assessing Rutting Potential of Stone Mastic Asphalt Using Wheel Tracker and Dynamic Modulus Testing

Authors

  • Imran Hafeez Dept of Civil Engineering, University of Engineering & Technology, Khanpur Road, Taxila, 47050, Pakistan
  • Mumtaz Ahmad Kamal Dept of Civil Engineering, University of Engineering & Technology, Khanpur Road, Taxila, 47050, Pakistan
  • Muhammad Waseem Mirza Parson, Building 4, C Ring Road, Al Emadi Financial Square area, Doha, Qatar

DOI:

https://doi.org/10.3846/bjrbe.2014.39

Keywords:

pavement, stone mastic asphalt, rut potential, aggregate, regression model, wheel tracking test

Abstract

Rutting potential of stone mastic asphalt with varying aggregate gradations was assessed in the past mainly by uniaxial compression testing which is not the only test to predict its true performance in the field. Dynamic testing and accelerated wheel tracking test are considered the most suitable laboratory test procedures. Four stone mastic asphalt mixtures were prepared in this study using PG 58-22 binder, Viatop plus CT-40 fiber and four aggregate gradations with nominal maximum sizes of 9.5 mm, 12 mm, 19 mm and 25.4 mm. To access the effects of aggregate gradations, single type of bitumen, filler and fiber was used. Mixtures were tested and evaluated under both type of testing procedures at different temperature levels. A regression model was developed using wheel tracker test data to ascertain significant parameters that are directly influencing the rut depth. The statistics of the model shows an excellent degree of determinacy of 0.92 and a relative accuracy of 0.29. Sigmoidal functions using Witczak equations were determined from dynamic modulus master curves for characterization of mixes and compared with previous studies. Correlation between the wheel tracking factor and a dynamic modulus factor was also established at three frequency levels. The study reveals that a reasonable relationship exists between the wheel tracking factor and dynamic modulus factor for stone mastic asphalt mixtures.

References

Apeagyei, A. 2011. Rutting as a Function of Dynamic Modulus and Gradation, Journal of Materials in Civil Engineering 23(9): 1302–1310. http://dx.doi.org/10.1061/(ASCE)MT.1943-5533.0000309

Bahia, H. U.; Anderson, D. A. 1995. The New Proposed Rheological Properties of Asphalt Binders: Why are they Required and How Do they Compare to Conventional Properties. Reports No. STP 1241. 27 p.

Brown, E. R.; Haddock, J. E.; Mallick, R. B.; Lynn, T. A. 1997. Development of a Mixture Design Procedure for Stone Matrix Asphalt (SMA). NCAT Report No. 97–3. 34 p.

Flintsch, G.; Loulizi, A.; Mcghee, K. 2006. Determination of the in-Place Hot-Mix Asphalt Layer Modulus for Rehabilitation Projects Using a Mechanistic-Empirical Procedure. Report No. FHWA/VTRC 07-CR1, Virginia Transportation Research Council, Charlottesville, Virginia.

Gao, L.; Ni, F.; Charmot, S.; Luo, H. 2014. Influence on Compaction of Cold Recycled Mixes with Emulsions Using the Superpave Gyratory Compaction, Journal of Materials in Civil Engineering 26(11): 04014081. http://dx.doi.org/10.1061/(ASCE)MT.1943-5533.0000987

Goh, S.; You, Z.; Williams, R.; Li, X. 2011. Preliminary Dynamic Modulus Criteria of HMA for Field Rutting of Asphalt Pavements: Michigan’s Experience, Journal of Transportation Engineering 137(1): 37–45. http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000191

Greer, G. 2006. Stone Mastic Asphalt – a Review of Its Noise Reducing and Early Life Reducing Properties, in Proc. of ACOUSTICS 2006. November 20–22, 2006, Christchurch, New Zealand. 319–323.

Hafeez, I.; Kamal, M. A.; Mirza, M. W. 2014. An Experimental Study to Select Aggregate Gradation of Stone Mastic Asphalt, Journal of Chinese Institute of Engineer. http://dx.doi.org/10.1080/02533839.2014.953242

Hafeez, I.; Hussain, J.; Riaz, K.; Khitab, A.; Hussain, S.; Zaidi, B.; Farooqi, U.; Hayat, A.; Ahmed, I.; Asif, A. 2013. Influence of Time and Temperature on Asphalt Binders Rheological Properties, Life Sciences Journal 10(12s): 894–898.

Hafeez, I.; Kamal, M. A.; Ali, G. 2009. Assessment to Resistance to Rutting of Asphalted Material Using a Wheel Tracker, Journal of Engineering and Applied Sciences 28(2): 53–60.

Haritonovs, V.; Zaumanis, M.; Brencis, G.; Smirnovs, J. 2013. Performance of Asphalt Concrete with Dolomite Sand Waste and Bof Steel Slag Aggregate, The Baltic Journal of Road and Bridge Engineering 8(2): 91–97. http://dx.doi.org/10.3846/bjrbe.2013.12

Harris, B. M.; Stuart, K. D. 1995. Analysis of Mineral Fillers and Mastics Used in Stone Matrix Asphalt, Journal of the Association of Asphalt Paving Technologists 64: 54–95.

Kim, H.; Partl, M. N. 2009. Stiffness Comparison of Mastics Asphalt in Different Tests Modes, in 2nd Workshop on Four Point Bending. University of Minho.

Masad, E. 2004. X-Ray Computed Tomography of Aggregates and Asphalt Mixes, Journal of Materials Evaluations 62(7): 775–783.

Muniandy, R.; Huat, B. K. 2005. Laboratory Diametral Fatigue Performance of Stone Matrix Asphalt with Cellulose Oil Palm Fiber, American Journal of Applied Sciences 3(9): 2005–2010.

Prowell, B. D.; Cooley, Jr L. A.; Schreck, R. J. 2002. Virginia’s Experience with 9.5-mm Nominal-Maximum-Aggregate-Size Stone Matrix Asphalt, Transportation Research Record 1813: 133–141. http://dx.doi.org/10.3141/1813-16

Pouget, S.; Sauzéat, C.; Benedetto, H. Di.; Olard, F. 2014. Calculation of Viscous Energy Dissipation in Asphalt Pavements, The Baltic Journal of Road and Bridge Engineering 9(2): 123–130. http://dx.doi.org/10.3846/bjrbe.2014.16

Retherford, J.; McDonald, M. 2013. Permanent Deformation Predictive Equations Applicable to Mechanistic-Empirical Flexible Pavement Design, Journal of Transportation Engineering 139(12): 1156–1163. http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000588

Rowe, G. M.; Khoee, S. H.; Blankenship, P.; Mahboub, K. C. 2009. Evaluation of Aspects of E* Test by Using Hot-Mix Asphalt Specimens with Varying Void contents, Transportation Research Record 2127: 164–172. http://dx.doi.org/10.3141/2127-19

Schwartz, C. W.; Michael, L.; Burke, G. 2003. Performance of Stone Matrix Asphalt Pavements in Maryland, Journal of the Association of Asphalt Paving Technologists 72: 287–314.

Seo, Y.; El-Haggan, O.; King, M.; Jon Lee, S. J.; Kim, Y. R. P. E. 2007. Air Voids Models for the Dynamic Modulus, Fatigue Cracking, and Rutting of Asphalt Concrete, Journal of Materials in Civil Engineering 19(10): 874–883. http://dx.doi.org/10.1061/(ASCE)0899-1561(2007)19:10(874)

Sivilevičius, H. 2011. Modelling the Interacion of Transport System Elements, Transport 26(1): 20–34. http://dx.doi.org/10.3846/16484142.2011.560366

Su, K.; Sun, L.-J.; Hachiya, Y. 2008. A New Model for Predicting Rutting in Asphalt Pavement Employing Static Unaxial Penetration Test, International Journal of Pavement Research Technology 1(1): 24–33.

Tapkin, S.; Ozcan, S. 2012. Determination of the Optimal Polypropylene Fiber Addition to the Dense Bituminous Mixtures by the Aid of Mechanical and Optical Means, The Baltic Journal of Road and Bridge Engineering 7(1): 22–29. http://dx.doi.org/10.3846/bjrbe.2012.03

Watson, D. E.; Masad, E.; Moore, K. A.; Williams, K.; Cooley, L. A. 2004. Verification of VCA Testing to Determine Stone-on-Stone Contact of HMA Mixtures, Transportation Research Record 1891: 182–190. http://dx.doi.org/10.3141/1891-21

Watson, D. E. 2003. Updated Review of Stone Matrix Asphalt and Superpave Projects, Transportation Research Record 1832: 217–223. http://dx.doi.org/10.3141/1832-26

Xie, H.; Watson, D. E. 2004. Determining Air Voids Content of Compacted Stone Matrix Asphalt Mixtures, Transportation Research Record 1891: 203–211. http://dx.doi.org/10.3141/1891-24

Zhao, Y.; Liu, H.; Bai, L.; Tan, Y. 2013. Characterization of Linear Viscoelastic Behavior of Asphalt Concrete Using Complex Modulus Model, Journal of Materials in Civil Engineers 25(10): 1543–1548. http://dx.doi.org/10.1061/(ASCE)MT.1943-5533.0000688

Downloads

Published

27.12.2014

How to Cite

Hafeez, I., Kamal, M. A., & Mirza, M. W. (2014). Assessing Rutting Potential of Stone Mastic Asphalt Using Wheel Tracker and Dynamic Modulus Testing. The Baltic Journal of Road and Bridge Engineering, 9(4), 325-332. https://doi.org/10.3846/bjrbe.2014.39