A comparative study on the performance of field-sampled asphalt mixtures for heavy-duty pavements using laboratory testing and mechanistic-empirical simulations
Source abstract
Abstract
The demand for durability and resilience in asphalt pavements has led to the progressive implementation of performance-enhancing technologies like bitumen modification using polymers or fibers. This is particularly important in a port environment, where roads are subjected to heavy traffic. The main objective of this study is to contribute to the current state of knowledge on the performance of asphalt mixtures, including polymers and fibers, by conducting a comprehensive laboratory investigation of eight field mixtures, followed by an evaluation of their expected performance in five test sections using the AASHTOWare Pavement ME Design software. The eight mixtures included two lean asphalt mixes to be used as a replacement for granular layers, three base mixtures, and three surface mixtures. Laboratory testing showed that the addition of a blend of 91% polypropylene and 9% glass fibers increased stiffness and resistance to moisture damage. Also, this fiber blend improved cracking resistance when used in a relatively flexible mixture. It was found that top-down cracking predictions followed the trend observed in semicircular bending tests. Conversely, the predicted rutting performance did not align with the rut depth trend in the laboratory. Furthermore, the use of SMA instead of a dense-graded surface layer appeared to increase fatigue cracking in pavement sections with granular bases unless a high-modulus base asphalt layer was used. This study was a first attempt to use advanced pavement performance predictions in Belgium. The data gathered during the future monitoring of the test sections built as part of this study will provide valuable primary data for the local calibration of pavement distress models.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · Transport Systems and Technology
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Construction, University of Antwerp, Antwerp, Belgium
Port of Antwerp-Bruges, Antwerp, Belgium
Funding
Port of Antwerp · Research Fund of the University of Antwerp
References (36)
Show source-provided references
1. AASHTO (1993). AASHTO guide for design of pavement structures, (Vol. 1). American Association of State Highway and Transportation Officials.
2. AASHTO. (2020). Mechanistic-empirical pavement design guide - A manual of practice. American Association of State Highway and Transportation Officials.
3. 10.1016/j.jclepro.2021.12626110.1016/j.jclepro.2021.126261 ↗
4. 10.1177/15589250130080020310.1177/155892501300800203 ↗
5. Al-Bdairi A. Al-Taweel H. M. & Noor H. M. (2020 June). Improving the properties of asphalt mixture using fiber materials. In IOP Conference Series: Materials Science and Engineering (Vol. 870 No. 1 p. 012092). IOP Publishing.10.1088/1757-899X/870/1/012092 ↗
6. 10.3390/polym1314228210.3390/polym13142282 ↗
7. ARA (2001). Guide for mechanistic-empirical design of new and rehabilitated pavement structures – Appendix CC-1. National Cooperative Highway Research Program, Transportation Research Board. Washington, DC.
8. AWV. (2019). Standaardbestek 250 voor de wegenbouw, v4.1 [Standard Specifications 250 for Road Construction, v4.1]. Agentschap Wegen en Verkeer.
9. 10.1177/036119811984128210.1177/0361198119841282 ↗
10. 10.3141/2294-0510.3141/2294-05 ↗
11. De Bruyn J. Jacobs G. Van den bergh W. & Hernando D. (2022). Use of the semicircular bending test to evaluate the cracking potential of non-Superpave asphalt mixtures. 2022 ISAP Symposium Costa Rica October 25-27.
12. 10.1016/j.compositesb.2017.12.01010.1016/j.compositesb.2017.12.010 ↗
13. 10.1016/j.conbuildmat.2018.11.10510.1016/j.conbuildmat.2018.11.105 ↗
14. 10.1016/j.jclepro.2020.12170410.1016/j.jclepro.2020.121704 ↗
15. 10.1080/10298436.2018.150327310.1080/10298436.2018.1503273 ↗
16. 10.1016/j.jclepro.2020.12559610.1016/j.jclepro.2020.125596 ↗
17. 10.1016/j.conbuildmat.2018.02.01410.1016/j.conbuildmat.2018.02.014 ↗
18. Kim, S., Roque, R., & Birgisson, B. (2006). Identification and assessment of the dominant aggregate size range (DASR) of asphalt mixture. Journal of the Association of Asphalt Paving Technologists, 75, 789–814.
19. 10.1016/j.conbuildmat.2018.04.22110.1016/j.conbuildmat.2018.04.221 ↗
20. Lu, X., Said, S., Carlsson, H., Soenen, H., Heyrman, S., & Redelius, P. (2014). Performance evaluation of polymer modified bitumens on a heavily trafficked test road. International Journal of Pavement Research and Technology, 7(6), 381–388.
21. 10.1016/j.measurement.2020.10865810.1016/j.measurement.2020.108658 ↗
22. 10.1016/j.jtte.2017.08.00310.1016/j.jtte.2017.08.003 ↗
23. 10.1016/j.conbuildmat.2022.12917710.1016/j.conbuildmat.2022.129177 ↗
24. 10.1016/j.jtte.2020.12.00710.1016/j.jtte.2020.12.007 ↗
25. Quintus, V., & Hughes, H. L. (2019). Design & Construction of Heavy-Duty Pavements. In Quality Improvement Series QIP-123 (2nd Edition). National Asphalt Pavement Association.
26. 10.1016/j.conbuildmat.2017.03.18410.1016/j.conbuildmat.2017.03.184 ↗
27. van der Heide, J.P.J. (1995). Heavy duty pavements: The arguments for Asphalt. European Asphalt Pavement Association, Breukelen, Netherlands.
28. Verstraeten J. Romain J. E. & Veverka V. (1977). The Belgian Road Research Center's overall approach to asphalt pavement structural design. In Volume I of proceedings of 4th International Conference on Structural Design of Asphalt Pavements Ann Arbor Michigan August 22-26 1977.
29. 10.1016/j.conbuildmat.2020.11869010.1016/j.conbuildmat.2020.118690 ↗
30. 10.1080/14680629.2012.65707710.1080/14680629.2012.657077 ↗
31. 10.1080/14680629.2022.209202210.1080/14680629.2022.2092022 ↗
32. 10.1080/14680629.2020.172776910.1080/14680629.2020.1727769 ↗
33. 10.1080/14680629.2016.126677410.1080/14680629.2016.1266774 ↗
34. 10.1016/j.conbuildmat.2020.12120010.1016/j.conbuildmat.2020.121200 ↗
35. 10.1016/j.jclepro.2020.12144710.1016/j.jclepro.2020.121447 ↗
36. 10.1080/14680629.2021.190570110.1080/14680629.2021.1905701 ↗