Statistical Analysis on Grading Characteristics between Dense and Stone Matrix Asphalt Mixtures
Publication: Journal of Materials in Civil Engineering
Volume 34, Issue 8
Abstract
Gradation information can be really useful when evaluating the performance of pavement, especially when the local climate condition or traffic volume have special requirements on gradations of asphalt pavement. However, due to poor management or long construction time, it may be difficult to accurately acquire the asphalt gradation type on site. To solve this problem, this study aimed to analyze the grading characteristics of both asphalt concrete (AC) and stone matrix asphalt (SMA) mixtures through statistics and to propose a quantitative indicator that could distinguish them rapidly. Methodologically, passing rate difference (PRD) between two adjacent sieve sizes was used to characterize the gradation and to distinguish AC from SMA. Five sieve sizes were considered in this study, namely, 16 mm, 13.2 mm, 9.5 mm, 4.75 mm, and 2.36 mm, and four PRDs were computed and analyzed. A total of 854 sets of gradation data were collected from 437 papers. To study the influence of nominal maximum particle size (NMPS), the data were further categorized into three types, namely, gradation data with NMPS of 16 mm, 13 mm, and regardless of NMPS. As a result, in all cases of NMPS, critical PRDs were determined to distinguish between SMA and AC mixtures. Moreover, when a critical PRD was determined, for a given gradation, the confidence level to correctly identify an AC gradation was generally higher regardless of NMPS.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request, including the data from Figs. 6–9, 11, and 12.
Acknowledgments
The authors gratefully acknowledge the financial supports of the National Natural Science Foundation of China under Grant No. 51861145402.
References
Brown, E. R., and J. E. Haddock. 1997. “Method to ensure stone-on-stone contact in stone matrix asphalt paving mixtures.” Trans. Res. Rec. 1583 (1): 11–18. https://doi.org/10.3141/1583-02.
Brown, E. R., R. B. Mallick, J. E. Haddock, and J. Bukowski. 1997. Performance of stone matrix asphalt (SMA) mixtures in the United States. Auburn, AL: National Center for Asphalt Technology.
Cheng, Y., and Y. Qin. 2019. “Aggregates breakage introduction to optimize gradation of multi-supporting skeleton asphalt mixtures.” Constr. Build. Mater. 200 (Mar): 265–271. https://doi.org/10.1016/j.conbuildmat.2018.12.118.
Fang, M. J., D. Park, J. L. Singuranayo, H. Chen, and Y. G. Li. 2019. “Aggregate gradation theory, design and its impact on asphalt pavement performance: A review.” Int. J. Pavement Eng. 20 (12): 1408–1424. https://doi.org/10.1080/10298436.2018.1430365.
Kandhal, P. S., and R. B. Mallick. 2001. “Effect of mix gradation on rutting potential of dense-graded asphalt mixtures.” Transp. Res. Rec. 1767 (1): 146–151. https://doi.org/10.3141/1767-18.
Kanitpong, K., N. Charoentham, and S. Likitlersuang. 2012. “Investigation on the effects of gradation and aggregate type to moisture damage of warm mix asphalt modified with Sasobit.” Int. J. Pavement Eng. 13 (5): 451–458. https://doi.org/10.1080/10298436.2011.565058.
Kim, S., R. Roque, B. Birgisson, and A. Guarin. 2009. “Porosity of the dominant aggregate size range to evaluate coarse aggregate structure of asphalt mixtures.” J. Mater. Civ. Eng. 21 (1): 32–39. https://doi.org/10.1061/(ASCE)0899-1561(2009)21:1(32).
Leonardi, G. 2016. “Fractal dimension for the characterization of asphalt mixture properties.” Am. J. Appl. Sci. 13 (7): 877–882. https://doi.org/10.3844/ajassp.2016.877.882.
Li, L., Y. Guo, H. Zheng, and L. Cao. 2005. “Study on relationship between gradation and volume parameters of asphalt mixes.” [In Chinese] J. Build. Mater. 8 (6): 625–631.
Mampearachchi, W. K., and P. R. D. Fernando. 2012. “Evaluation of the effect of Superpave aggregate gradations on Marshall mix design parameters of wearing course.” J. Natl. Sci. Found. Sri Lanka 40 (3): 183–194. https://doi.org/10.4038/jnsfsr.v40i3.4692.
Mandelbrot, B. B. 1982. The fractal geometry of nature. New York: WH Freeman.
Meakin, P. 1999. “A historical introduction to computer models for fractal aggregates.” J. Sol-Gel Sci. Technol. 15 (2): 97–117. https://doi.org/10.1023/A:1008731904082.
Nejad, F. M., E. Aflaki, and M. A. Mohammadi. 2010. “Fatigue behavior of SMA and HMA mixtures.” Constr. Build. Mater. 24 (7): 1158–1165. https://doi.org/10.1016/j.conbuildmat.2009.12.025.
Qiu, Y. F., and K. M. Lum. 2006. “Design and performance of stone mastic asphalt.” J. Transp. Eng. 132 (12): 956–963. https://doi.org/10.1061/(ASCE)0733-947X(2006)132:12(956).
Shen, D. H., M. F. Kuo, and J. C. Du. 2005. “Properties of gap-aggregate gradation asphalt mixture and permanent deformation.” Constr. Build. Mater. 19 (2): 147–153. https://doi.org/10.1016/j.conbuildmat.2004.05.005.
Weymouth, C. 1933. “Effects of particle interference in mortars and concretes.” Rock. Prod. 36 (2): 26–31.
White, G., and H. Almutairi. 2020. “Laboratory and field performance comparison of dense graded and stone mastic asphalt as a runway surface.” Int. J. Pavement Eng. https://doi.org/10.1080/10298436.2020.1778695.
Yang, X., Z. You, Z. Wang, and Q. Dai. 2016. “Review on heterogeneous model reconstruction of stone-based composites in numerical simulation.” Constr. Build. Mater. 117 (Aug): 229–243. https://doi.org/10.1016/j.conbuildmat.2016.04.135.
You, Z., S. Adhikari, and Q. Dai. 2008. “Three-dimensional discrete element models for asphalt mixtures.” J. Eng. Mech. 134 (12): 1053–1063. https://doi.org/10.1061/(ASCE)0733-9399(2008)134:12(1053).
Zhang, C., H. Wang, Z. You, and X. Yang. 2016. “Compaction characteristics of asphalt mixture with different gradation type through Superpave gyratory compaction and X-ray CT scanning.” Constr. Build. Mater. 129 (Dec): 243–255. https://doi.org/10.1016/j.conbuildmat.2016.10.098.
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© 2022 American Society of Civil Engineers.
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Received: Aug 2, 2021
Accepted: Dec 2, 2021
Published online: May 24, 2022
Published in print: Aug 1, 2022
Discussion open until: Oct 24, 2022
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