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Reducing Compaction Temperature of Asphalt Mixtures by GNP Modification and Aggregate Packing Optimization.

Authors :
Yan, Tianhao
Turos, Mugurel
Le, Jia-Liang
Marasteanu, Mihai
Source :
Materials (1996-1944). Sep2022, Vol. 15 Issue 17, p6060. 14p.
Publication Year :
2022

Abstract

Compaction of hot mix asphalt (HMA) requires high temperatures in the range of 125 to 145 ° C to ensure the fluidity of asphalt binder and, therefore, the workability of asphalt mixtures. The high temperatures are associated with high energy consumption, and higher NOx emissions, and can also accelerate the aging of asphalt binders. In previous research, the authors have developed two approaches for improving the compactability of asphalt mixtures: (1) addition of Graphite Nanoplatelets (GNPs), and (2) optimizing aggregate packing. This research explores the effects of these two approaches, and the combination of them, on reducing compaction temperatures while the production temperature is kept at the traditional levels. A reduction in compaction temperatures is desired for prolonging the paving window, extending the hauling distance, reducing the energy consumption for reheating, and for reducing the number of repairs and their negative environmental and safety effects, by improving the durability of the mixtures. A Superpave asphalt mixture was chosen as the control mixture. Three modified mixtures were designed, respectively, by (1) adding 6% GNP by the weight of binder, (2) optimizing aggregate packing, and (3) combining the two previous approaches. Gyratory compaction tests were performed on the four mixtures at two compaction temperatures: 135 ° C (the compaction temperature of the control mixture) and 95 ° C. A method was proposed based on the gyratory compaction to estimate the compaction temperature of the mixtures. The results show that all the three methods increase the compactability of mixtures and thus significantly reduce the compaction temperatures. Method 3 (combining GNP modification and aggregate packing optimization) has the most significant effect, followed by method 1 (GNP modification), and method 2 (aggregate packing optimization). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19961944
Volume :
15
Issue :
17
Database :
Academic Search Index
Journal :
Materials (1996-1944)
Publication Type :
Academic Journal
Accession number :
159035434
Full Text :
https://doi.org/10.3390/ma15176060