Preparation and Properties of Cold-Mixed Epoxy-Asphalt Mixture Based on Fractal Theory
Publication: Journal of Materials in Civil Engineering
Volume 35, Issue 9
Abstract
Cold-mixed epoxy-asphalt mixture (CMEAM) has gradually received increased attention in steel bridge pavement construction due to its excellent road performance and low harmful gas emissions. According to previous studies, EA-05 and EA-10 (epoxy asphalt mixture with nominal maximum particle sizes of 4.75 and 9.5 mm, respectively), are advised to be applied in CMEAM and hot mixed epoxy asphalt mixture (HMEAM), respectively. This only considers the temperature factor and ignores the gradation influence. To make a clear gradation design illustration for CMEAM, fractal theory was introduced to quantitatively distinguish the differences among various gradations from EA-05 and EA-10 using fractal dimension as an index. In addition, to offer more design parameters for CMEMA, the passing percentage on key sieves whose passing percentages have high correlation coefficients with road performance, mixture structure parameters including stone-on-stone contact (SSC) and stability of coarse aggregates (S) are also considered as indexes. According to the requirements in the foregoing specifications, the Marshall stability test, low-temperature indirect tensile strength test (ITS), and freeze-thaw splitting test were carried out on CMEAM. Test results showed that Marshall modulus (MM), tensile strain (), and tensile strength ratio (TSR) have a good quadratic relation function with fractal dimensions. When the fractal dimension ranges from 2.4522 to 2.4782, the low-temperature performance and moisture stability of EA-05 are better than those of EA-10, and Marshall stability also meets technical requirements. Meanwhile, the key sieves of EA-05 are confirmed as 0.075 mm, 0.15 mm, and 2.36 mm, and those of EA-10 are 0.075 mm, 1.18 mm, 2.36 mm, and 4.75 mm. Finally, the optimum ranges of SSC for EA-05 and EA-10 are 110.4%–110.6% and 67.5%–72.7%, respectively; and of S are 118.5%–118.7% and 70.2%–73.4%, respectively.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was supported by Hunan Provincial Natural Science Foundation of China (Grant No. 2022JJ30155), the Science and Technology Planning Project of Hunan Province (Grant Nos. 2019RS2052 and 2018TP2038) and Hunan Provincial Graduate Research Innovation Project (Grant No. QL20220093). The authors gratefully acknowledge their financial support.
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Published In
Journal of Materials in Civil Engineering
Volume 35 • Issue 9 • September 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Dec 2, 2022
Accepted: Feb 3, 2023
Published online: Jun 22, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 22, 2023
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