Effect of carbon black on the dynamic moduli of asphalt mixtures and its master curves

Chuangmin LI, Fanbo NING, Yuanyuan LI

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PDF(754 KB)
Front. Struct. Civ. Eng. ›› 2019, Vol. 13 ›› Issue (4) : 918-925. DOI: 10.1007/s11709-019-0526-6
RESEARCH ARTICLE
RESEARCH ARTICLE

Effect of carbon black on the dynamic moduli of asphalt mixtures and its master curves

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Abstract

Modulus is one of the main parameters during the design of asphalt pavement structure, the newest specifications of China gives the dynamic moduli ranges of commonly used asphalt mixtures with base asphalt (BA) or styrene-butadiene-styrene modified asphalt (SBS MA), while the moduli ranges of mixtures with carbon black modified asphalt (CB MA) are not recommended. To investigate the CB effect on the dynamic moduli of CB MA mixtures, one commonly used asphalt mixture (AC-20) was designed with BA, SBS MA, and CB MA, respectively. Then, the uniaxial compression dynamic modulus tests were conducted at different temperatures and loading frequencies, the master curves of asphalt mixtures were analyzed based on the time-temperature equivalence principle. The results show that with increasing loading frequency, the temperature dependence of dynamic moduli of all asphalt mixtures tend to be less obvious. Both SBS and CB can decrease the temperature sensitivity of asphalt mixture, the SBS MA mixture has the lowest temperature sensitivity, followed by CB MA and BA mixture. In addition, CB and SBS can obviously improve the dynamic modulus of the BA mixture, enhance the anti-deformation performance of pavement structure, and the improvement effect of CB is almost the same with SBS.

Keywords

dynamic modulus / carbon black / master curve / modified asphalt / asphalt mixture

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Chuangmin LI, Fanbo NING, Yuanyuan LI. Effect of carbon black on the dynamic moduli of asphalt mixtures and its master curves. Front. Struct. Civ. Eng., 2019, 13(4): 918‒925 https://doi.org/10.1007/s11709-019-0526-6

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Acknowledgments

This work was financially supported by the Hunan Provincial Natural Science Foundation of China (No. 2019JJ40312), and the Open Fund of Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan Province (Changsha University of Science & Technology) (No. kfj180601).

Author Contributions

Chuangmin Li and Fanbo Ning conceived and designed the experiments. Fanbo Ning and Yuanyuan Li performed the experiments. Chuangmin Li, Fanbo Ning and Yuanyuan Li analyzed the data. Yuanyuan Li contributed reagents/materials/analysis tools. Chuangmin Li and Fanbo Ning wrote the paper. Chuangmin Li, Fanbo Ning and Yuanyuan Li designed the software used in analysis. Chuangmin Li and Yuanyuan Li reviewed the paper.

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2019 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
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