Table of Contents Author Guidelines Submit a Manuscript
Advances in Materials Science and Engineering
Volume 2017, Article ID 2062758, 11 pages
https://doi.org/10.1155/2017/2062758
Research Article

Effects of Test Conditions on APA Rutting and Prediction Modeling for Asphalt Mixtures

1Key Laboratory of Highway Construction & Maintenance Technology in Loess Region, Shanxi Transportation Research Institute, Taiyuan, Shanxi 030006, China
2School of Highway, Chang’an University, Xi’an, Shaanxi 710064, China

Correspondence should be addressed to Jiupeng Zhang; moc.361@gnepuijhz

Received 5 June 2017; Accepted 19 October 2017; Published 6 November 2017

Academic Editor: Ana María Díez-Pascual

Copyright © 2017 Hui Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

APA rutting tests were conducted for six kinds of asphalt mixtures under air-dry and immersing conditions. The influences of test conditions, including load, temperature, air voids, and moisture, on APA rutting depth were analyzed by using grey correlation method, and the APA rutting depth prediction model was established. Results show that the modified asphalt mixtures have bigger rutting depth ratios of air-dry to immersing conditions, indicating that the modified asphalt mixtures have better antirutting properties and water stability than the matrix asphalt mixtures. The grey correlation degrees of temperature, load, air void, and immersing conditions on APA rutting depth decrease successively, which means that temperature is the most significant influencing factor. The proposed indoor APA rutting prediction model has good prediction accuracy, and the correlation coefficient between the predicted and the measured rutting depths is 96.3%.