Investigation and Prediction Model for the Dynamic Modulus of Asphalt Emulsion Cold Recycled Mixtures
Publication: Journal of Materials in Civil Engineering
Volume 27, Issue 1
Abstract
The stiffness characteristics of four types of asphalt emulsion cold recycled mixtures (AECRMs) were evaluated using the simple performance test (SPT). Factors influencing the dynamic modulus and the applicability of the Witczak model were investigated. Based on the time-temperature superposition principle, the dynamic modulus master curves of recycled mixtures were constructed using nonlinear-least squares regression techniques. Statistical significance on the basis of one-way analysis of variance was evaluated as a function of cement, aggregate gradation, frequency, temperature, and confining pressure. The Witczak model is suitable for AECRMs and cement-treated AECRMs, and its prediction accuracy was improved by modifying the original Witczak model. The accuracy of the predicted models was evaluated on the basis of the statistical analysis. The one-way analysis of variance results indicated that the constructed master curves were consistent with the experimental test data. Frequency and temperature significantly affected the dynamic modulus, while confining pressure was not significant. Cement and aggregate gradation had a significant effect on the dynamic modulus at high temperatures or at low frequencies, while the effect was not significant at low temperatures or at high frequencies. Furthermore, the results of the statistical analysis showed that the modified and the original Witczak models resulted in a satisfactory fit between the predicted results and the laboratory measured data. The modified Witczak model was more accurate than the original model for AECRM.
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Acknowledgments
This study was supported by Jiangsu Provincial Transportation Science and Technology Project (2011Y/02-G2 and 2011Y28). The authors would like to thank Prof. Fujian Ni, Dr. Yanqing Zhao, Dr. Haoran Zhu, and Mr. Meikun Yang who assisted with the laboratory testing program and data analysis. The authors also appreciate the comments of the peer reviewers and editors.
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Published In
Journal of Materials in Civil Engineering
Volume 27 • Issue 1 • January 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Sep 13, 2013
Accepted: Feb 3, 2014
Published online: Jul 10, 2014
Discussion open until: Dec 10, 2014
Published in print: Jan 1, 2015
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