Technical Papers
Jun 29, 2020

Comparisons of the Resilient Moduli of Asphalt Mixes Containing Recycled Materials through Empirical and Experimental Methods

Publication: Journal of Materials in Civil Engineering
Volume 32, Issue 9

Abstract

The stiffness of asphalt mixes is a fundamental property that plays an important role in determining the performance of asphalt pavement under traffic loading. The resilient modulus (stiffness) of asphalt mixes can be either determined using laboratory experiments or predicted through empirical methods based on asphalt components’ properties. This paper characterized the effect of recycled materials including recycled construction aggregate (RCA) and glass on the resilient modulus of asphalt mixes using both an empirical method and a series of laboratory experiments. In addition, the resilient moduli obtained from different methods for different asphalt mixes were compared, and the accuracy and reliability of different empirical methods were discussed accordingly. The outcomes indicated that in cases in which the value of resilient modulus cannot be obtained experimentally, empirical equations cannot well predict the actual resilient modulus. Furthermore, the addition of RCA and glass at a certain amount was shown to improve the resilient modulus of the asphalt mix. This may be attributed to the basic properties of RCA due to its smaller flakiness index and particle shape compared with virgin aggregates. These two parameters significantly affected the final performance of asphalt mixes.

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Acknowledgments

The authors acknowledge Boral Asphalt Company for providing part of materials required for the research work. The authors also thank Professor Bijan Samali for the use of laboratory facilities at the Western Sydney University.

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 32Issue 9September 2020

History

Received: Nov 13, 2018
Accepted: Feb 11, 2020
Published online: Jun 29, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 29, 2020

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Authors

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Farzaneh Tahmoorian, Ph.D. [email protected]
Lecturer, School of Engineering and Technology, Central Queensland Univ., Mackay, QLD 4740, Australia (corresponding author). Email: [email protected]
John Yeaman, Ph.D. [email protected]
Professor, Faculty of Science, Health, Education and Engineering, Univ. of Sunshine Coast, Sippy Downs, QLD 4556, Australia. Email: [email protected]
Mehdi Mirzababaei, Ph.D. [email protected]
Senior Lecturer, School of Engineering and Technology, Central Queensland Univ., Melbourne, VIC 3000, Australia. Email: [email protected]

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