Technical Papers
Feb 25, 2015

Method for Predicting the Laboratory Compaction Behavior of Asphalt Mixtures

Publication: Journal of Materials in Civil Engineering
Volume 27, Issue 11

Abstract

The quality of compaction significantly influences the performance of asphalt mixtures. Insufficient compaction often leads to excessive premature permanent deformation, excessive aging, and/or moisture damage. The research reported in this paper was aimed at developing a prediction model for laboratory compaction of asphalt mixtures. The model was developed based on extensive laboratory measurements and it includes parameters that describe aggregate shape characteristics, aggregate gradation, and binder content. The results show that the asphalt mixture type, aggregate properties, and binder content have a significant effect on the slope and intercept values of the laboratory compaction curves. Two models that describe both the slope and intercept of the laboratory compaction curves of asphalt mixtures are presented. These models provide valuable inputs that can be used to quantify the compaction effort needed to compact asphalt mixtures in the laboratory and correlate this effort to field compaction requirements.

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Acknowledgments

The writers recognize support provided by a grant from the U.S. DOT, University Transportation Centers Program, to the Southwest Region University Transportation Center. The writers would also like to thank Dr. Magdy Mikhail from the Texas DOT for serving as a project monitor for the research reported in this paper.

References

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Published In

Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 27Issue 11November 2015

History

Received: Apr 22, 2013
Accepted: Nov 12, 2014
Published online: Feb 25, 2015
Discussion open until: Jul 25, 2015
Published in print: Nov 1, 2015

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Authors

Affiliations

Graduate Research Assistant, Texas A&M Transportation Institute, Texas A&M Univ. (TAMU) System, 3135 TAMU, College Station, TX 77843-3135 (corresponding author). E-mail: [email protected]
Emad Kassem, A.M.ASCE
Associate Research Scientist, Texas A&M Transportation Institute, Texas A&M Univ. System, 3135 TAMU, College Station, TX 77843-3135.
Eyad Masad, F.ASCE
Professor, Zachry Dept. of Civil Engineering, Texas A&M Univ., 3135 TAMU, College Station, TX 77843-3135.
Dallas Little, F.ASCE
Professor, Zachry Dept. of Civil Engineering, Texas A&M Univ., 3135 TAMU, College Station, TX 77843-3135.

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