Technical Papers
Jan 13, 2020

Prediction of Paving Performance for Epoxy Asphalt Mixture by Its Time- and Temperature-Dependent Properties

Publication: Journal of Materials in Civil Engineering
Volume 32, Issue 3

Abstract

As a type of thermosetting material, any improper or faulty operation of the epoxy asphalt cannot be rectified if the irreversible reaction has taken place. This has brought difficulties to the construction organization of epoxy asphalt pavement. The objective of this study is to evaluate the paving performance of epoxy asphalt mixtures (EAMs) and to predict the allowable time for paving and traffic opening. The viscosity curves of epoxy asphalt binder (EAB) were first measured under different reserved temperatures, and a viscosity growth model considering the time-temperature characteristic was proposed. The Marshall tests were also carried out on EAM under the preset reserved temperature and time to measure the Marshall stability (MS) and the air voids. The permissible reserved time at various reserved temperatures can be obtained through either the viscosity test on EAB or the Marshall test on EAM. The applicability of the two methods was compared, and the temperature influence was discussed. Additionally, the Marshall test results indicate that the relationship between the MS growth rate and the curing temperature follows the Arrhenius law: the traffic opening time of the EAM pavement can be forecast once the temperature-dependent rule is established. The results of this study can provide practical guidance to the mixing, paving, and curing processes of the EAM pavement.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

Support from the CCCC Highway Consultants Co. Ltd. is gratefully acknowledged.

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 32Issue 3March 2020

History

Received: May 14, 2019
Accepted: Aug 5, 2019
Published online: Jan 13, 2020
Published in print: Mar 1, 2020
Discussion open until: Jun 13, 2020

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Authors

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Wei Huang, Ph.D. [email protected]
Professor, Intelligent Transportation System Research Center, Southeast Univ., Nanjing 210096, China. Email: [email protected]
Weiqiang Guo [email protected]
Research Assistant, Dept. of Civil Engineering, Tsinghua Univ., Beijing 100084, China. Email: [email protected]
Ya Wei, Ph.D., M.ASCE [email protected]
Associate Professor, Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Dept. of Civil Engineering, Tsinghua Univ., Beijing 100084, China (corresponding author). Email: [email protected]

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