Technical Papers
Jun 22, 2020

Relationship between Rank of Laboratory Testing Results and Field Performance of Asphalt Interstate Pavement

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

Abstract

This study investigates the performance of multiple sections of the interstate system in Arkansas through the laboratory testing of 270 field cores taken from ten sections of I-30 and I-40. These roadway sections are defined by the state agency as good, medium, and poor performed sections based on the agency’s guidelines, experience, and judgment. This study intends to use the fundamental properties to define the pavement condition and support the agency to assess the pavement condition. Intentionally, this study proposes a method to determine the pavement condition of the interstates and aims to support the agency to make the decision of future preservation, maintenance, or rehabilitation. The air voids, fracture energy, dynamic modulus, and bond strength are evaluated with the field cores taken from the selected sections. A ranking method using the results of the laboratory tests is proposed to divide the interstate sections into three groups. It is found that the groups generally match the agency defined good, medium, and poor conditions. However, there are exceptions in which the group method does not completely agree with the agency’s pavement condition. Finally, correlations among the laboratory test results of field cores and in-service pavement conditions such as the international roughness index (IRI) and rut depth have been established. The laboratory test results are statistically correlated with the rut depth, but no significant correlation between the laboratory test results and IRI has been observed. Specifically, the air voids and dynamic modulus of the bottom surface layer are related to the rut depth of the left lane. Interestingly, the weighted bond strength between bottom surface course and binder course layers at 54°C is found to be related to the rut depth of the right lane. The traffic volume has been found to be well-correlated with the IRI.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. The following data are available from the corresponding author: air void, fracture energy, ID(T) dynamic modulus, bond strength, IRI, rutting depth, traffic volume, and statistics.

Acknowledgments

The authors thank the support from the Arkansas Department of Transportation, the National Natural Science Foundation of China (No. 51708201), Fundamental Research Funds for the Central Universities (No. 531118010050), and Natural Science Foundation of Hunan Province (No. 2019JJ50064).

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

History

Received: Oct 30, 2019
Accepted: Feb 19, 2020
Published online: Jun 22, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 22, 2020

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Authors

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Assistant Professor, College of Civil Engineering, Hunan Univ., Changsha 410082, China (corresponding author). Email: [email protected]
Andrew Braham, M.ASCE [email protected]
Associate Professor, Bell Engineering Center, Dept. of Civil Engineering, Univ. of Arkansas, Fayetteville, AR 72701. Email: [email protected]
Zahid Hossain, M.ASCE [email protected]
Associate Professor, Dept. of Civil Engineering, Arkansas State Univ., P.O. Box 1740, LSW #246, State University, AR 72467. Email: [email protected]

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