Technical Papers
Feb 15, 2013

Validating MEPDG with Tennessee Pavement Performance Data

Publication: Journal of Transportation Engineering
Volume 139, Issue 3

Abstract

To implement the Mechanistic-Empirical Pavement Design Guide (MEPDG) developed by AASHTO for pavement construction and rehabilitation, it is necessary to evaluate its performance prediction models using actual pavement performance data, material properties, traffic information, and environmental factors. This paper validated the MEPDG models using the performance of typical pavements in the state of Tennessee from pavement management system (PMS). With traffic and pavement structural information collected from PMS, the performance of selected highway pavement sections was analyzed with MEPDG Version 1.100 software. The predicted present serviceability index (PSI) and rutting were compared with the actual measurement values. An initial value for the international roughness index (IRI) was suggested for Tennessee highways through investigation into the actual roughness data. The dynamic moduli of asphalt mixtures for input level 1 were obtained from laboratory testing. Those for input level 3 were estimated with the Witczak model. The results show that rutting of asphalt concrete (AC) pavements was more accurately predicted at input level 1, whereas it was overpredicted at input level 3. Traffic level was found to be an important factor affecting predicted pavement roughness. It was also found that MEPDG software was relatively conservative for highway pavements with low traffic level. However, MEPDG with nationally averaged default parameters was not sensitive enough to differentiate various climates, traffic, and materials in Tennessee for the prediction of PSI.

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Acknowledgments

This study was funded by the Tennessee Department of Transportation. The authors would like to thank TDOT engineers for their help with data acquisition. The contents of this paper reflect the views of the authors, who are solely responsible for the facts and the accuracy of the data presented herein, and do not necessarily reflect the official views or policies of the TDOT, nor do the contents constitute a standard, specification, or regulation.

References

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Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 139Issue 3March 2013
Pages: 306 - 312

History

Received: Dec 7, 2011
Accepted: Aug 14, 2012
Published online: Feb 15, 2013
Published in print: Mar 1, 2013

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Authors

Affiliations

Changjun Zhou [email protected]
S.M.ASCE
Graduate Research Assistant, Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN 37996-2010. E-mail: [email protected]
Baoshan Huang, Ph.D. [email protected]
P.E.
M.ASCE
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN 37996-2010 (corresponding author). E-mail: [email protected]
Xiang Shu, Ph.D. [email protected]
Research Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN 37996-2010. E-mail: [email protected]
Qiao Dong, Ph.D. [email protected]
A.M.ASCE
Postdoctoral Research Associate, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN 37996-2010. E-mail: [email protected]

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