Use of the mechanistic–empirical pavement design guide and CalME to mitigate rutting in asphalt overlays of concrete pavements

Lev Khazanovich, Derek Tompkins, Priyam Saxena, Rongzong Wu, Erdem Coleri, John T. Harvey

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper describes the development of an approach for the prediction of rutting of newly constructed composite pavements and asphalt overlays of existing concrete pavements [asphalt concrete over portland cement concrete (AC–PCC)]. The rutting model of the Mechanistic–Empirical Pavement Design Guide (MEPDG) and the CalME procedure being developed by the California Department of Transportation and the University of California Pavement Research Center are investigated, and a procedure for incorporating the CalME rutting model into the MEPDG framework is introduced. The goal is to provide pavement engineers with a procedure for rutting in AC–PCC design and analysis that does not require uncommon inputs and does not force the user outside the MEPDG framework. The paper describes the procedure’s validation with experimental data from the Pavement Research Center and from the Minnesota Road Research Facility. A brief sensitivity analysis of the procedure for rutting in AC–PCC is presented.

Original languageEnglish (US)
Pages (from-to)36-44
Number of pages9
JournalTransportation Research Record
Volume2368
DOIs
StatePublished - Jan 1 2013

Bibliographical note

Funding Information:
This research was supported by FHWA Pooled Fund Project TPF-5(149), which was funded by the Minnesota Department of Transportation and the California Department of Transportation. The authors thank Nadarajah Sivaneswaran of FHWA and Tim Clyne of the Minnesota Department of Transportation for support and assistance. The authors thank the participants in the SHRP 2 R21 Composite Pavements project for providing R21 AC–PCC data for model validation and MnROAD and the University of California Pavement Research Center for help in obtaining pavement data.

Funding Information:
This research was supported by FHWA Pooled Fund Project TPF-5(149), which was funded by the Minnesota Department of Transportation and the California Department of Transportation. The authors thank Nadarajah Sivaneswaran of FHWA and Tim Clyne of the Minnesota Department of Transportation for support and assistance. The authors thank the participants in the SHRP 2 R21 Composite Pavements project for providing R21 AC?PCC data for model validation and MnROAD and the University of California Pavement Research Center for help in obtaining pavement data.

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