Chapter
Jun 13, 2023

Evaluation of Pavement ME Prediction of Rutting Performance for Open-Graded Friction Course Asphalt Mixtures

Publication: Airfield and Highway Pavements 2023

ABSTRACT

Open-graded friction course (OGFC) mixtures are widely known for rapid water drainage, enhanced surface texture, improved driver safety, and reduced splash and spray. The objective of this study was to verify the predictive capability of Pavement ME total rut depth predictions with that of the average rut depth measurements in the field for the same OGFC sections. Mixture volumetric inputs for Pavement ME software, such as air voids, binder content, and aggregate gradation, were gathered from previously conducted studies for six different OGFC sections of Interstate 75 (I-75) south of Atlanta, Georgia. The traffic data was collected from the weigh-in-motion (WIM) stations closest to the field sections, while the climatic data was collected from the MERRA-2 weather station along the I-75 south of Atlanta, Georgia. As these values were well below the failure criteria, an additional analysis was performed for the rut depth after 20 years. Even this result was well within the specified criteria. Within the limitations of this study, Pavement ME software gave a conservative prediction for rut depth when compared to field observed values. Overall, the study highlighted benefits and challenges of using Pavement ME software for OGFC rut depth predictions.

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Go to Airfield and Highway Pavements 2023
Airfield and Highway Pavements 2023
Pages: 97 - 107

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Published online: Jun 13, 2023

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Ahmad Alfalah [email protected]
1Center for Research and Education in Advanced Transportation Engineering Systems, Rowan Univ., Glassboro, NJ. Email: [email protected]
Debzani Mitra [email protected]
2Center for Research and Education in Advanced Transportation Engineering Systems, Rowan Univ., Glassboro, NJ. Email: [email protected]
Gabriel Becerril Jr. [email protected]
3Center for Research and Education in Advanced Transportation Engineering Systems, Rowan Univ., Glassboro, NJ. Email: [email protected]
Abhary Eleyedath, Ph.D. [email protected]
4Center for Research and Education in Advanced Transportation Engineering Systems, Rowan Univ., Glassboro, NJ. Email: [email protected]
Yusuf Mehta, Ph.D. [email protected]
P.E.
5Center for Research and Education in Advanced Transportation Engineering Systems, Rowan Univ., Glassboro, NJ. Email: [email protected]
Ayman Ali, Ph.D. [email protected]
6Center for Research and Education in Advanced Transportation Engineering Systems, Rowan Univ., Glassboro, NJ. Email: [email protected]

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