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Original Articles

An overview and a case study of pavement performance prediction

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Pages 629-644 | Received 22 Dec 2010, Accepted 23 Jul 2012, Published online: 15 Aug 2012
 

Abstract

This study reviews methods for the development of performance prediction expressions for flexible and rigid pavements, and the application of performance estimation routines for planning and maintenance. Using Pavespec 3.0, 200 simulations are completed, using as-constructed pavement system data from the Ohio Route 50 project as inputs. Observed distress data trends are used for calibration, and simulations for the service life of the test pavement are generated. It is found that determining the long-term performance of a pavement using observations spanning over a small fraction of its design life and a set of purely statistical/empirical algorithms poses significant engineering interpretation challenges. Nonetheless, it is found that the test pavement may be expected to fail due to transverse cracking long before it exhibits objectionable extents of spalling, or even before it becomes too rough. Neither the existence nor the type of sealant treatment used is likely to influence the progression of cracking.

Acknowledgements

This investigation was sponsored by the Ohio Department of Transportation (ODOT) and by the Federal Highway Administration (FHWA) as Ohio State Job No. 14668(0), Contract No. 8527, under project ‘Ohio Route 50 Joint Sealant Experiment.’ The principal investigators were Drs Anastasios M. Ioannides and Issam A. Minkarah, Department of Civil and Environmental Engineering, University of Cincinnati. The ODOT Technical Monitor was Mr Roger Green; the Administrator for the Office of Research and Development at ODOT was Ms Monique Evans and the FHWA liaison in Columbus, OH, was Mr Herman Rodrigo. The assistance, cooperation and friendship of these individuals were major contributors to the success of the study, and their support is gratefully acknowledged.

Notes

Additional information

Notes on contributors

Pavan Kumar Tallapragada

1 1. [email protected].

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