DISTRESS MODELING FOR DARWIN-ME (FHWA-OK-13-10 2235)

Abstract

Distress prediction models, or transfer functions, are key components of the Pavement M-E Design and relevant analysis. The accuracy of such models depends on a successful process of calibration and subsequent validation of model coefficients in the transfer functions with independent data sets. In this project, data needs for distress models in Pavement ME Design are investigated for the state of Oklahoma. Based on past research work at Oklahoma Department of Transportation (ODOT), various Pavement ME Design inputs, historical cracking, rutting, and roughness data are gathered for selected ODOT segments and Long Term Pavement Performance (LTPP) sites. Pavement ME Design test runs are performed, and precision and bias levels of rutting, cracking, and roughness data sets in the historical ODOT databases are studied. Finally a workflow for Pavement ME Design prediction model calibration in Oklahoma is established to assist ODOT in implementing Pavement ME in the next decade in a production environment.