Local calibration and Implementation of AASHTOWARE Pavement ME performance models for Oklahoma pavement systems

ABSTRACT

AASHTOWare Pavement ME Design software was developed as an advanced pavement design tool based on the mechanistic-empirical pavement design guide. Existing performance prediction models utilised in this design guide are nationally calibrated, and it is essential to calibrate these models based on the specific local materials and environmental conditions, and pavement performance information. In this study, Pavement ME Design prediction models, including IRI, rutting, top-down and bottom-up fatigue cracking, and transverse cracking models were calibrated for the state of Oklahoma. The predictions from distress and international roughness index models were evaluated and compared with the measured distress values, and the accuracy and bias terms of each model were determined. Nationally calibrated models showed large errors and significant bias values, which asserts the need for local calibration. Locally calibrated coefficients of distresses and international roughness index models for the Oklahoma pavement system were determined. Predictions from calibrated models show that the use of calibrated coefficients improves Pavement ME predictions and the design of flexible pavements in the state. The impact of the local calibration of Pavement ME on flexible pavement designs was analysed. Locally calibrated models lead to lower IRI prediction and higher fatigue cracking and rutting in the designs.

KEYWORDS:

• AASHTOWare Pavement ME Design
• local calibration
• distress models
• flexible pavement

Acknowledgments

The authors gratefully acknowledge the Oklahoma Department of Transportation (DOT) for supporting this study and for all the technical assistance provided. The contents of this paper reflect the views of the authors who are responsible for the facts and accuracy of the data presented within. The contents do not necessarily reflect the official views and policies of the Oklahoma DOT. This paper does not constitute a standard, specification, or regulation.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Oklahoma Department of Transportation: [Grant Number FHWA-OK-2277].