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Iowa State University--Becoming the Best

Iowa Calibration of MEPDG Performance Prediction Models


Principal investigators:

Co-principal investigators:

Project status


Start date: 05/20/11
End date: 08/31/12


Report: Iowa Calibration of MEPDG Performance Prediction Models (4.81 mb pdf) June 2013

Tech transfer summary: Iowa Calibration of MEPDG Performance Prediction Models (777.81 kb pdf) Jun 2013


Sponsor(s): Iowa Department of Transportation

About the research


This study aims to improve the accuracy of AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) pavement performance predictions for Iowa pavement systems through local calibration of MEPDG prediction models. A total of 130 representative pavement sites across Iowa were selected. The selected pavement sites represent flexible, rigid, and composite pavement systems throughout Iowa. The required MEPDG inputs and the historical performance data for the selected sites were extracted from a variety of sources. The accuracy of the nationally-calibrated MEPDG prediction models for Iowa conditions was evaluated. The local calibration factors of MEPDG performance prediction models were identified to improve the accuracy of model predictions. The identified local calibration coefficients are presented with other significant findings and recommendations for use in MEPDG/DARWin-ME for Iowa pavement systems.