Iowa calibration of MEPDG performance prediction models.
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2013-06-01
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NTL Classification:NTL-HIGHWAY/ROAD TRANSPORTATION-Pavement Management and Performance;NTL-HIGHWAY/ROAD TRANSPORTATION-Design;
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Abstract: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.
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