Iowa calibration of MEPDG performance prediction models.

Details

• Creators:
  Ceylan, Halil ; Kim, Sunghwan ; Gopalakrishnan, Kasthurirangan ; Ma, Di
• Corporate Creators:
  Iowa State University. Institute for Transportation
• Subject/TRT Terms:
  • Pavement design
  • Pavement performance
  • Mathematical prediction
  • Accuracy
  • Portland cement concrete
  • Hot mix asphalt
  • Calibration
  • Rigid pavements
  • Flexible pavements
  • Composite pavements
• Publication/ Report Number:
  InTrans Project 11-401
• Resource Type:
  Tech Report
• Geographical Coverage:
  Iowa
• Corporate Publisher:
  Iowa. Dept. of Transportation
• 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.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/26287/dot_26287_DS1.pdf
• File Type:
  [PDF - 4.89 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:bca7cc6dc4055f8e75071b92c44853e18e28f449b877880c427290fe1bf4164a18a6f0271b8d07052f1dd29e1182d9436c5c027104c6da3531289d568880533b