Inputs for Local Calibration of AASHTOWare Pavement Mechanistic-Empirical Design Software for Rehabilitation

The AASHTOWare mechanistic-empirical pavement design (PMED) is a state-of-the-art new and rehabilitation project design procedure that accounts for local environmental conditions, highway materials, and actual highway traffic distribution using axle load spectra. The distress prediction models must be calibrated for a particular state or region to apply this procedure precisely. However, generating input data for calibration is one of the most challenging aspects of the calibration process. This paper describes the input data collection process for PMED calibration for rehabilitated pavements in Kansas, a midwestern state in the United States.