Abstract
Many state highway agencies are working to implement the new AASHTOWare Pavement Mechanistic Empirical Design (PMED). The predicted distress models for flexible pavements must be calibrated to local conditions for accurate pavement performance prediction and subsequent design analysis. In the past, there were multiple efforts on local calibration of flexible pavement distress models in Kansas using AASHTOWare PMED versions 2.2 and 2.5. The new AASHTOWare version 2.6 needs to be evaluated for updated local calibration factors. Twenty-one newly constructed flexible pavements were selected in Kansas for evaluating local calibration factors for different distress models, including rutting, fatigue cracking, transverse cracking, and international roughness index (IRI). The local calibration factors that were developed previously using AASHTOWare version 2.5 performed well for rutting and international roughness index distress models when using version 2.6. However, the top-down fatigue cracking model showed unsuccessful performance. This is because the top-down distress prediction model was drastically changed in PMED version 2.6.0.
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