ABSTRACT
Rutting is one of the most serious distresses of semi-rigid asphalt pavements. In this research AASHTOW are pavement ME design software was used for rutting prediction of semi-rigid pavements. Local calibration was done first by taking into account local materials, traffic information, and environmental conditions. A total of 32 sites representing all common mixture types of Jiangsu province were selected to complete the calibration and validation. Then the calibrated software was used to identify sensitive factors for rutting prediction. Critical inputs needed for the calibration and sensitive analysis were tested or collected from local project level PMS database. Modulus of semi-rigid base was back calculated from deflection basin data. Calibration coefficients for each typical structure and the optimal coefficients for this region were identified respectively. Results also reveal that thickness of HMA layers and traffic inputs are more sensitive to the rutting prediction than void content of HMA mixtures.
