Precision Analysis of Sigmoidal Master Curve Model for Dynamic Modulus of Asphalt Mixtures

The sigmoidal master curve model can be used to obtain the value of dynamic modulus of asphalt mixtures at a high or low temperature, which cannot be obtained directly from laboratory tests. However, some studies indicated that the precision of this model should be investigated at a high temperature. Therefore, the objective of this study was to analyze the prediction precision of the sigmoidal master curve model on dynamic modulus of asphalt mixtures and find out the critical factors influencing the prediction precision for further calibration of the sigmoidal model. A database of dynamic modulus values, including different aggregate sources, types of layers, contents of reclaimed asphalt pavements (RAPs), antistripping agent types, warm additives, and aging states, was used for the analysis. Firstly, single-factor analysis was conducted with the analysis of variance (ANOVA) table. Furthermore, the interaction among variables was analyzed through coupling analysis by the software Minitab 17. The results indicate the temperature has an influence on two-factor and three-factor interactions. For further study, the sigmoidal master curve model should be calibrated by introducing new variables to improve its accuracy.