Evaluation of dynamic modulus predictive models for typical Australian asphalt mixes

Dynamic modulus is a fundamental property of asphalt mixes, which is required as material input in most mechanistic-empirical pavement design systems. In the US, various database of dynamic modulus for asphalt mixes have been established and a number of models have been developed to predict dynamic modulus of asphalt materials from various intrinsic characteristics of the mix. However, there is concern about whether these models are appropriate for Australian asphalt mixes. In this study, dynamic moduli of 28 different Australian asphalt mixes were tested over a spectrum of temperatures and loading frequencies, and intrinsic characteristics of the mixes were also determined to establish an Australian database that allows comparison with the US databases and validation of the nominated US models. Results in this study showed that Witczak 1-37A, Hirsch and Alkhateeb models generally under predicted dynamic moduli of the mixes while Witczak 1-40D over predicted the values. The level of bias and error observed in Hirsch, Alkhateeb and Witczak 1-40 was found to be high. The performance of all the models was also found to be inconsistent across different temperatures. Sensitivity analyses of the correlations between dynamic modulus and intrinsic characteristics used in the studied models showed that intrinsic characteristics related to binder properties have the most significant effect on the predicted dynamic modulus. The overall performance of the studied models suggested that they are not robust enough for Australian asphalt mixes.

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