New predictive models for the dynamic modulus of hot mix asphalt

• Developing two models for predicting the |E∗| of hot mix asphalt mixtures.
• Modeling is based on viscoelastic and time–temperature superposition concepts.
• The models use different mixture and binder properties to predict |E∗| values.
• Witczak and Hirsch models were evaluated using an exhaustive database.
• New models can be used in performance analyses of asphalt concrete pavements.

This paper presents a fundamental modeling framework for prediction of dynamic modulus of hot mix asphalt mixtures based on viscoelastic principles. The outcomes are two closed-form models that can be used to predict the mixture dynamic modulus for a wide range of temperatures (−10°, 4.4°, 37.8°, and 54.4 °C) recommended in the American Association of State Highway and Transportation Officials (AASHTO) TP62-03 test protocol. To develop and verify the models a large database that covers the complete range of potential input conditions was assembled. In general, the proposed models predict the dynamic modulus with a very good level of accuracy.