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Development of a rheology-based mixture aging model for asphalt material cracking performance evaluation

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Abstract

Aging has a significant effect on the performance of asphalt material. Reliable modelling of the change of asphalt mixture properties over time is crucial to evaluating and predicting the performance of the designed pavement. The objective of this study is to develop an aging model to accurately predict the cracking performance of asphalt mixtures over the pavement service life, as well as evaluate the aging susceptibility of mixtures over time. In this study, nine loose mixtures were conditioned in an oven at 95 °C for multiple durations to simulate different field aging times. The climatic aging index (CAI) developed by the National Cooperative Highway Research Program (NCHRP) 09-54 project was utilized to calculate the appropriate field aging durations corresponding to the different laboratory aging conditions. Complex modulus tests (E*) were conducted to measure the rheological properties of the conditioned mixtures and further construct the dynamic modulus and phase angle mastercurves. The mixture Glover–Rowe (G–Rm) parameter, incorporating both stiffness and relaxation capacity, was selected and used as the Aging Index Property to model the changes in mixture cracking properties with aging. The results of this study indicate that the developed mixture aging model can effectively capture the two aging reaction periods (fast and constant) of asphalt materials. The developed model can not only be used to evaluate the change of cracking properties over pavement service life, but also detect the aging susceptibility of asphalt mixtures.

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Acknowledgements

The authors would like to acknowledge New Hampshire Department of Transportation (NHDOT) for sponsoring this study and the University of New Hampshire Center for Infrastructure Resilience to Climate (UCIRC). Findings and conclusions presented in this paper represent results of research interpreted by of authors and does not does not necessarily represent the views or policies of the project sponsors.

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Authors and Affiliations

  1. University of New Hampshire, W161 Kingsbury Hall, 33 Academic Way, Durham, NH, 03824, USA

    Runhua Zhang

  2. University of New Hampshire, W183B Kingsbury Hall, 33 Academic Way, Durham, NH, 03824, USA

    Jo E. Sias

  3. University of New Hampshire, W173 Kingsbury Hall, 33 Academic Way, Durham, NH, 03824, USA

    Eshan V. Dave

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  1. Runhua Zhang
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Correspondence to Runhua Zhang.

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Zhang, R., Sias, J.E. & Dave, E.V. Development of a rheology-based mixture aging model for asphalt material cracking performance evaluation. Mater Struct 54, 150 (2021). https://doi.org/10.1617/s11527-021-01743-5

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