Abstract
Micromechanical modelling has been widely used to predict the properties of asphalt mixes. In comparison to numerical micromechanical models, analytical micromechanical models have the benefits of consuming much less time and facilities. The most commonly used analytical micromechanical models are the Eshelby-based micromechanical models. However, without the consideration of particles’ interactions, these models fail to accurately predict the properties of asphalt mixes, especially at high temperatures. In porous asphalt (PA) mixes, due to the formation of an interconnected aggregate network, the particles’ interactions under a compressive loading condition at high temperatures mainly refer to the packing effects. In order to describe the behavior of packed aggregates in PA mixes, Walton’s model which predicts the effective moduli of a pack of spherical particles is possible to be a suitable way. However, to the best of authors’ knowledge, this model has not been utilized for asphalt mixes. Therefore, this paper aims to investigate the application of Walton’s model for predicting the properties of PA mixes at high temperatures.
Original language | English |
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Title of host publication | Advances in Materials and Pavement Performance Prediction II |
Subtitle of host publication | Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2020), 27-29 May, 2020, San Antonio, Tx, USA) |
Editors | A. Kumar, A.T. Papagiannakis, A. Bhasin, D. Little |
Place of Publication | London |
Publisher | Taylor and Francis |
Number of pages | 5 |
ISBN (Electronic) | 9781003027362 |
Publication status | Published - 2020 |
Event | 2nd International Conference on Advances in Materials and Pavement Performance Prediction - Online due to COVID19, San Antonio, United States Duration: 3 Aug 2020 → 7 Aug 2020 https://www.am3p.com/ https://www.acpa.org/event/am3p-2020/ |
Conference
Conference | 2nd International Conference on Advances in Materials and Pavement Performance Prediction |
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Abbreviated title | AM3P 2020 |
Country/Territory | United States |
City | San Antonio |
Period | 3/08/20 → 7/08/20 |
Internet address |