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Abstract:
The thermophysical parameters of asphalt pavement materials are vital and significant to accurately predict the temperature field of asphalt pavement. In this paper, the thermophysical parameters of asphalt composites with different scales were tested by a thermal constant analyzer. A computing method of multi-scale homogenization thermal conductivity of asphalt composites based on the improved Maxwell-Eucken model considering interface thermal resistance and particle shape coefficient was proposed. The accuracy of the proposed computing method was verified by the experimental results of thermal conductivity of asphalt composites at different scales. The interface thermal resistance coefficient (α) was determined by using the thermal conductivity experimental data, α=0.1709. The results show that the thermal conductivity, thermal diffusivity and thermal effusivity of asphalt mastic increased linearly, but the specific heat capacity decreased with the increasing of filler content. The TC of asphalt composites is sorted from large to small as follows: mixture, mastic, asphalt binder. Their values are about 0.2, 0.6 and 1.2 W/(m∙oC), respectively. The thermal conductivity of mineral powder is more than ten times higher than that of asphalt binder. The particle shape coefficient (aggregate shape) had a slight effect on the thermal conductivity of asphalt mixture. But the interface thermal resistance between aggregate particle and asphalt mastic had a significant influence on the thermal conductivity of asphalt mixture. At the mixture scale, the relative error between the computed value and the experimental value of the proposed method without considering the interface thermal resistance coefficient was about 30 %. The accuracy of the proposed thermal conductivity computing method considering the interface thermal resistance coefficient could reach more than 90 % in the mixture scale. The proposed method of calculating thermal conductivity is non-destructive compared to the test method, i.e. it does not damage the actual pavement. © 2024
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Thermal Science and Engineering Progress
Year: 2024
Volume: 49
4 . 8 0 0
JCR@2022
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 9
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