Computational Analysis of Thermal Conductivity of Asphalt Mixture Based on a Multiscale Mathematical Model
Publication: Journal of Engineering Mechanics
Volume 144, Issue 8
Abstract
This paper presents an analytical method to determine the effective thermal conductivity of asphalt mixture, considering morphological characteristics and thermal properties of each component. The heat transfer process in asphalt mixture was modeled through reasonable simplifications. A multiscale model was developed to calculate the effective thermal conductivity of asphalt mixture based on the principle of minimum thermal resistance. The thermal prediction results were validated with experimental data reported in the literature. A new parameter, regarded as the morphological factor, was deduced to quantify the contribution of dispersed phase morphology to thermal conductivity of asphalt mixtures. The results show that the morphological factor of coarse aggregate, generally ranging from 0.2 to 0.7, can be represented by normal distribution. The sphericity and orientation angle of coarse aggregate have combined effects on the effective thermal conductivity of asphalt mixture, which can be characterized by the proposed morphological factor. Moreover, the effective thermal conductivity is positively related to aggregate content, thermal conductivity of aggregate, and fine aggregate matrix, but negatively correlated with morphological factor and porosity.
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Acknowledgments
This work was financially supported by the China Natural Science Foundation (No. 51778142), the China Civil Aviation Science and Technology Innovation Fund (No. MHRD20140215), and the Project of Six Talent Peaks in Jiangsu Province (No. 1150140005).
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Information
Published In
Journal of Engineering Mechanics
Volume 144 • Issue 8 • August 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Sep 15, 2017
Accepted: Feb 12, 2018
Published online: May 31, 2018
Published in print: Aug 1, 2018
Discussion open until: Oct 31, 2018
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