Estimating the effect of coarse aggregate meso-structure on the thermal contraction of asphalt mixture by a hierarchical prediction approach

•Capture optimal models of hierarchical materials of different asphalt mixtures.•Analyze the effect of coarse aggregate meso-structure on the thermal contraction of asphalt mixtures.•Improve the prediction accuracy of thermal contraction of asphalt mixture. The thermal contraction characteristics of...

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Veröffentlicht in:Construction & building materials 2022-08, Vol.342, p.128048, Article 128048
Hauptverfasser: Sun, Zhiqi, Qi, Haonan, Li, Shaohua, Tan, Yiqiu, Yue, Zurun, Lv, Huijie
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Sprache:eng
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Zusammenfassung:•Capture optimal models of hierarchical materials of different asphalt mixtures.•Analyze the effect of coarse aggregate meso-structure on the thermal contraction of asphalt mixtures.•Improve the prediction accuracy of thermal contraction of asphalt mixture. The thermal contraction characteristics of asphalt mixture are closely associated with the low-temperature cracking of pavement. As for the research on the thermal contraction characteristics of asphalt mixture, it focuses mainly on the method of meso-theoretical prediction, which did not further analyze the impact of meso-structure characteristics of asphalt mixture. In this paper, a hierarchical prediction was made to analyze the effect of coarse aggregate meso-structure on the asphalt mixture. Experiments were conducted to obtain the thermal contraction strain of asphalt and asphalt mixture in steady heat transfer and to determine the meso-structure characteristics of asphalt mixture through industrial X-ray computed tomography (CT) and image processing. Given the matching degree of four meso-prediction models and asphalt-based materials and different meso-structure characteristics, the interaction term between inclusions in the meso-prediction model formula was clarified, and the impact of meso-structure on the thermal contraction of asphalt mixture was quantified. By analyzing the relationship between meso-structures and meso-prediction models, the Mori-Tanaka model was confirmed as optimal, and the model parameter of the interaction terms was adjusted using the test values of asphalt mixtures with different meso-structures, which further improves prediction accuracy for the thermal contraction of asphalt mixture. This paper provides a theoretical reference for the design of asphalt mixture materials.
ISSN:0950-0618
DOI:10.1016/j.conbuildmat.2022.128048