ORIGINAL RESEARCH article
Front. Mater.
Sec. Structural Materials
This article is part of the Research TopicFunctional Materials for Sustainable Pavement Engineering: Multi-scale Design and Environmental IntegrationView all 9 articles
Research on Factors Influencing High Temperature Deformation of Asphalt Mixture and Prediction Modeling
Provisionally accepted
- 1Engineering Department, Guangxi G-Energy Engineering Consulting Group Co. Ltd., Nanning, China
- 2Guangxi University, Nanning, China
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This study addresses the root causes of rutting defects by examining the influence of environmental temperature, load, water-heat coupling, and the maximum nominal particle size of aggregates on the permanent deformation of asphalt mixtures. Through testing rutting specimens under varying experimental conditions, the patterns of permanent deformation were analyzed. The results indicate that temperature, water-heat coupling, load, and aggregate nominal particle size are significant factors affecting rutting depth and dynamic stability, with load exerting the greatest impact, followed by water-heat coupling. Using machine learning algorithms, a predictive model was developed to estimate rutting depth and dynamic stability, enabling accurate evaluation of the high-temperature deformation capacity of asphalt mixtures.
Keywords: asphalt mixture, High temperature deformation, Influencing factors, Prediction model, Ruttingtime curve
Received: 24 Nov 2025; Accepted: 02 Jan 2026.
Copyright: © 2026 Hu, Ye, Zuo, Huang, Liao, He and Rong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Hongliu Rong
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