Effective temperature model for rutting prediction considering temperature distribution inside the asphalt pavements

被引：0
作者：
Yang, Ruikang [1 ]
Liu, Liping [1 ]
Sun, Lijun [1 ]
Jin, Tian [1 ]
Cheng, Huailei [1 ]
Yuan, Jiang [1 ]
机构：
[1] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai, Peoples R China
来源：
ROAD MATERIALS AND PAVEMENT DESIGN | 2025年
基金：
国家重点研发计划;
关键词：
Rutting; effective temperature model for rutting; temperature distribution; regression analysis; PERFORMANCE; MODULUS;
D O I：
10.1080/14680629.2025.2477312
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The complex nature of pavement temperature presents challenges in predicting rutting. This paper develops an effective temperature model that accounts for temperature distribution in asphalt pavements. Twelve sites were selected to analyse the influence of depth and location on temperature field characteristics. The calculation method for effective temperature related to rutting is introduced, and the effects of asphalt layer thickness and site-specific factors on effective temperature are investigated. The effective temperature model for rutting is then established. The results show significant temperature variations at different depths, especially within the top 10 cm of the pavement. A high-accuracy prediction model was developed to quantify effective temperature changes with depth. Mean annual average temperature (MAAT) and mean annual snowfall (MAS) were identified as key factors with the highest correlation to site differences. The established model, incorporating depth, MAAT and MAS demonstrates excellent accuracy and applicability for predicting both effective temperature and rutting depth.
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页数：20
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