Effective Temperature of Rutting for Semi-Rigid Base Asphalt Pavement

被引：0
作者：
Yang, Ruikang [1 ]
Jin, Tian [1 ]
Liu, Liping [1 ]
Sun, Lijun [1 ]
Yuan, Jiang [1 ]
Cheng, Huailei [1 ]
机构：
[1] Key Laboratory of Road and Traffic Engineering, The Ministry of Education, Tongji University, Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2024年 / 52卷 / 10期
关键词：
asphalt pavement; effective temperature for rutting; prediction model; road engineering;
D O I：
10.11908/j.issn.0253-374x.22521
中图分类号：
学科分类号：
摘要：
This paper aims to predict the rutting depth more accurately and simplify the prediction process. First, the effective temperature for rutting of semi-rigid base asphalt pavement in 10 sites was calculated based on the full-thickness asphalt pavement temperature field prediction model and rutting prediction model. Then, the effect of asphalt layer thickness and site factors on the effective temperature were analyzed. Afterwards, a prediction model was established, incorporating the depth, annual average temperature (AAT), and annual rainfall (AR). Finally, the model was verified and compared with other existing models. The results show that the asphalt layer thickness only has a significant effect at a depth of 0.5 cm, and the site significantly affects each sublayer. A model with a better extensibility and robustness is proposed based on the distribution characteristics of effective temperature along the depth. Combined with the regional correction factor, an effective temperature prediction model considering regional differences is established. Compared with the existing models, the effective temperature model established in this paper is suitable for different design conditions, materials, and traffic volumes. © 2024 Science Press. All rights reserved.
引用
收藏
页码：1558 / 1566
页数：8
相关论文
共 23 条
  • [1] SUN Lijun, Structural behavior of asphalt pavements, (2013)
  • [2] TAHER B M, MOHAMED R K, MAHREZ A., A review on fatigue and rutting performance of asphalt mixes[J], Scientific Research and Essays, 6, 4, (2011)
  • [3] RAHMAN A A, MENDEZ LARRAIN M M, TAREFDER R A., Development of a nonlinear rutting model for asphalt concrete based on Weibull parameters[J], International journal of pavement engineering, 20, 9, (2019)
  • [4] ALKAISSI Z A., Effect of high temperature and traffic loading on rutting performance of flexible pavement [J], Journal of King Saud University-Engineering Sciences, 32, 1, (2020)
  • [5] ZHENG Nanxiang, NIU Sisheng, XU Xinquan, Temperature, axle load and axle load frequency model of rutting prediction of heavy-duty asphalt pavement, China Journal of Highway Transpotation, 22, 3, (2009)
  • [6] YU Xinhua, TAN Zhiming, HU Honglong, Et al., Rutting equivalent temperature for asphalt pavement [J], Journal of Tongji University(Natural Science), 42, 5, (2014)
  • [7] LI Yi, LIU Liping, SUN Lijun, Predition model on rutting equivalent temperature for asphalt pavement at different depth, Journal of Jilin University(Engineering and Technology Edition), 48, 6, (2018)
  • [8] SOTIL A., Use of the dynamic modulus E test as permanent deformation performance criteria for asphalt pavement systems, (2005)
  • [9] ZHU T, MA T, HUANG X., Calculation of effective temperature for pavement rutting using numerical simulation methods [J], Journal of Southeast University (English Edition), 32, 3, (2016)
  • [10] SU Kai, SUN Lijun, Discussion of methods for determining effective temperature of rutting, Journal of Dalin University of Technology, S1, (2006)
123