全厚式沥青路面温度场预估模型

Translated title of the contribution: Temperature Field Prediction Model for Thick Asphalt Layer

Yi Li, Liping Liu, Lijun Sun*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

The temperature field of asphalt pavement with thick asphalt layer (>30 cm) was analyzed. Based on the cumulative effect of air temperature and solar radiation on pavement temperature, a regression analysis was conducted on the measured pavement temperature from four selected test sites and the obtained meteorological data. The prediction models for different sites were determined as a function of depth, average air temperature and total solar radiation. Then, the cause for the difference between the models at each site was analyzed, and the historical mean monthly air temperatures were incorporated into the model. The model can be applied to the pavement temperature prediction in different areas. The results show that the model has high applicability and high accuracy.

Translated title of the contributionTemperature Field Prediction Model for Thick Asphalt Layer
Original languageChinese
Pages (from-to)377-382
Number of pages6
JournalTongji Daxue Xuebao/Journal of Tongji University
Volume48
Issue number3
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Asphalt pavement
  • Prediction model
  • Regression analysis
  • Temperature field

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