Sciences in Cold and Arid Regions ›› 2022, Vol. 14 ›› Issue (3): 173-181.doi: 10.3724/SP.J.1226.2022.21093.

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Study on the temperature characteristic and high temperature risk of asphalt layer of Beijing-Xinjiang Expressway Wutong Daquan to Yiwu Section

Xing Long1,XiaoYang Yu2,Kai Jing1,Liang Sun1,ZhiYun Liu2()   

  1. 1.China Railway Construction Investment Group Co. Ltd. , Urumqi, Xinjiang 830017, China
    2.College of Geology Engineering and Geomatics, Chang'an University, Xi'an, Shaanxi 710054, China
  • Received:2021-12-14 Accepted:2022-04-18 Online:2022-06-30 Published:2022-07-04
  • Contact: ZhiYun Liu
  • Supported by:
    the China Railway Construction Group Scientific Research and Development Project(ZTJ2021WBXKYKT);Natural Science Foundation of Shaanxi Province(2022JM143);the Fundamental Research Funds for the Central Universities, CHD(300102262104);the National Science Foundation of China(41502292)


High temperature rutting is a typical highway damage in Xinjiang, China, and its trigger process usually has a close relationship with characteristics of road temperature distribution. A numerical model of earth-atmosphere coupling heat transfer on a typical section of the Beijing-Xinjiang Expressway (G7) from Wutong Daquan to Yiwu was established in this work. Spatiotemporal characteristics of pavement structure layer temperature distribution, frequency and duration times of road surface high temperature from May 1 to September 30 are statistically studied. The effects of wind speed, weather and air temperature on asphalt layer and pavement temperature are analyzed. The results show that: (1) Spatial and temporal temperature distribution characteristics of pavement structural layers are greatly affected by the coupled earth-atmosphere heat transfer process. Surface temperature increases along the airflow direction and daily temperature variation of the pavement structure layer decreases with an increase of depth. (2) G7 expressway will face the challenge of high rutting damage. The proportion of temperature higher than 50 °C for pavement surface and asphalt upper layer both exceeds 50% and high temperature of road lasts for more than six hours in numerous days. (3) High temperatures of asphalt pavement are usually associated with low ambient wind speeds, while the wind flow has little cooling effect when the road surface temperature is relative high. Weather conditions have a significant impact on temperature of the road surface. The probability of high temperature in sunny days is obviously higher than other weather conditions. (4) Pavement temperature rises as air temperature rises. When air temperature is higher than 30 °C, the proportion of pavement daily maximum temperature over softening point reaches up to 78%.

Key words: Beijing-Xinjiang Expressway, asphalt surface, temperature distribution characteristics, high temperature risk, earth-atmosphere coupling numerical model

Table 1

Thermophysical parameters"

Thermophysical parametersSurface layerCement-stabilized aggregate layerSiltGravelSandRoadbed fill
Upper layerLower layer
λ (W/(m·K))1.302.49251.
CP (J/(kg·K))1,0007008001,5008007301,098
ρ (kg/m3)2,3002,3002,2001,9202,0001,7001,980

Figure 1

Roadbed model schematic diagram"

Figure 2

Temperature, convective heat transfer coefficient of the pavement and air temperature 5 cm above the pavement along the road cross section"

Figure 3

Temperature variations of center hole in depth direction for different time"

Figure 4

Daily maximum temperature variations of pavement and asphalt upper layer from May 1 to September 30"

Figure 5

Frequency of daily maximum temperatures of the pavement and asphalt upper layer in different temperature intervals"

Figure 6

Statistical day numbers of pavement temperatures between 50-60 °C and above 60 °C for different daily duration hour"

Figure 7

Cumulative frequency of maximum daily temperatures of pavement and asphalt upper layer at different wind scales"

Figure 8

Cumulative frequencies of maximum daily temperatures of pavement and asphalt upper layer in different weather conditions"

Table 2

Maximum road temperature under different weather and air temperature conditions"

DateWeatherTair-max (°C)Tpavement-max (°C)
Jul. 18Sunny3573
May 8Sunny2242
Aug. 19Cloudy3752
Sep. 27Cloudy2138
Jun. 15Cloudy to Sunny3463
Sep. 21Cloudy to Sunny2039

Figure 9

Variation curves of pavement temperature in one day"

Figure 10

Cumulative frequency of pavement daily maximum temperature in different temperatures ranges"

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