Abstract
Based on the field data collected from a self-developed experimental pavement system, temperature distribution of asphalt pavement in seasonally frozen regions in winter was studied. Based on the collected data, the prediction model for pavement temperature distribution in this area was proposed with regression analysis. The measured and predicted temperatures were compared. The results indicate that the temperature of pavement in winter rises gradually and change of temperature difference decreases gradually with the increase in depth, and there exist constant temperature points of days at the depth of 30 cm; when temperature changes suddenly, the greater temperature gradient changes occur at surface layer; the maximum freezing depth in winter of Harbin is about 180 cm. The presented model has good applicability and accuracy.
| Original language | English |
|---|---|
| Pages (from-to) | 7-14 |
| Number of pages | 8 |
| Journal | Zhongguo Gonglu Xuebao/China Journal of Highway and Transport |
| Volume | 26 |
| Issue number | 2 |
| State | Published - Mar 2013 |
| Externally published | Yes |
Keywords
- Asphalt pavement
- Prediction model
- Regression analysis
- Road engineering
- Seasonally frozen region
- Temperature field
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