Abstract
In order to explore the distribution law of asphalt pavement temperature, based on the Nanjing to Yancheng(Ning-yan) Expressway in Jiangsu Province, and obtain the meteorological environment data of the expressway, temperature sensors are buried at different depths of the asphalt pavement to continuously track the temperature at different depths of the asphalt pavement and the atmospheric temperature. The relationship between pavement temperature and meteorology at different depths was analyzed. According to the pavement depth, a temperature prediction model suitable for asphalt surface layer was established, and the model predicted temperature was compared with the measured temperature.The results show that the temperature-time distribution of asphalt pavement surface has a significant periodicity, which is an approximate sine function curve. In the error range of ± 1 ℃, the accuracy of the asphalt surface temperature prediction model is 64.1 %.
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