GAN Xin-li, JI Xiao-ping, CAO Hai-li, WANG Yan-hai. Empirical Prediction Model of Low-temperature Field of Asphalt Pavement[J]. Journal of Beijing University of Technology, 2015, 41(4): 584-589. DOI: 10.11936/bjutxb2014100058
    Citation: GAN Xin-li, JI Xiao-ping, CAO Hai-li, WANG Yan-hai. Empirical Prediction Model of Low-temperature Field of Asphalt Pavement[J]. Journal of Beijing University of Technology, 2015, 41(4): 584-589. DOI: 10.11936/bjutxb2014100058

    Empirical Prediction Model of Low-temperature Field of Asphalt Pavement

    • To establish a more accurate temperature field model for low temperature of asphalt pavement,the temperature data of three kinds of typical asphalt pavement structure were collected for a long time,and low temperature data of asphalt pavement were obtained. Daily minimum temperature,daily solar radiation,average wind speed and average humidity were introduced,and an experience forecast model of low temperature field of asphalt pavement was established,and it was compared with the SHRP model,the C-SHRP model and the LTPP model. The results show that the temperature change rule is similar to the temperature,which has a certain hysteresis,and the deeper the depth of pavement is,the more obvious the hysteresis is. The lowest temperature appears in the road surface,and its value is higher than that of the lowest air temperature. The established forecast model has a better prediction effect,as compared to the SHRP model,the C-SHRP model and the LTPP model.
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