沥青路面低温温度场的经验预估模型

为建立更为准确的沥青路面低温温度场预估模型,通过对3种典型沥青路面结构的温度数据进行长期采集,获得了沥青路面的低温温度数据,并引入日最低气温、日太阳辐射量、平均风速和平均湿度参数,建立了沥青路面低温温度场的经验预估模型,并与SHRP模型、C-SHRP模型以及LTPP模型的预估结果进行了对比分析.结果表明:沥青路面的温度变化规律与气温相似,但存在一定的滞后性,且深度越深滞后性越明显;路面最低温度出现在路表,且其值高于最低气温;所建立的沥青路面低温温度场经验预估模型相对于SHRP模型、C-SHRP模型以及LTPP模型具有更好的预估效果.

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.