沥青路面温度场分布规律与理论经验预估模型

摘要

In order to predict asphalt pavement temperature in the natural environment, the key factors of pavement temperature were determined based on the principle of heat transfer solar radiation. The distribution of pavement temperature was analyzed based on the field test results. Further, the method-experience prediction model of pavement surface was established with dimensional analysis by taking correction factors in the model into consideration. Then, the model was used to predict the asphalt pavement temperature distribution in Hainan and analyze the influence of natural factors on pavement temperature. The research results show that when the pavement temperature is predicted with the factors of July, the average relative error of this model in different depths is less than 5%; When the pavement temperature is predicted with the factors of August, December and January, the average relative error of this model in different depths is less than 10%; Maximum relative error generally occurs at low temperature period; Air temperature is the major factor on pavement temperature distribution in the whole day, while solar radiation is the main factor on pavement highest temperature; and the impact of wind speed on pavement temperature can not be neglected.%为预估自然环境下沥青路面温度场,基于传热学原理确定路面温度场的主要影响因素,设计现场试验分析路面温度场分布规律,采用量纲分析结合选取修正系数的方法建立路面温度场的理论-经验预估模型.利用本文模型对海南省沥青路面温度场进行预估,并对影响路面温度场的自然因素进行分析.研究结果表明:用当月(7月份)参数对当月(7月份)路面温度进行预估时,本文预估模型在路面不同深度处的平均相对误差不大于5％,将当月(7月份)参数推广到其他月份(8月份、12月份、1月份)时,本文预估模型在路面不同深度处的平均相对误差不大于10％.最大相对误差一般出现在低温时段,高温时段预估精度相对较高；气温是影响全天路面温度的主要因素,太阳辐射是影响高温时段路面温度的主要因素,风速对路面温度的影响不能忽略.