中南大学学报（自然科学版）2013，Vol.44Issue(4)：1647-1656,10.
沥青路面温度场分布规律与理论经验预估模型
Temperature distribution and method-experience prediction model of asphalt pavement
摘要
Abstract
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.关键词
沥青路面/温度场/现场试验/量纲分析/预估模型Key words
asphalt pavement/ temperature field/ field test/ dimensional analysis/ prediction model分类
交通工程引用本文复制引用
陈嘉祺,罗苏平,李亮,但汉成,赵炼恒..沥青路面温度场分布规律与理论经验预估模型[J].中南大学学报（自然科学版）,2013,44(4):1647-1656,10.基金项目
中央高校基本科研业务费专项资金项目(2012zzts019) （2012zzts019）
海南省交通科技重点项目(JT20090898002) （JT20090898002）
海南省自然科学基金资助项目(ZDFD20120699) （ZDFD20120699）
