摘要
温度梯度的大小受外界环境如气温、辐射、风雨等因素的影响较为显著,基于大同、宁波、广州三个气象观测站近一年的气象、路面温度等数据的采集分析,引入前一日的太阳辐射数据(Q-1)作为预估模型的参数,提高了前人基于气象参数对水泥混凝土路面日温度梯度最大值的预估模型的精度;采用路面表层温度这一较容易获取的温度数据(包括路表日最高温度Ts,max与路表日最低温度Ts,min)对标准厚度路面的日最大温度梯度进行预估的模型;引进路面温度梯度日振幅ΔTg这一概念,提出路面日温度梯度最小值与日温度梯度最大值之间的指数关系。
Temperature gradient of pavement is significantly affected by external environmental factors such as temperature, radiation, wind, rain and so on. Based on the meteorological and road pavement, temperature data collected from 3 meteorological stations in Datong, Ningbo, Guangzhou over the past year, one new parameter which is solar radiation the day before （ Q_ 1 ） is introduced into the prediction model to improve the accuracy of previous prediction model of diurnal maximum temperature gradient of cement concrete pavement based on meteorological parameters. And pavement surface temperatures （including the pavement surface daily highest temperature Ts, max and the road surface daily lowest temperature Ts, rain ） , the temperature data which can be easily obtained, are used in the model to estimate diurnal maximum temperature gradient of the standard thickness concrete pavement. The concept of diurnal range of temperature gradient （△Tg） is introduced, and the exponential relation between pavement diurnal minimum temperature gradient and maximum temperature gradient is put forward.
出处
《公路交通科技》
CAS
CSCD
北大核心
2015年第1期41-44,共4页
Journal of Highway and Transportation Research and Development
关键词
道路工程
预估模型
气象参数
温度梯度
日极值
水泥混凝土路面.
road engineering
prediction model
meteorological parameter
temperature gradient
diurnal extreme
cement concrete pavement
