摘要
甘肃省沥青路面冬季易出现低温开裂与凝冰现象,严重影响冬季沥青路面的使用性能和安全.根据甘肃渭源地区冬季现场实测的气象数据和路面结构内部温度,研究沥青路面低温温度场的分布规律;利用统计方法对影响沥青路面温度场的环境因素进行相关性分析,确定气温与辐射对沥青路面结构内部温度影响的累积和滞后时间;基于多因素逐步回归分析,提出适用于该地区的冬季沥青路面温度场预估模型.结果表明,随着路面深度的增加,路面结构内部温度呈现减小的趋势,气温和太阳辐射强度对路面结构内部温度累积和滞后影响越来越显著;将时间与路面深度作为误差修正因素引入沥青路面温度场预估模型中,可准确预估冬季沥青路面温度场的变化.
The phenomenon of low temperature cracking and freezing is easy to appear in the asphalt pavement of Gansu Province,which seriously affects the performance and safety of asphalt pavement in winter.The distribution law of the low temperature field of asphalt pavement was studied according to the weather data and the internal temperature of the pavement structure in Weiyuan area of Gansu Province.The cumulative and lag time of temperature and radiation that influence the asphalt pavement structure were determined by using statistical methods,and the correlation analysis of environmental factors that affected temperature field of asphalt pavement were carried out.The pavement temperature field prediction model suitable for Weiyuan area in winter was proposed based on the multi-factor stepwise regression analysis.The results show that the temperature of pavement structure change shows a decreasing trend with the increase of pavement depth.The influence of temperature and solar radiation on the temperature accumulation and lag of pavement structure is more and more obvious.The temperature model in the depth of pavement structure is improved when taking the time and depth as the error correction factor into the prediction model of asphalt pavement temperature field,which can accurately simulate the change of asphalt pavement temperature field in winter.
作者
李萍
念腾飞
刘洋
张国宏
张影会
LI Ping;NIAN Tengfei;LIU Yang;ZHANG Guohong;ZHANG Yinghui(School of Civil Engineering,Lanzhou University of Technology,Lanzhou 730050,China;Gansu Changlong Highway Maintenance Technology Institute Co.,LTD.,Lanzhou 730000,China)
出处
《应用基础与工程科学学报》
EI
CSCD
北大核心
2020年第4期865-877,共13页
Journal of Basic Science and Engineering
基金
国家自然科学基金项目(51668041)
关键词
道路工程
沥青路面
实测数据
低温温度场
预估模型
回归分析
皮尔森相关系数
修正因素
road engineering
asphalt pavement
measured data
low-temperature field
prediction model
regression analysis
pearson correlation coefficient
correction factor