摘要
根据在沥青路面现场试验段获得的路面温度与气象数据,利用聚类分析和逐步回归的方法优选出可以表征路面内部温度变化规律的基本指标,建立沥青路面内部温度与基本指标的多元回归式。预测值与实测值对比分析表明回归公式具有很高的精度,可用于沥青路面内部温度预测。
According to the monitoring data of the road internal temperature and meteorological in asphalt pavement test section, method of cluster analysis and stepwise regression were utilized for selecting the basic indicators which could characterize the rules of pavement internal temperature and thus establishing the multiple regression equation between basic indicators and asphalt pavement temperature. Comparation of predicted values and measured values showed that the regression formula had a high precision and could be used to forecast the internal temperature of asphalt pavement.
出处
《公路工程》
北大核心
2016年第4期180-183,211,共5页
Highway Engineering
基金
浙江省交通运输厅科技计划项目(2015-2-15)
关键词
沥青路面
内部温度
气象数据
聚类分析
逐步回归
asphalt pavement
internal temperature
meteorological data
cluster analysis
stepwise regression
