东南大学学报（英文版）2021，Vol.37Issue(4)：421-428,8.DOI:10.3969/j.issn.1003-7985.2021.04.012
基于因子分析方法的沥青路面车辙影响因素及预估模型
Rutting influencing factors and prediction model for asphalt pavements based on the factor analysis method
摘要
Abstract
To clarify the importance of various influencing factors on asphalt pavement rutting deformation and determine a screening method of model indicators,the data of the RIOHTrack full-scale track were examined using the factor analysis method (FAM).Taking the standard test pavement structure of RIOHTrack as an example,four rutting influencing factors from different aspects were determined through statistical analysis.Furthermore,the common influencing factors among the rutting influencing factors were studied based on FAM.Results show that the common factor can well characterize accumulative ESALs,center-point deflection,and temperature,besides humidity,which indicates that these three influencing factors can have an important impact on rutting.Moreover,an empirical rutting prediction model was established based on the selected influencing factors,which proved to exhibit high prediction accuracy.These analysis results demonstrate that the FAM is an effective screening method for rutting prediction model indicators,which provides a reference for the selection of independent model indicators in other rutting prediction model research when used in other areas and is of great significance for the prediction and control of rutting distress.关键词
沥青路面/车辙预估/影响因素/RIOHTrack足尺环道/因子分析方法Key words
asphalt pavement/rutting prediction/influencing factors/RIOHTrack full-scale track/factor analysis method分类
交通工程引用本文复制引用
刘刚,陈磊磊,钱振东,周夏阳..基于因子分析方法的沥青路面车辙影响因素及预估模型[J].东南大学学报（英文版）,2021,37(4):421-428,8.基金项目
The National Key Research and Development Program of China (No.2018YFB1600300,2018YFB1600304,2018YFB1600305),Postgraduate Research & Practice Innovation Pro-gram of Jiangsu Province (No.KYCX21_0133),the Scientific Re-search Foundation of Graduate School of Southeast University. （No.2018YFB1600300,2018YFB1600304,2018YFB1600305）
