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作 者:李锋 曹荣吉 吴春颖 刘伟 LI Feng;CAO Rong-ji;WU Chun-yin;LIU Wei(JSTI Group,Nanjing 211112,Jiangsu,China;National Engineering Laboratory for Advanced Road Materials,Nanjing 211112,Jiangsu,China)
机构地区:[1]苏交科集团股份有限公司,江苏南京211112 [2]新型道路材料国家工程实验室,江苏南京211112
出 处:《筑路机械与施工机械化》2020年第12期10-15,共6页Road Machinery & Construction Mechanization
基 金:江苏省交通运输科技项目(2016Y01)。
摘 要:基于钻芯取样的方式,通过汉堡车辙试验实现对既有沥青路面材料的高温性能评价,建立基于汉堡车辙试验的车辙深度预估模型。通过建立国标车辙与汉堡车辙试验的相关性,将已有国标车辙数据转换为汉堡车辙数据,并结合既有路面材料开展的汉堡车辙试验数据进行多元回归,建立了基于温度、荷载、荷载作用次数、厚度4项参数的车辙深度预估模型,并通过验证,表明建立的车辙深度预估模型精度满足要求。Based on the core-drilling sampling method,the high-temperature performance evaluation of existing asphalt pavement materials was realized through Hamburg rutting test,and the rutting depth prediction model was established based on Hamburg rutting test.By establishing the correlation between national standard rutting and the Hamburg rutting test,the existing national standard rutting data were converted into the Hamburger rutting data.Combined with the Hamburg rutting data obtained from existing pavement materials,multiple regression was carried out,and the rutting depth prediction model was established based on temperature,load,load action times,and thickness.The verification showed that the accuracy of the established rutting depth prediction model could meet the requirements.
分 类 号:U414.03[交通运输工程—道路与铁道工程]
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