| 南京长江第四大桥钢箱梁铺装层温度影响系数分析 |
| |
| 引用本文： | 雷笑,王杰,章登精,吉伯海,谢发祥.南京长江第四大桥钢箱梁铺装层温度影响系数分析[J].河海大学学报(自然科学版),2018,46(1):90-94. |
| |
| 作者姓名： | 雷笑 王杰 章登精 吉伯海 谢发祥 |
| |
| 作者单位： | 河海大学土木与交通学院;南京市公共工程建设中心; |
| |
| 基金项目： | 国家自然科学基金(51678216)；国家自然科学基金青年基金(51108152) |
| |
| 摘 要： | 为了减少现有的钢桥面铺装层车辙深度预估的误差,提出基于长期实测数据的钢桥面铺装车辙评估模型的温度影响系数计算公式。首先对南京长江第四大桥的实测温度概率统计后采用双高斯函数表征其分布;在此基础上修正了现有车辙评估模型中的温度影响系数公式,并利用车辙实测数据对车辙评估模型计算值进行验证。研究结果表明:钢箱梁复合浇筑式铺装层温度可通过双高斯分布描述其概率分布;计入温度影响系数的车辙深度与实际车辙值之间误差较小,相对误差为15.2%。
|
| 关 键 词： | 钢箱梁 铺装层 温度分布 温度影响系数 双高斯分布 车辙深度 南京长江第四大桥 |
Analysis on the temperature influence coefficient of the Fourth Nanjing Yangtze Bridge Pavement |
| |
| LEI Xiao,WANG Jie,ZHANG Dengjing,JI Bohai and XIE Faxiang.Analysis on the temperature influence coefficient of the Fourth Nanjing Yangtze Bridge Pavement[J].Journal of Hohai University (Natural Sciences ),2018,46(1):90-94. |
| |
| Authors: | LEI Xiao WANG Jie ZHANG Dengjing JI Bohai and XIE Faxiang |
| |
| Institution: | College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China,College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China,Nanjing public project construction center, Nanjing 210046, China,College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China and College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China |
| |
| Abstract: | A temperature influence coefficient for the rutting evaluation model of steel bridge deck pavement based on the double-Gaussian distribution was developed to reduce the error of the rut depth evaluation of the Forth Nanjing Yangtze Bridge. First, the double-Gaussian distribution was employed to analyze the monitoring temperature of the Forth Nanjing Yangtze Bridge. Then, the formula of the temperature influence coefficient for the rutting evaluation model was modified, and the calculated value of rutting evaluation model was compared with the measured one. The results show that the temperature of the asphalt pavement of a steel box girder can be described by the double-Gaussian distribution. The difference is very small between the rutting prediction value considering the temperature influence coefficient and the monitoring rutting data, while the relative error is 15. 2%. |
| |
| Keywords: | steel box girder pavements temperature distribution temperature influence coefficient double-Gaussian distribution rut depth the Fourth Nanjing Yangtze bridge |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《河海大学学报(自然科学版)》浏览原始摘要信息 |
| 点击此处可从《河海大学学报(自然科学版)》下载免费的PDF全文 |
|
