南京长江第四大桥钢箱梁铺装层温度影响系数分析

摘要

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％.%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％.