Analysis and early warning of girder deflections of a steeltruss arch Railway Bridge based on monitoring and FE modeling
The running of high-speed trains puts forward new challenges for the girder deflection of the railway bridge.The behavior analysis and early warning of girder deflections are necessary for the daily operation of the bridge structures.With regard to Nanjing Dashengguan Yangtze River Bridge,the present paper identifies the temperature-induced/train-induced deflections of bridge girder by wavelet transform.The principal components of bridge temperature field are obtained from multi-sensors data.The finite element(FE)model of bridge is updated by the temperature-induced girder deflection,and the effect of temperature-induced deformation on train-induced girder deflections is analyzed using train-bridge dynamic model.The statistical law of the minimum and maximum of the train-induced girder deflection are described using the maximum likelihood estimate of t location-scale distribution.The warning threshold of the girder deflection can be determined by superimposing the temperature-induced girder deflection and the upper and lower threshold of train-induced girder deflection.When the deflection data exceeds the warning thresholds,it indicates abnormal changes of girder deflection,likely due to the extreme operation load,deterioration of track irregularity on the bridge,or damaged bridge components.
Railway bridge Structural health monitoring Girder deflection Temperature Train Early warning
You-Liang Ding Han-Wei Zhao Satish Nagarajaiah Ai-Qun Li
Key Laboratory of C&PC Structures of the Ministry of Education,Southeast University,Nanjing,China Department of Civil and Environmental Engineering,Rice University.,Houston,USA Beijing Advanced Innovation Center for Future Urban Design,Beijing University of Civil Engineering a
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
2353-2359
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）