AMBIENT VIBRATION ANALYSIS OF A HIGHWAY BRIDGE WITH SUBSPACE METHOD AND FREQUENCY DOMAIN DECOMPOSITION
This paper presents the structural identification of a highway bridge using the vibration measurements from existed structural seismic instrumentation that for long term monitoring of a highway bridge at Utah. As for the damage detection algorithms, one of the subspace identification methods, N4SID is used together with classical frequency domain decomposition method (FDD). These two approaches are found to be able to get frequencies quite satisfactorily. The influence of the temperature on the modal frequencies has been investigated with 13 months monitoring data. The results showed that daily fluctuations as well as seasonal fluctuations of frequencies can be identified by the methods utilized in this study. It can be seen that the extreme temperatures can cause the natural frequencies to shift. Computed through the identification algorithms of this paper, the distributions of the modes at different temperatures are presented.
Highway Bridge Health Monitoring Ambient Vibration Subspace Identification Frequencies Change
Shutao Xing Marvin W. Halling Paul J. Barr Qingli Meng
Dept of Civil and Environmental Engineering, Utah State University, Logan, Utah, USA Dept. of Structural Engineering, Institute of Engineering Mechanics, Harbin, China
国际会议
14th World Conference on Earthquake Engineering(第十四届国际地震工程会议)
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）