Structural Damage Detection Using the Hilbert-Huang Transform Method
Great attention has been paid to researches on structural damage detection using structural vibration characteristics. When the damage event occurs, the recorded acceleration data in the vicinity of the damaged location will have a discontinuity at that time instant. Such a discontinuity can be detected through the data analysis techniques, such as the empirical mode decomposition (EMD). By decomposing the vibration signal in the time domain, the discontinuity will form a signal feature, termed damage spike, in the intrinsic mode functions (IMFs). In fact, the spike in the IMFs can be produced by a sudden change of the structural stiffness or the sudden change of the external load. This paper presents an application of Hilbert-Huang Transform (HHT) for damage detection in order to distinguish two kinds of spikes in the IMFs. Whether the structure is damaged could be determined by the instantaneous frequency change before and after the spike time instant in the IMFs. A 4-storey shear-beam building mode simulation results demonstrate the effectiveness of the proposed method. The results showed that damage time instant could be accurately detected in terms of damage spikes extracted directly from the measurement data by EMD and the damage location could be determined by the spatial distribution of the spikes along the building.
Structural damage detection Vibration analysis Damage spike Hilbert-Huang transform Signal processing
Wenzhong Qu Mingxiang Chen Youlin Zeng Yinjun Jiang
Department of Engineering Mechanics, Wuhan University, Wuhan 430072, China
国际会议
南京
英文
293-298
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）