Wavelet-based approach for structural damage detection

A wavelet-based approach is proposed for structural damage detection and he alth monitoring. Characteristics of representative vibration signals under the wavelet transformation are examined. The methodology is then applied to simulation data generated from a simple structural model subjected to a ha rmonic excitation. The model consists of multiple breakable springs, some o f which may suffer irreversible damage when the response exceeds a threshol d value or the number of cycles of motion is accumulated beyond their fatig ue life. In cases of either abrupt or accumulative damages, occurrence of d amage and the moment when it occurs can be clearly determined in the detail s of the wavelet decomposition of these data. Similar results are observed for the real acceleration data of the seismic response recorded on the roof of a building during the 1971 San Fernando earthquake. Effects of noise in tensity and damage severity are investigated and presented by a detectabili ty map. Results show the great promise of the wavelet approach for damage d etection and structural health monitoring.