Abstract
The detection of structural damage is an important objective of structural health monitoring systems. Analysis techniques for the damage detection of structures, based on vibration data measured from sensors, have been studied without experimental verifications. In this paper, a newly proposed data analysis method for structural damage identifications, referred to as the adaptive quadratic sum squares error (AQSSE), will be verified experimentally. A series of experimental tests using a scaled 3-story building model have been conducted recently. In the experimental tests, white noise excitations were applied to the top floor of the model, and different damage scenarios were simulated and tested. These experimental data will be used to verify the capability of the AQSSE approach in tracking the structural damage. The tracking results for the stiffness of all stories, based on the AQSSE approach, are compared with the stiffness predicted by the finite-element method. Experimental results demonstrate that the AQSSE approach is capable of tracking the structural damage with reasonable accuracy.
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