DAMAGE IDENTIFICATION OF STRUCTURES USING HILBERT-HUANG SPECTRAL ANALYSIS

Abstract eng:
A damage identification approach based on the Hilbert-Huang spectral analysis is proposed and applied to the ASCE structural health monitoring benchmark structure. In this approach, the structural parameters, including stiffness and damping before and after damage are identified based on the noisy measurements of acceleration responses due to white noise excitations. Then the location and severity of the damage are assessed by a comparison. Simulation results demonstrate that the accuracy of the proposed method in identifying the structural damages is very plausible, and it represents a viable damage identification approach for linear structures.

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