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Hilbert-Huang Based Approach for Structural Damage Detection |
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| Authors: | J N Yang Y Lei S Lin N Huang |
| Affiliation: | 1Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Irvine, CA?92697. 2Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Univ. of California, Irvine, CA?92697. 3Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of California, Irvine, CA?92697. 4Laboratory for Hydrospheric Processes, NASA Goddard Space Flight Center, Greenbelt, MD?20771. |
| Abstract: | When measured data contain damage events of the structure, it is important to extract the information of damage as much as possible from the data. In this paper, two methods are proposed for such a purpose. The first method, based on the empirical mode decomposition (EMD), is intended to extract damage spikes due to a sudden change of structural stiffness from the measured data thereby detecting the damage time instants and damage locations. The second method, based on EMD and Hilbert transform is capable of (1) detecting the damage time instants, and (2) determining the natural frequencies and damping ratios of the structure before and after damage. The two proposed methods are applied to a benchmark problem established by the ASCE Task Group on Structural Health Monitoring. Simulation results demonstrate that the proposed methods provide new and useful tools for the damage detection and evaluation of structures. |
| Keywords: | Damage assessment Structural safety Bench marks Data analysis |