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The Scientific World Journal
Volume 2014 (2014), Article ID 879341, 14 pages
Research Article

Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data

1Department of Aircraft Engineering, Air Force Institute of Technology, Gangshan 820, Taiwan
2Department of Civil Engineering, National Chiao Tung University, Hsinchu 300, Taiwan

Received 27 January 2014; Revised 5 May 2014; Accepted 5 May 2014; Published 3 August 2014

Academic Editor: Ting-Hua Yi

Copyright © 2014 Ming-Chih Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A deterministic-stochastic subspace identification method is adopted and experimentally verified in this study to identify the equivalent single-input-multiple-output system parameters of the discrete-time state equation. The method of damage locating vector (DLV) is then considered for damage detection. A series of shaking table tests using a five-storey steel frame has been conducted. Both single and multiple damage conditions at various locations have been considered. In the system identification analysis, either full or partial observation conditions have been taken into account. It has been shown that the damaged stories can be identified from global responses of the structure to earthquakes if sufficiently observed. In addition to detecting damage(s) with respect to the intact structure, identification of new or extended damages of the as-damaged counterpart has also been studied. This study gives further insights into the scheme in terms of effectiveness, robustness, and limitation for damage localization of frame systems.