Damage Localization of Deterministic-Stochastic Systems
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Damage Localization of Deterministic-Stochastic Systems

Authors: Yen-Po Wang, Ming-Chih Huang, Ming-Lian Chang

Abstract:

A scheme integrated with deterministic–stochastic subspace system identification and the method of damage localization vector is proposed in this study for damage detection of structures based on seismic response data. A series of shaking table tests using a five-storey steel frame has been conducted in National Center for Research on Earthquake Engineering (NCREE), Taiwan. Damage condition is simulated by reducing the cross-sectional area of some of the columns at the bottom. Both single and combinations of 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 (ill-conditioned) counterpart has also been studied. The proposed scheme proves to be effective.

Keywords: Damage locating vectors, deterministic-stochastic subspace system, shaking table tests, system identification.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1092401

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References:


[1] Pandey, A. K. and Biswas, M., Damage Detection in Structures Using Changes in Flexibility, Journal of Sound and Vibration, 169, 1994, pp 3-17.
[2] D.Bernal, "Load Vector for Damage Localization,” Journal of Engineering Mechanics, ASCE, 128(1), 2002, pp. 7-14.
[3] D.Bernal, "Flexibility-Based Damage Localization from Stochastic Realization Results,” Journal of Engineering Mechanics, ASCE, 132(6), 2006, pp. 651-658.
[4] J.N.Juang, "System Realization Using Information Matrix,” Journal of Guidance, Control and Dynamics, 20, 197, pp. 492-500.
[5] B.De Moor, "Mathematical Concepts and Techniques for Modeling of Static and Dynamic System,” Doctoral Dissertation Department of Electrical Engineering, Katholieke Universiteit Leuven, Dept. E.E. Belgium, 1988.
[6] Y.T. Lin, ”Experimental Verification of Damage Localization of Output-Only Structural Systems Using Seismic Response Data,” Master Thesis Department of Civil Engineering, National Chiao-Tung University, Hsinchu, Taiwan, 2012.
[7] G. Huang, "Application of Wireless Sensing Technology for Damage Detection of Output-Only Structural Systems,”Master Thesis Department of Civil Engineering, National Chiao-Tung University, Hsinchu, Taiwan, 2012.
[8] P. Van Overschee and B. De Moor, "Subspace Identification for Linear Systems: Theory Implementation Applications,” Kluwer Academic Publishers, Dordrecht, the Netherlands.
[9] H. Akaike, "Markovian Representation of Stochastic Processes by Canonical Variables, ” Siam J. Control, 13(1), 1995, pp. 162-173.
[10] P.Faure, "Stochastic Realization Algorithms, ” System Identification: Advances and Case Studies(Eds.) Mehra R., Lainiotis D., Academic Press, 1976.
[11] P.Van Overschee and B.De Moor, "N4SID: Subspace Algorithms for the Identification of Combined Deterministic-Stochastic Systems,” Automatica, Special Issue on Statistical Signal Processing and Control, 30(1), 1994, pp. 75-93.