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http://dx.doi.org/10.12989/sem.2008.30.4.445

A new statistical moment-based structural damage detection method  

Zhang, J. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University)
Xu, Y.L. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University)
Xia, Y. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University)
Li, J. (Department of Building Engineering, Tongji University)
Publication Information
Structural Engineering and Mechanics / v.30, no.4, 2008 , pp. 445-466 More about this Journal
Abstract
This paper presents a novel structural damage detection method with a new damage index based on the statistical moments of dynamic responses of a structure under a random excitation. After a brief introduction to statistical moment theory, the principle of the new method is put forward in terms of a single-degree-of-freedom (SDOF) system. The sensitivity of statistical moment to structural damage is discussed for various types of structural responses and different orders of statistical moment. The formulae for statistical moment-based damage detection are derived. The effect of measurement noise on damage detection is ascertained. The new damage index and the proposed statistical moment-based damage detection method are then extended to multi-degree-of-freedom (MDOF) systems with resort to the leastsquares method. As numerical studies, the proposed method is applied to both single and multi-story shear buildings. Numerical results show that the fourth-order statistical moment of story drifts is a more sensitive indicator to structural stiffness reduction than the natural frequencies, the second order moment of story drift, and the fourth-order moments of velocity and acceleration responses of the shear building. The fourth-order statistical moment of story drifts can be used to accurately identify both location and severity of structural stiffness reduction of the shear building. Furthermore, a significant advantage of the proposed damage detection method lies in that it is insensitive to measurement noise.
Keywords
damage detection; statistical moment; sensitivity; measurement noise;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
Times Cited By Web Of Science : 5  (Related Records In Web of Science)
Times Cited By SCOPUS : 5
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