Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6757
Title: Generalization of the statistical moment-based damage detection method
Authors: Zhang, J
Xu, YL 
Xia, Y 
Li, J
Keywords: Building structures
Damage location
Damage severity
Incomplete measurements
Measurement noise
Random excitation
Statistical moments
Issue Date: 2011
Publisher: Techno Press
Source: Structural engineering and mechanics, 2011, v. 38, no. 6, p. 715-732 How to cite?
Journal: Structural engineering and mechanics 
Abstract: A novel structural damage detection method with a new damage index has been recently proposed by the authors based on the statistical moments of dynamic responses of shear building structures subject to white noise ground motion. The statistical moment-based damage detection (SMBDD) method is theoretically extended in this paper with general application. The generalized SMBDD method is more versatile and can identify damage locations and damage severities of many types of building structures under various external excitations. In particular, the incomplete measurements can be considered by the proposed method without mode shape expansion or model reduction. Various damage scenarios of two general forms of building structures with incomplete measurements are investigated in consideration of different excitations. The effects of measurement noise are also investigated. The damage locations and damage severities are correctly identified even when a high noise level of 15% and incomplete measurements are considered. The effectiveness and versatility of the generalized SMBDD method are demonstrated.
URI: http://hdl.handle.net/10397/6757
ISSN: 1225-4568
EISSN: 1598-6217
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