Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18144
Title: Statistical moment-based structural damage detection method in time domain
Authors: Zhang, J
Xu, YL 
Li, J
Xia, Y 
Li, JC
Keywords: Damage detection
Statistical moment
Time domain
Non-Gaussian
Non-stationary
Experimental investigation
Issue Date: 2013
Publisher: 中国学术期刊(光盘版)电子杂志社
Source: 地震工程與工程振動 (Earthquake engineering and engineering vibration), 2013, v. 12, no. 1, p. 13-23 How to cite?
Journal: 地震工程與工程振動 (Earthquake engineering and engineering vibration) 
Abstract: A novel structural damage detection method with a new damage index, i.e., the statistical moment-based damage detection (SMBDD) method in the frequency domain, has been recently proposed. The aim of this study is to extend the SMBDD method in the frequency domain to the time domain for building structures subjected to non-Gaussian and non-stationary excitations. The applicability and effectiveness of the SMBDD method in the time domainis verified both numerically and experimentally. Shear buildings with various damage scenarios are first numerically investigated in the time domain taking into account the effect of measurement noise. The applicability of the proposed method in the time domain to building structures subjected to non-Gaussian and non-stationary excitations is then experimentally investigated through a series of shaking table tests, in which two three-story shear building models with four damage scenarios aretested. The identified damage locations and severities are then compared with the preset values. The comparative results are found to be satisfactory, and the SMBDD method is shown to be feasible and effective for building structures subjected to non-Gaussian and non-stationary excitations.
URI: http://hdl.handle.net/10397/18144
ISSN: 1000-1301
DOI: 10.1007/s11803-012-0147-8
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