Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61058
Title: Long-term health monitoring of in-service bridge deck by covariance of covariance matrix of acceleration responses
Authors: Wang, LX
Li, XY
Tan, Y
Law, SS
Keywords: Ambient vibration
Covariance
Damage detection
Inverse problem
Long-term health monitoring
Issue Date: 2015
Publisher: Multi-Science
Source: Advances in structural engineering, 2015, v. 18, no. 12, p. 2129-2149 How to cite?
Journal: Advances in structural engineering 
Abstract: The covariance of covariance (CoC) matrix is formed from the auto/crosscorrelation function of acceleration responses of a structure under white noise ambient excitation. The components are function of the modal parameters of the structure and contain more information on the vibration modes of the structure compared to the general existing methods for extracting the modal parameters. This paper makes use of the CoC matrix and a new pattern match criterion for long-term health monitoring, damage localization and quantification of a five-bay three-dimensional frame structure. A large amount of measured data from an in-service suspension bridge is also analyzed. Only the acceleration responses are required to compute the covariance of covariance matrix. The components of the matrix are analyzed and the effects of the traffic flow and environmental temperature are studied. Finally, a strategy to identify the abnormal state of the bridge is presented based on the properties of the CoC components of the bridge. The CoC matrix is shown suitable for analyzing huge amount of measured data for the output-only structural damage detection without need of an analytical model.
URI: http://hdl.handle.net/10397/61058
ISSN: 1369-4332
EISSN: 2048-4011
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