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Proceedings Paper

Analysis of traffic-induced vibration and damage detection by blind source separation with application to bridge monitoring
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Paper Abstract

The objective of this study is to demonstrate the application of two different system identification methods on the structural health monitoring of a bridge. The numerical simulation of bridge-vehicle interaction with road surface roughness is considered in this study for system identification. To identify the bridge dynamic characteristics Covariance-driven Stochastic Subspace Identification method (SSI-COV) in cooperated with Wavelet Packet Transform (WPT) decomposition are used to extract the natural frequencies and mode shapes of the system. For comparison, a popular blind source separation technique called Second Order Blind Identification (SOBI) is also used. Comparison between these two different identification methods is discussed. It was demonstrated that the bridge natural frequencies can be identified by the proposed two system identification techniques. Besides, the SOBI algorithm can avoid the difficulty of determining of parameters by using SSI-COV algorithm, such as system order, row of Hankel matrix, etc. Finally, a damage scenario of the bridge structure is provided and damage detection algorithms are also proposed to quantify and locate the damage.

Paper Details

Date Published: 27 March 2015
PDF: 14 pages
Proc. SPIE 9435, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015, 94350C (27 March 2015); doi: 10.1117/12.2084084
Show Author Affiliations
Sheng-Fu Chen, National Taiwan Univ. (Taiwan)
Tzu-Yun Hung, National Taiwan Univ. (Taiwan)
Chin-Hsiung Loh, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 9435:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015
Jerome P. Lynch, Editor(s)

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