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

Sheng-Fu Chen; Tzu-Yun Hung; Chin-Hsiung Loh

doi:10.1117/12.2084084

27 March 2015 Analysis of traffic-induced vibration and damage detection by blind source separation with application to bridge monitoring

Sheng-Fu Chen, Tzu-Yun Hung, Chin-Hsiung Loh

Author Affiliations +

Proceedings Volume 9435, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015; 94350C (2015) https://doi.org/10.1117/12.2084084
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2015, San Diego, California, United States

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.

Citation Download Citation

Sheng-Fu Chen, Tzu-Yun Hung, and Chin-Hsiung Loh "Analysis of traffic-induced vibration and damage detection by blind source separation with application to bridge monitoring", Proc. SPIE 9435, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015, 94350C (27 March 2015); https://doi.org/10.1117/12.2084084

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