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Proceedings Paper

Angular velocity-based structural damage detection
Author(s): Yizheng Liao; Anne S. Kiremidjian; Ram Rajagopal; Chin-Hsiung Loh
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Paper Abstract

Damage detection is an important application of structural health monitoring. With the recent development of sensing technology, additional information about structures, angular velocity, has become available. In this paper, the angular velocity signals obtained from gyroscopes are modeled as an autoregressive (AR) model. The damage sensitive features (DSFs) are defined as a function of the AR coefficients. It is found that the mean values of the DSF for the damaged and undamaged signals are different. Also, we show that the angular velocity- based AR model has a linear relationship with the acceleration-based AR model. To test the proposed damage detection method, the algorithm has been tested with the experimental data from a recent shake table test where the damage is introduced systemically. The results indicate that the change of DSF means is statistically significant, and the angular velocity-based DSFs are sensitive to damage.

Paper Details

Date Published: 20 April 2016
PDF: 10 pages
Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 98031N (20 April 2016); doi: 10.1117/12.2219398
Show Author Affiliations
Yizheng Liao, Stanford Univ. (United States)
Anne S. Kiremidjian, Stanford Univ. (United States)
Ram Rajagopal, Stanford Univ. (United States)
Chin-Hsiung Loh, National Taiwan Univ. (Taiwan)


Published in SPIE Proceedings Vol. 9803:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016
Jerome P. Lynch, Editor(s)

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