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Proceedings Paper

Damage detection of a prototype building structure under shaking table testing using outlier analysis
Author(s): Ji-Hyun Hwang; Bong-Chul Joo; Young-Jun Yoo; Ki-Tae Park; Chin-Hyung Lee
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Paper Abstract

The civil engineering community is becoming increasingly interested in monitoring structural behavior of civil infrastructure and in evaluation of the structural performance. The demand has largely been driven by deficiencies in structural performance due to the aging of the infrastructure, excessive loading, and natural disasters such as an earthquake, a landslide, a typhoon and a tsunami. In this study, a structural health monitoring methodology using acceleration responses is proposed for damage detection of a three-story prototype building structure during shaking table testing. A damage index is developed using the acceleration data and applied to outlier analysis, one of unsupervised learning based pattern recognition methods. A threshold value for the outlier analysis is determined based on confidence level of the probabilistic distribution of the acceleration data. The probabilistic distribution is selected according to the feature of the collected data.

Paper Details

Date Published: 17 April 2013
PDF: 6 pages
Proc. SPIE 8695, Health Monitoring of Structural and Biological Systems 2013, 86953H (17 April 2013); doi: 10.1117/12.2013198
Show Author Affiliations
Ji-Hyun Hwang, Korea Institute of Construction Technology (Korea, Republic of)
Bong-Chul Joo, Korea Institute of Construction Technology (Korea, Republic of)
Young-Jun Yoo, Korea Institute of Construction Technology (Korea, Republic of)
Ki-Tae Park, Korea Institute of Construction Technology (Korea, Republic of)
Chin-Hyung Lee, Korea Institute of Construction Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 8695:
Health Monitoring of Structural and Biological Systems 2013
Tribikram Kundu, Editor(s)

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