17 April 2013 Damage detection of a prototype building structure under shaking table testing using outlier analysis
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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.
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Ji-Hyun Hwang, Ji-Hyun Hwang, Bong-Chul Joo, Bong-Chul Joo, Young-Jun Yoo, Young-Jun Yoo, Ki-Tae Park, Ki-Tae Park, Chin-Hyung Lee, Chin-Hyung Lee, "Damage detection of a prototype building structure under shaking table testing using outlier analysis", Proc. SPIE 8695, Health Monitoring of Structural and Biological Systems 2013, 86953H (17 April 2013); doi: 10.1117/12.2013198; https://doi.org/10.1117/12.2013198
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