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Proceedings Paper

Identification of structural damage using wavelet-based data classification
Author(s): Bong-Hwan Koh; Min-Joong Jeong; Uk Jung
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Paper Abstract

Predicted time-history responses from a finite-element (FE) model provide a baseline map where damage locations are clustered and classified by extracted damage-sensitive wavelet coefficients such as vertical energy threshold (VET) positions having large silhouette statistics. Likewise, the measured data from damaged structure are also decomposed and rearranged according to the most dominant positions of wavelet coefficients. Having projected the coefficients to the baseline map, the true localization of damage can be identified by investigating the level of closeness between the measurement and predictions. The statistical confidence of baseline map improves as the number of prediction cases increases. The simulation results of damage detection in a truss structure show that the approach proposed in this study can be successfully applied for locating structural damage even in the presence of a considerable amount of process and measurement noise.

Paper Details

Date Published: 8 April 2008
PDF: 8 pages
Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 69323C (8 April 2008); doi: 10.1117/12.774373
Show Author Affiliations
Bong-Hwan Koh, Dongguk Univ. (South Korea)
Min-Joong Jeong, Korea Institute of Science and Technology Information (South Korea)
Uk Jung, Dongguk Univ. (South Korea)

Published in SPIE Proceedings Vol. 6932:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008
Masayoshi Tomizuka, Editor(s)

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