Identification of structural damage using wavelet-based data classification

Bong-Hwan Koh; Min-Joong Jeong; Uk Jung

doi:10.1117/12.774373

8 April 2008 Identification of structural damage using wavelet-based data classification

Bong-Hwan Koh, Min-Joong Jeong, Uk Jung

Proceedings Volume 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008; 69323C (2008) https://doi.org/10.1117/12.774373
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2008, San Diego, California, United States

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.

Citation Download Citation

Bong-Hwan Koh, Min-Joong Jeong, and Uk Jung "Identification of structural damage using wavelet-based data classification", Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 69323C (8 April 2008); https://doi.org/10.1117/12.774373

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KEYWORDS

Wavelets

Signal to noise ratio

Data modeling

Signal processing

Interference (communication)

Palladium

Damage detection

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