Damage visualization via beamforming of frequency-wavenumber filtered wavefield data

Massimo Ruzzene; Buli Xu; Sang Jun Lee; Thomas E. Michaels; Jennifer E. Michaels

doi:10.1117/12.847851

8 April 2010 Damage visualization via beamforming of frequency-wavenumber filtered wavefield data

Massimo Ruzzene, Buli Xu, Sang Jun Lee, Thomas E. Michaels, Jennifer E. Michaels

Proceedings Volume 7650, Health Monitoring of Structural and Biological Systems 2010; 76500L (2010) https://doi.org/10.1117/12.847851
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2010, San Diego, California, United States

Abstract

The development of effective damage imaging and characterization tools is a challenging task because of the dispersive and multi-modal nature of Lamb waves. An additional problem is the need for baseline data that is required by a number of existing techniques. This paper presents the development of imaging algorithms applied to filtered wavefield data received from piezoelectric disc sources. Frequency-wavenumber filtering is used to separate incident/backscattered waves and individual wave modes. Filtered data are provided as input to imaging algorithms that detect damage and estimate its location. The implementation of incident and backscattered waves separation procedures avoids the need for a baseline, while mode separation permits the analysis of modes that are most sensitive to damage. The proposed algorithm is verified experimentally for damage detection on an aluminum plate.

Citation Download Citation

Massimo Ruzzene, Buli Xu, Sang Jun Lee, Thomas E. Michaels, and Jennifer E. Michaels "Damage visualization via beamforming of frequency-wavenumber filtered wavefield data", Proc. SPIE 7650, Health Monitoring of Structural and Biological Systems 2010, 76500L (8 April 2010); https://doi.org/10.1117/12.847851

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