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Proceedings Paper

Multi-mode and multi-frequency guided wave imaging via chirp excitations
Author(s): Jennifer E. Michaels; Sang Jun Lee; James S. Hall; Thomas E. Michaels
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Paper Abstract

Guided wave imaging has shown great potential for structural health monitoring applications by providing a way to visualize and characterize structural damage. For successful implementation of delay-and-sum and other elliptical imaging algorithms employing guided ultrasonic waves, some degree of mode purity is required because echoes from undesired modes cause imaging artifacts that obscure damage. But it is also desirable to utilize multiple modes because different modes may exhibit increased sensitivity to different types and orientations of defects. The well-known modetuning effect can be employed to use the same PZT transducers for generating and receiving multiple modes by exciting the transducers with narrowband tone bursts at different frequencies. However, this process is inconvenient and timeconsuming, particularly if extensive signal averaging is required to achieve a satisfactory signal-to-noise ratio. In addition, both acquisition time and data storage requirements may be prohibitive if signals from many narrowband tone burst excitations are measured. In this paper, we utilize a chirp excitation to excite PZT transducers over a broad frequency range to acquire multi-modal data with a single transmission, which can significantly reduce both the measurement time and the quantity of data. Each received signal from a chirp excitation is post-processed to obtain multiple signals corresponding to different narrowband frequency ranges. Narrowband signals with the best mode purity and echo shape are selected and then used to generate multiple images of damage in a target structure. The efficacy of the proposed technique is demonstrated experimentally using an aluminum plate instrumented with a spatially distributed array of piezoelectric sensors and with simulated damage.

Paper Details

Date Published: 1 April 2011
PDF: 11 pages
Proc. SPIE 7984, Health Monitoring of Structural and Biological Systems 2011, 79840I (1 April 2011); doi: 10.1117/12.880963
Show Author Affiliations
Jennifer E. Michaels, Georgia Institute of Technology (United States)
Sang Jun Lee, Georgia Institute of Technology (United States)
James S. Hall, Georgia Institute of Technology (United States)
Thomas E. Michaels, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7984:
Health Monitoring of Structural and Biological Systems 2011
Tribikram Kundu, Editor(s)

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