Share Email Print
cover

Proceedings Paper

Ultrasonic sensing and time-frequency analysis for detecting plastic deformation in an aluminum plate
Author(s): Lindsey Channels; Debejyo Chakraborty; Donna Simon; Narayan Kovvali; James Spicer; Antonia Papandreou-Suppappola; Douglas Cochran; Pedro Peralta; Aditi Chattopadhyay
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We investigate the use of low frequency (10-70 MHz) laser ultrasound for the detection of fatigue damage. While high frequency ultrasonics have been utilized in earlier work, unlike contacting transducers, laser-based techniques allow for simultaneous interrogation of the longitudinal and shear moduli of the fatigued material. The differential attenuation changes with the degree of damage, indicating the presence of plasticity. In this paper, we describe a structural damage identification approach based on ultrasonic sensing and time-frequency techniques. A parsimonious representation is first constructed for the ultrasonic signals using the modified matching pursuit decomposition (MMPD) method. This decomposition is then employed to compute projections onto the various damage classes, and classification is performed based on the magnitude of these projections. Results are presented for the detection of fatigue damage in Al-6061 and Al-2024 plates tested under 3-point bending.

Paper Details

Date Published: 3 April 2008
PDF: 10 pages
Proc. SPIE 6926, Modeling, Signal Processing, and Control for Smart Structures 2008, 69260P (3 April 2008); doi: 10.1117/12.776625
Show Author Affiliations
Lindsey Channels, Johns Hopkins Univ. (United States)
Debejyo Chakraborty, Arizona State Univ. (United States)
Donna Simon, Arizona State Univ. (United States)
Narayan Kovvali, Arizona State Univ. (United States)
James Spicer, Johns Hopkins Univ. (United States)
Antonia Papandreou-Suppappola, Arizona State Univ. (United States)
Douglas Cochran, Arizona State Univ. (United States)
Pedro Peralta, Arizona State Univ. (United States)
Aditi Chattopadhyay, Arizona State Univ. (United States)


Published in SPIE Proceedings Vol. 6926:
Modeling, Signal Processing, and Control for Smart Structures 2008
Douglas K. Lindner, Editor(s)

© SPIE. Terms of Use
Back to Top