TY - GEN
T1 - Ultrasonic sensing and time-frequency analysis for detecting plastic deformation in an aluminum plate
AU - Channels, Lindsey
AU - Chakraborty, Debejyo
AU - Simon, Donna
AU - Kovvali, Narayan
AU - Spicer, James
AU - Papandreou-Suppappola, Antonia
AU - Cochran, Douglas
AU - Peralta, Pedro
AU - Chattopadhyay, Aditi
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Damage detection
KW - Matching pursuit decomposition
KW - Structural health monitoring
KW - Time-frequency analysis
KW - Ultrasonic sensing
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U2 - 10.1117/12.776625
DO - 10.1117/12.776625
M3 - Conference contribution
AN - SCOPUS:44349162399
SN - 9780819471123
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Modeling, Signal Processing, and Control for Smart Structures 2008
T2 - Modeling, Signal Processing, and Control for Smart Structures 2008
Y2 - 10 March 2008 through 12 March 2008
ER -