DocumentCode
2010822
Title
Time reversal and cross-correlation analysis for damage detection in plates using Lamb waves
Author
Haiyan, Zhang ; Yaping, Cao ; Jianbo, Yu ; Xianhua, Chen
Author_Institution
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
fYear
2010
fDate
23-25 Nov. 2010
Firstpage
1516
Lastpage
1520
Abstract
The paper mainly presents the time reversal theory and cross-correlation algorithm to focalize the Lamb wave scattered signals caused by the damage. Time reversal theory has been developed to improve the detection ability of Lamb waves. Cross-correlation of scattered signal envelope with excitation signal envelope is used for damage imaging. Experiments are carried out on an aluminium plate using a transducer network consisting of four identical piezoelectric transducers as actuators and as well sensors for excitation and measurement of Lamb waves. The results show that this method is able to accurately predict damage location and provides an estimation of the possible area even for damage close to one of the transducers or even slightly outside the transducer network.
Keywords
acoustic wave scattering; correlation theory; piezoelectric transducers; plates (structures); signal detection; surface acoustic wave signal processing; surface acoustic wave transducers; surface acoustic waves; ultrasonic imaging; Lamb wave scattered signals; Lamb waves; actuators; aluminium plate; cross-correlation algorithm; cross-correlation analysis; damage detection; damage imaging; damage location prediction; detection ability; excitation signal envelope; identical piezoelectric transducers; scattered signal envelope; time reversal analysis; time reversal theory; transducer network; Acoustics; Actuators; Dispersion; Image reconstruction; Imaging; Sensors; Transducers;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio Language and Image Processing (ICALIP), 2010 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-5856-1
Type
conf
DOI
10.1109/ICALIP.2010.5684547
Filename
5684547
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