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
Link To Document :
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