Time Reversal Health Monitoring of a Composite Structure using Lamb Waves

Author(s):  
R Gangadharan ◽  
Crl Murthy ◽  
S Gopalakrishnan ◽  
M R Bhat
2010 ◽  
Vol 19 (11) ◽  
pp. 114301 ◽  
Author(s):  
Hai-Yan Zhang ◽  
Ya-Ping Cao ◽  
Xiu-Li Sun ◽  
Xian-Hua Chen ◽  
Jian-Bo Yu

Ultrasonics ◽  
2009 ◽  
Vol 49 (8) ◽  
pp. 696-705 ◽  
Author(s):  
R. Gangadharan ◽  
C.R.L. Murthy ◽  
S. Gopalakrishnan ◽  
M.R. Bhat

2010 ◽  
Vol 27 (10) ◽  
pp. 104301 ◽  
Author(s):  
Zhang Hai-Yan ◽  
Chen Xian-Hua ◽  
Cao Ya-Ping ◽  
Yu Jian-Bo

2011 ◽  
Vol 3 (3) ◽  
pp. 131-142 ◽  
Author(s):  
R. Gangadharan ◽  
C. Murthy ◽  
S. Gopalakrishnan ◽  
M. Bhat

Author(s):  
Francesco Falcetelli ◽  
Nicolas Venturini ◽  
Maria Barroso Romero ◽  
Marcias J Martinez ◽  
Shashank Pant ◽  
...  

Structural Health Monitoring (SHM) aims to shift aircraft maintenance from a time-based to a condition-based approach. Within all the SHM techniques, Acoustic Emission (AE) allows for the monitoring of large areas by analyzing Lamb waves propagating in plate like structures. In this study, the authors proposed a Time Reversal (TR) methodology with the aim of reconstructing an original and unaltered signal from an AE event. Although the TR method has been applied in Narrow-Band (NwB) signal reconstruction, it fails when a Broad-Band (BdB) signal, such as a real AE event, is present. Therefore, a novel methodology based on the use of a Frequencies Compensation Transfer Function (FCTF), which is capable of reconstructing both NwB and real BdB signals, is presented. The study was carried out experimentally using several sensor layouts and materials with two different AE sources: (i) a Numerically Built Broadband (NBB) signal, (ii) a Pencil Lead Break (PLB). The results were validated numerically using Abaqus/CAETM with the implementation of absorbing boundaries to minimize edge reflections.


2009 ◽  
Author(s):  
P. Karthikeyan ◽  
C. Ramdas ◽  
Mahesh C. Bhardwaj ◽  
Krishnan Balasubramaniam ◽  
Donald O. Thompson ◽  
...  

Author(s):  
Michelangelo Maria Malatesta ◽  
Denis Bogomolov ◽  
Marco Messina ◽  
Dennis D’Ippolito ◽  
Nicola Testoni ◽  
...  

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