A synthetic time-reversal imaging method for structural health monitoring

2004 ◽  
Vol 13 (2) ◽  
pp. 415-423 ◽  
Author(s):  
Chun H Wang ◽  
James T Rose ◽  
Fu-Kuo Chang
2012 ◽  
Vol 24 (2) ◽  
pp. 209-225 ◽  
Author(s):  
Zixue Qiu ◽  
Lei Qiu ◽  
Jiang Yuan ◽  
Guan Lu

Time reversal focusing method has been proved to be an effective method for active Lamb wave–based structural health monitoring. In this article, aiming at developing a practical method for online localization of damage on aircraft composite structures that can take advantage of time reversal focusing and do not rely on the transfer function, a phase synthesis–based time reversal focusing method was proposed. In this method, damage images are given out directly through time reversal focusing, and the other imaging processes such as the delay-and-sum imaging method adopted in many researches of time reversal focusing are not needed. Based on the damage imaging method, a structural health monitoring demonstration system was built on a composite panel of an aircraft wing box with many bolt holes and stiffeners. The demonstrated results show that this method can estimate the positions of damages efficiently with a low sensitivity of group velocity errors and a high antijamming capability.


2009 ◽  
Vol 126 (4) ◽  
pp. 2197
Author(s):  
Joel Harley ◽  
Nicholas O’Donoughue ◽  
José M.F. Moura ◽  
Yuanwei Jin

Signals ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 225-244
Author(s):  
Christos G. Panagiotopoulos ◽  
Georgios E. Stavroulakis

Structural health monitoring problems are studied numerically with the time reversal method (TR). The dynamic output of the structure is applied, time reversed, as an external loading and its propagation within the deformable medium is followed backwards in time. Unknown loading sources or damages can be discovered by means of this method, focused by the reversed signal. The method is theoretically justified by the time-reversibility of the wave equation. Damage identification problems relevant to structural health monitoring for truss and frame structures are studied here. Beam structures are used for the demonstration of the concept, by means of numerical experiments. The influence of the signal-to-noise ratio (SNR) on the results was investigated, since this quantity influences the applicability of the method in real-life cases. The method is promising, in view of the increasing availability of distributed intelligent sensors and actuators.


2010 ◽  
Author(s):  
Joel Harley ◽  
Nicholas O'Donoughue ◽  
Yuanwei Jin ◽  
Jose M. Moura

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