Time Reversal of Lamb Waves for Damage Detection in Thermoplastic Composites

The objective of this study is to evaluate the use of correlation methods as a damage detection criterion in the application of the Time Reversal of Lamb Waves (TRLW) approach. The dispersion and attenuation characteristics of the waves are used for determining the maximum area to be inspected in a two transducers configuration. The Finite Element (FE) Model and experimental data are compared for verification of the method. The experimental setup consisted of a pair of piezoelectric transducers, working both as actuator and sensors, separated by a predetermined distance. Different defect sizes and positions with respect to the transducers were introduced on both aluminum and thermoplastic composite plates. A waveform generator was used to excite the piezoelectric actuators. An oscilloscope was used for acquiring the signals from the transducers. Those signals were processed in Matlab TM for the application of time reversal and a correlation analysis. The damage consisted of a hole through the thickness varying its diameter and location. The FEM simulates the propagation of Lamb waves in aluminum plates in order to analyze TRLW for damage detection. Lamb waves were generated using a 5 cycle Hanning window at different frequencies. The FEM consisted of standard 3D elements (C3D8I) for the plates and PZT elements (C3D8E) for the transducers. In order to simplify the model the PZTs were assumed to be perfectly bonded to the plates. The FEM analysis was mainly focused on the S 0 -wave. The indication of the presence of damage is performed using the correlation between the original actuation and the time reversed signal.

[1]  Ratneshwar Jha,et al.  A modified time reversal method for Lamb wave based diagnostics of composite structures , 2012 .

[2]  P. M. Mujumdar,et al.  Damage detection in a woven-fabric composite laminate using time-reversed Lamb wave , 2012 .

[3]  Liang Chen,et al.  FEM simulation for Lamb wave evaluate the defects of plates , 2012, The 2012 International Workshop on Microwave and Millimeter Wave Circuits and System Technology.

[4]  Tadeusz Uhl,et al.  Self-focusing Lamb waves based on the decomposition of the time-reversal operator using time–frequency representation , 2012 .

[5]  Sridhar Krishnaswamy,et al.  Adaptive Fiber Bragg Grating Sensor Network for Structural Health Monitoring: Applications to Impact Monitoring , 2011 .

[6]  H. Sohn,et al.  Understanding a time reversal process in Lamb wave propagation , 2009 .

[7]  Z. Su,et al.  Identification of Damage Using Lamb Waves , 2009 .

[8]  Christian Boller,et al.  Fatigue in aerostructures—where structural health monitoring can contribute to a complex subject , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[9]  Costas Soutis,et al.  Real-time nondestructive evaluation of fiber composite laminates using low-frequency Lamb waves. , 2002, The Journal of the Acoustical Society of America.

[10]  J. Rose Ultrasonic Waves in Solid Media , 1999 .

[11]  Paul D. Wilcox,et al.  Mode and Transducer Selection for Long Range Lamb Wave Inspection , 1999 .

[12]  M. Fink,et al.  Time reversal of ultrasonic fields. I. Basic principles , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[13]  Herbert Sachs,et al.  The Physics of Time Reversal , 1987 .

[14]  H. Lamb On waves in an elastic plate , 1917 .