Time reversal active sensing for health monitoring of a composite plate

The applicability of a time reversal concept in modern acoustics to structural health monitoring was investigated. The time reversal method has been adapted to guided-wave propagation to improve the detectability of local defects in composite plate structures. Specifically, a wavelet-based signal processing technique has been developed to enhance the time reversibility of Lamb wave in thin composite plates. The validity of the proposed method is demonstrated through experimental studies in which input signals exerted at piezoelectric (PZT) patches on a quasi-isotropic composite plate are successfully reconstructed by using the time reversal method. The ultimate goal of this study is to develop a reference-free damage diagnosis technique based on the time reversal process so that defects can be identified without relying on any past baseline data.

[1]  Hoon Sohn,et al.  Damage Detection in Composite Plates by Using an Enhanced Time Reversal Method , 2007 .

[2]  Mathias Fink,et al.  Separation of interfering acoustic scattered signals using the invariants of the time-reversal operator. Application to Lamb waves characterization , 1998 .

[3]  Alexander Sutin,et al.  Sensitive imaging of an elastic nonlinear wave-scattering source in a solid , 2002 .

[4]  Hoon Sohn,et al.  Effects of environmental and operational variability on structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[5]  C. Burrus,et al.  Introduction to Wavelets and Wavelet Transforms: A Primer , 1997 .

[6]  A. Sutin,et al.  Nonlinear Elastic Wave Spectroscopy (NEWS) Techniques to Discern Material Damage, Part I: Nonlinear Wave Modulation Spectroscopy (NWMS) , 2000 .

[7]  Seth Stovack Kessler,et al.  Piezoelectric-based in-situ damage detection of composite materials for structural health monitoring systems , 2002 .

[8]  A. Abbate,et al.  Signal detection and noise suppression using a wavelet transform signal processor: application to ultrasonic flaw detection , 1997, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[9]  Seth S. Kessler,et al.  Experimental Application of Optimized Lamb Wave Actuating/Sensing Patches for Health Monitoring of Composite Structures , 2003 .

[10]  Pankaj K. Das,et al.  Optical Signal Processing , 1991 .

[11]  M. Fink,et al.  Time-reversed Lamb waves , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[12]  Chun H. Wang,et al.  Computerized time-reversal method for structural health monitoring , 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[13]  Truong Q. Nguyen,et al.  Wavelets and filter banks , 1996 .

[14]  K. E.-A. Van Den Abeele,et al.  Nonlinear Elastic Wave Spectroscopy (NEWS) Techniques to Discern Material Damage, Part I: Nonlinear Wave Modulation Spectroscopy (NWMS) , 2000 .

[15]  I. A. Viktorov Rayleigh and Lamb Waves , 1967 .

[16]  Mathias Fink,et al.  Time recompression of dispersive Lamb waves using a time reversal mirror-application to flaw detection in thin plates , 1996, 1996 IEEE Ultrasonics Symposium. Proceedings.

[17]  Chun H. Wang,et al.  Mindlin plate theory for damage detection: Source solutions , 2004 .

[18]  M. Fink Time reversed acoustics , 2001 .

[19]  Mathias Fink,et al.  Theory of the time-reversal process in solids , 1997 .

[20]  Emmanuel Moulin,et al.  Piezoelectric transducer embedded in a composite plate: Application to Lamb wave generation , 1997 .

[21]  Pankaj K. Das Optical Signal Processing: Fundamentals , 1991 .

[22]  Mathias Fink,et al.  Acoustic time-reversal mirrors , 2001 .

[23]  P. Cawley,et al.  A signal regeneration technique for long-range propagation of dispersive Lamb waves , 1993 .

[24]  S. Grondel,et al.  Damage assessment in composites by Lamb waves and wavelet coefficients , 2003 .

[25]  Paul A. Johnson,et al.  Nonlinear Mesoscopic Elasticity: Evidence for a New Class of Materials , 1999 .

[26]  Hoon Sohn,et al.  Wavelet-based active sensing for delamination detection in composite structures , 2004 .