Factors affecting the imaging of the impact location with inverse filtering and diffuse wave fields

Reciprocal time reversal (inverse filtering) of acousto-ultrasonic fields is a very efficient technique to focus elastic waves through reverberant isotropic and anisotropic media. Such a methodology relies on the correlation of the experimental Green’s function that is acquired by a set of receiver sensors from a limited number of impact sources. However, although heterogeneities and discontinuities within the structural response can be compensated by the inverse filtering process, environmental effects such as temperature variations as well as incoherent noise measurements and the finite number of excitation sources may degrade the quality of time reversal focusing. The scope of this article was to study the factors affecting the impact location imaging using the reciprocal time reversal method in the presence of complex diffuse wave fields. Particularly, a signal-stretch strategy was developed to compensate the temperature changes before remitting the back-propagated wave field at the focus point. Then, in order to investigate the imaging performance and the sensitivity of the proposed methodology, different sets of libraries with reduced input signals were created and tested. Finally, different configurations of the receiver piezoelectric sensors were used to perform the reciprocal time reversal method. To validate this research work, two geometrically complex composite structures, that is, a composite tail rotor blade and a stiffened composite panel, were used. Results showed that both the temperature compensation and the signal processing with the reduced time traced signals and receiver sensors allowed obtaining an accurate identification of the impact events.

[1]  Weaver,et al.  Temperature dependence of diffuse field phase , 1999, Ultrasonics.

[2]  Mickael Tanter,et al.  Correlation of random wavefields: An interdisciplinary review , 2006 .

[3]  Francesco Ciampa,et al.  Nonlinear elastic imaging using reciprocal time reversal and third order symmetry analysis. , 2012, The Journal of the Acoustical Society of America.

[4]  B. E. Anderson,et al.  Three component time reversal: Focusing vector components using a scalar source , 2009 .

[5]  Charles R. Farrar,et al.  The fundamental axioms of structural health monitoring , 2007, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[6]  M. Fink,et al.  Acoustic impact localization in plates: properties and stability to temperature variation , 2007, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[7]  O. Matar,et al.  Time reversed acoustics techniques for elastic imaging in reverberant and nonreverberant media: An experimental study of the chaotic cavity transducer concept , 2011 .

[8]  Ning Hu,et al.  Impact damage monitoring of FRP pressure vessels based on impact force identification , 2014 .

[9]  William J. Caputi,et al.  Stretch: A Time-Transformation Technique , 1971, IEEE Transactions on Aerospace and Electronic Systems.

[10]  S. Salamone,et al.  Temperature effects in ultrasonic Lamb wave structural health monitoring systems. , 2008, The Journal of the Acoustical Society of America.

[11]  J. L. Thomas,et al.  Focusing and steering through absorbing and aberrating layers: application to ultrasonic propagation through the skull. , 1998, The Journal of the Acoustical Society of America.

[12]  Francesco Ciampa,et al.  Impact localization on a composite tail rotor blade using an inverse filtering approach , 2014 .

[13]  Acoustic emission source localization and velocity determination of the fundamental mode A0 using wavelet analysis and a Newton-based optimization technique , 2015 .

[14]  J. Michaels,et al.  A methodology for structural health monitoring with diffuse ultrasonic waves in the presence of temperature variations. , 2005, Ultrasonics.

[15]  Francesco Ciampa,et al.  Acoustic emission localization in complex dissipative anisotropic structures using a one-channel reciprocal time reversal method. , 2011, The Journal of the Acoustical Society of America.

[16]  M. Fink,et al.  In solid localization of finger impacts using acoustic time-reversal process , 2005 .

[17]  Hisao Fukunaga,et al.  An efficient approach for identifying impact force using embedded piezoelectric sensors , 2007 .

[18]  Peter Cawley,et al.  Guided wave health monitoring of complex structures by sparse array systems: Influence of temperature changes on performance , 2010 .

[19]  Gennaro Scarselli,et al.  Nonlinear Imaging Method Using Second Order Phase Symmetry Analysis and Inverse Filtering , 2015 .

[20]  Mathias Fink,et al.  Acoustic source localization model using in-skull reverberation and time reversal , 2007 .

[21]  Nicolò Speciale,et al.  A passive monitoring technique based on dispersion compensation to locate impacts in plate-like structures , 2011 .

[22]  Francesco Ciampa,et al.  Acoustic emission source localization and velocity determination of the fundamental mode A0 using wavelet analysis and a Newton-based optimization technique , 2010 .

[23]  S. Timoshenko,et al.  Theory of elasticity , 1975 .

[24]  Roel Snieder,et al.  Coda Wave Interferometry for Estimating Nonlinear Behavior in Seismic Velocity , 2002, Science.

[25]  Francesco Ciampa,et al.  A new algorithm for acoustic emission localization and flexural group velocity determination in anisotropic structures , 2010 .

[26]  Richard L. Weaver,et al.  On the emergence of the Green's function in the correlations of a diffuse field: pulse-echo using thermal phonons. , 2001, Ultrasonics.

[27]  Francesco Ciampa,et al.  Impact detection in anisotropic materials using a time reversal approach , 2012 .

[28]  N. Hu,et al.  Impact Force Identification of CFRP Structures Using Experimental Transfer Matrices , 2011 .

[29]  Richard L. Weaver,et al.  On diffuse waves in solid media , 1982 .