Waveform-Based Selection of Acoustic Emission Events Generated by Damage in Composite Materials

Abstract Acoustic emission (AE) has been shown to be a promising health monitoring technique for composite materials as it allows real-time location and identification of damage. When attempting to relate the recorded acoustic emission to a material׳s mechanical behavior, the relevance of results relies on an accurate selection of AE originating from material damage. Indeed, during mechanical tests most of the recorded AE is generated outside of the volume of interest and without proper filtering these AE signals can significantly affect the analysis. To date, there exists no common procedure for the selection of AE signals and therefore results can hardly be compared or transposed to different composite systems. In the present paper, a new waveform-based procedure is proposed for the selection of AE events generated by damage. The procedure includes accurate localization and selection assessment based on signal energy.

[1]  Renaud Gutkin,et al.  On acoustic emission for failure investigation in CFRP: Pattern recognition and peak frequency analyses , 2011 .

[2]  H. Akaike.  Markovian Representation of Stochastic Processes and Its Application to the Analysis of Autoregressive Moving Average Processes , 1974 .

[3]  Andrew L. Gyekenyesi,et al.  The velocity and attenuation of acoustic emission waves in SiC/SiC composites loaded in tension , 2002 .

[4]  M. G. R. Sause,et al.  Pattern recognition approach to identify natural clusters of acoustic emission signals , 2012, Pattern Recognit. Lett..

[5]  Pascal Reynaud,et al.  Analysis of Acoustic Emission energy release during static fatigue tests at intermediate temperatures on Ceramic Matrix Composites: Towards rupture time prediction , 2012 .

[6]  S. Rokhlin,et al.  Effect of fibre—matrix interphase on wave propagation along, and scattering from, multilayered fibres in composites. Transfer matrix approach , 1995 .

[7]  Y. Watanabe,et al.  Analysis of wave attenuation in unidirectional viscoelastic composites by a differential scheme , 2003 .

[8]  Reinoud Sleeman,et al.  Robust automatic P-phase picking: an on-line implementation in the analysis of broadband seismogram recordings , 1999 .

[9]  D. Thompson,et al.  Review of Progress in Quantitative Nondestructive Evaluation , 1982 .

[10]  Gregory N. Morscher,et al.  Modal acoustic emission of damage accumulation in a woven SiC/SiC composite , 1999 .

[11]  Wolfgang Ludwig,et al.  Fast X-ray tomography and acoustic emission study of damage in metals during continuous tensile tests , 2007 .

[12]  Petr Sedlák,et al.  Acoustic emission localization in thin multi-layer plates using first-arrival determination , 2013 .

[13]  Anisotropy of the frequency-dependent ultrasonic attenuation in unidirectional graphite/epoxy composite material , 1991, IEEE 1991 Ultrasonics Symposium,.

[14]  Pascal Reynaud,et al.  Damage monitoring and identification in SiC/SiC minicomposites using combined acousto-ultrasonics and acoustic emission , 2014 .

[15]  Gregory N. Morscher,et al.  Stress-Dependent Matrix Cracking in 2D Woven Sic-Fiber Reinforced Melt-Infiltrated Sic Matrix Composites , 2013 .

[16]  Pascal Reynaud,et al.  Real-time evaluation of energy attenuation: A novel approach to acoustic emission analysis for damage monitoring of ceramic matrix composites , 2014 .

[17]  Christopher Baker,et al.  Transverse cracking in carbon fiber reinforced polymer composites: Modal acoustic emission and peak frequency analysis , 2015 .