Identification of failure mechanisms of metallised glass fibre reinforced composites under tensile loading using acoustic emission analysis

Njuhovic, E.; Bräu, M.; Wolff‐Fabris, Felipe; Starzynski, K.; Altstädt, Volker

doi:10.1016/j.compositesb.2015.06.018

Cited by 25 publications

(6 citation statements)

References 25 publications

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“…The classification of the AE signals led to define: matrix cracking, delamination at low frequency, fibre/matrix debonding at intermediate frequency and fibre failure and fibre pull-out at high frequency. Njuhovic et al 23 have identified three failure mechanisms of glass fibre-reinforced plastics (GFRP) composites by using a pattern recognition technique. In addition they presented the typical waveform and frequency analysis of the classified AE signals.…”

Section: Introductionmentioning

confidence: 99%

Mechanical behaviour of jute fibre-reinforced polyester composite: Characterization of damage mechanisms using acoustic emission and microstructural observations

Alia

Fantozzi

Godin

et al. 2019

Journal of Composite Materials

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The present work deals with the mechanical characterization of a woven jute fabrics reinforced polyester resin composite. Two stacking sequences were considered: [0]8 and [+45/−45]2S. In-situ acoustic emission technique, X-ray computed tomography (X-ray CT) and post-mortem microscopic observations were used to characterise the damage mechanisms and to follow their evolutions during uniaxial tension. The microstructural analysis and X-ray CT revealed the following damage modes for the two lay-ups: fibre-matrix debondings which constitute the dominant mechanism, matrix crackings and fibre breakages and pull-outs. The acoustic emission data were processed using an unsupervised pattern recognition technique which combines principal components analysis and k-means optimized by a genetic algorithm. Both temporal and frequential features of acoustic emission signals were considered. The Laplacian score and dendrogram were used to determine the relevant and uncorrelated descriptors for clustering. Three clusters of events were obtained and the waveforms of each one were examined. Furthermore, the frequency contents of signals of each cluster were accurately investigated using power density spectrum and smoothed pseudo Wigner-Ville time-frequency distribution and the discrepancies between clusters are highlighted. Cluster 1 (Cl 1) characterized by signals of low frequency and intermediate amplitude, cluster 2 (Cl 2) characterized by signals of higher frequency and an amplitude similar to that of Cl 1 and cluster 3 (Cl 3) characterized by signals of higher amplitude. A correlation between the clusters and the damage mechanisms was established by means of interrupted tensile tests: Cl 1 is assigned to the matrix cracking, Cl 2 to the fibre-matrix debonding and Cl 3 to the fibre breakage and pull-out. The kinetic of evolution of each damage mode was monitored for the two stacking sequences.

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Section: Introductionmentioning

confidence: 99%

Mechanical behaviour of jute fibre-reinforced polyester composite: Characterization of damage mechanisms using acoustic emission and microstructural observations

Alia

Fantozzi

Godin

et al. 2019

Journal of Composite Materials

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“…The study of acoustic emission descriptors allows then to identify specific damage mechanisms of composites [1,2]. This identification is done by the use of Unsupervised Pattern Recognition technique that has been used successfully by different authors in the case of glass fibre composites [3,4]. Infrared thermography is an optical measurement technique that provides 2D surface thermal fields.…”

Section: Introductionmentioning

confidence: 99%

Damage detection in CFRP by coupling acoustic emission and infrared thermography

Muñoz

Valès

Perrin

et al. 2016

Composites Part B: Engineering

123

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International audienceAcoustic emission (AE) and infrared thermography (IT) are simultaneously combined to identify damage evolution in carbon fibre reinforced composites. Samples are subjected to tensile static loads while acoustic emission sensors and an infrared camera record the acoustic signals and the temperature variations respectively. Unsupervised pattern recognition procedure is applied to identify damage mechanisms from acoustic signals. Thermodynamic arguments are introduced to estimate global heat source fields from thermal measurements and anisotropic heat conduction behavior is taken into account by means of homogenization technique. A spatial and time analysis of acoustic events and heat sources is developed and some correlation range in the AE and IT events amplitude are identified

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“…Some researchers have associated specific peak amplitudes and peak frequencies to the specific types of damage modes such as matrix cracking, delamination and fiber breakage [21,22]. Others are not inclined towards this idea and encompass the necessity of using different signal-based descriptors such as frequency centroid and weighted peak frequency [23,24]. In terms of common ground, numerous researchers alike have agreed upon the reliability of using cumulative counts and cumulative acoustic energy [14,17,21].…”

Section: Introductionmentioning

confidence: 99%

Bonding Characteristics of Single- and Joggled-Lap CFRP Specimens: Mechanical and Acoustic Investigations

et al. 2020

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Two different configurations of adhesive-bonded carbon fiber-reinforced plastic (CFRP) specimens, joggled lap-joint specimens and single lap-joint specimens, are mechanically tested. The mechanical tests show that the joggled lap specimens have lower strength than the single lap specimens. The damage modes in both the specimens are analysed by the Acoustic Emission descriptors recorded during the mechanical tests. The acoustic data as cumulative counts and cumulative energy show the critical points of failure in both the specimen groups under loading. Moreover, they also show that the damage modes in both the specimens are dissimilar. Finally, the data provided by acoustic emission descriptors are verified by fractographic analysis on the failed surface.

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Identification of failure mechanisms of metallised glass fibre reinforced composites under tensile loading using acoustic emission analysis

Cited by 25 publications

References 25 publications

Mechanical behaviour of jute fibre-reinforced polyester composite: Characterization of damage mechanisms using acoustic emission and microstructural observations

Mechanical behaviour of jute fibre-reinforced polyester composite: Characterization of damage mechanisms using acoustic emission and microstructural observations

Damage detection in CFRP by coupling acoustic emission and infrared thermography

Bonding Characteristics of Single- and Joggled-Lap CFRP Specimens: Mechanical and Acoustic Investigations

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