Real-time frequency determination of acoustic emission for different fracture mechanisms in carbon/epoxy composites

Groot, Peter J. de; Wijnen, Peter A.M.; Janssen, Roger B.F.

doi:10.1016/0266-3538(95)00121-2

Cited by 366 publications

(189 citation statements)

References 2 publications

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“…Recently, Ono and Huang (1996), Prosser et al (1995), Kloua et al (1995), andde Groot et al (1995) applied the transient waveform analysis for AE source recognition. Methods of pattern recognition analysis and neural networks were used for the AE signal classifications.…”

Section: Acoustic Emission Analysis Of Damage Mechanismsmentioning

confidence: 99%

Analysis of microdamage evolution histories in composites

Dzenis

Qian

2001

International Journal of Solids and Structures

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Evolution of microdamage in advanced composites was experimentally studied in this paper. A new method of acoustic emission (AE) analysis of histories of different damage mechanisms was formulated based on a combination of transient AE classification and multiparameter filtering. The capabilities of the method were illustrated on examples of damage evolution in several graphite/epoxy composites. Three characteristic AE waveforms with different frequency spectra were identified based on the transient analysis. Regions occupied by these waveforms in the amplitude-rise time parametric space were identified for the [0] 8 and [90] 16 unidirectional composites. Multiparameter filtering was applied to extract evolution histories for the characteristic waveforms. The results were compared with actual damage in the specimens and the three characteristic AE waveforms were associated with matrix cracks, fiber breaks, and "macrodamage," such as delaminations or longitudinal splitting in unidirectional plies. The multiparameter filters based on the analysis of the unidirectional composites were used to extract the damage evolution histories for the cross-ply [0/90] 3S and angle-ply [±45] 4S composites. The results compared favorably with the observed damage in these materials. An inverse analysis of the quality of the multiparameter filtering for the laminated composites indicated that the filters developed for unidirectional composites can be applied to the analysis of laminated composites with reasonable reliability. The new method of acoustic emission analysis of damage micromechanisms is expected to be especially advantageous for fatigue damage evolution studies in composites and structures.

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Section: Acoustic Emission Analysis Of Damage Mechanismsmentioning

confidence: 99%

Analysis of microdamage evolution histories in composites

Dzenis

Qian

2001

International Journal of Solids and Structures

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“…The other signal features including amplitude, duration, rise time and energy can be also correlated with the defect characteristics [48]. Additionally, because different damages could result in different frequency contents, the spectrum of the AE s i g n a l c a n b e c a l c u l a t e d f o r d a m a g e discrimination [49]. Using the time information of AE signals, AE source location can be realized.…”

Section: Acoustic Emission Methodsmentioning

confidence: 99%

Structural Health Monitoring for Composite Materials

Cai¹,

Qiu²,

Yuan³

et al. 2012

Composites and Their Applications

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“…As these structural woven fabrics are attracting the attention of the aerospace industry, the monitoring of initiation and progression of transverse matrix cracking is of considerable interest and importance, since they can lead to delamination and fibre breakage, which result to ultimate failure. [17] 50-150 kHz ----140-180 kHz [18] 30-150 kHz 30-100 kHz 180-290 kHz 300-400 kHz [19] 80-130 kHz --250-410 kHz 250-410 kHz [13] ~ 300 kHz --300 kHz >500 kHz [20] 50-180 kHz 220-300 kHz 180-220 kHz >300 kHz [21] 90-110 kHz --200-300 kHz > 420 kHz [22] <50 kHz 200-300 kHz 500-600 kHz 400-500 kHz [23] ~ 140 kHz ~300 kHz --~ 405 kHz [24] …”

Section: Damage Monitored By Acoustic Emissionmentioning

confidence: 99%

Acoustic Emission of 3D Angle Interlock Glass Fibre Composites

Grésil¹,

Saleh²,

Arshad³

et al. 2015

Structural Health Monitoring 2015

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It is a big challenge to relate acoustic emission (AE) signal events to specific damage modes developed in composites under hygro-thermo-mechanical loading. This study provides further insight into the AE monitoring of a 3D angle interlock (AI) glass fibre composite and has revealed the complex nature of the relationship between the principal characteristics of recorded AE events on the one hand and the mechanical behaviour of the material on the other. Because the tested material here is transparent, the development of cracks can be observed in-situ during the test using optical images on the specimen. This paper presents experimental results on the use of AE on 3D AI glass fibre composites for structural health monitoring (SHM) of matrix cracks, during quasi-static tension of flat plates.

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Real-time frequency determination of acoustic emission for different fracture mechanisms in carbon/epoxy composites

Cited by 366 publications

References 2 publications

Analysis of microdamage evolution histories in composites

Analysis of microdamage evolution histories in composites

Structural Health Monitoring for Composite Materials

Acoustic Emission of 3D Angle Interlock Glass Fibre Composites

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