Damage characterization of polymer-based composite materials: Multivariable analysis and wavelet transform for clustering acoustic emission data

Marec, A.; Thomas, Jean‐Hugh; Guerjouma, Rachid El

doi:10.1016/j.ymssp.2007.11.029

Cited by 289 publications

(227 citation statements)

References 23 publications

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“…The physical decohesive phenomena described by AE frequencies of lower values of around 100 kHz (from a few dozens to ∼ 180 kHz), may be related to observed micrometer size matrix microcracking defects. Accurate location of such defects by the acoustic emission techniques is practically impossible [34,35] and reliable experimental evidence of these smallest cracks is not available in bibliography, besides contribution by Lorenzo and Hahn [36].…”

Section: Acoustic Emission and Microscopic (Sem) Analysesmentioning

confidence: 99%

Acoustic Emission from Microcrack Initiation in Polymer Matrix Composites in Short Beam Shear Test

et al. 2018

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Acoustic emission (AE) was applied for detection of microcrack initiation in carbon fiber reinforced polymer composites subjected to shear stresses. Experimental materials were prepared from polyester bonded unidirectional (1D) non-crimp fabric and 2D plain-weave carbon fiber fabrics, using the resin transfer moulding technology. Control of epoxy resin/carbon textile proportions enabled variation of fiber volume content from small (34/35% for 2D/1D), through medium (51%) to high (68%). Rectangular samples (45 × 4 × 2 mm) were cut from 1D plates along [0] and across [90] fibers. Similar size samples from 2D plates were cut along warp/weft axes as well as in two orthogonal bias directions. Selected side surfaces were polished for microscopic (SEM) observations. Short-beam-strength tests were performed in 3-point bending (l/h=4), with two AE sensors attached for damage monitoring, which allowed to interrupt loading sequence before final failure. The acoustic emission historic index was the most effective AE parameter in damage initiation control. Microcracks developing on polished composite side-surfaces were observed under the SEM and direct microscopic evidence confirmed fiber debonding to be the principal mechanism of crack initiation in these materials and testing conditions before any further damage.

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Section: Acoustic Emission and Microscopic (Sem) Analysesmentioning

confidence: 99%

Acoustic Emission from Microcrack Initiation in Polymer Matrix Composites in Short Beam Shear Test

et al. 2018

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“…In this type of studies, a main assumption is done: signals are affected by propagation but they remain images of sources. Therefore, acoustic emission events can be classified using multivariable statistical analysis techniques and then attributed to a damage mechanism in the material [5][6][7][8][9][10][11][12]. The main assumption is: the acoustic signatures are unchanged during propagation and damage evolution.…”

Section: Introductionmentioning

confidence: 99%

Challenges and Limitations in the Identification of Acoustic Emission Signature of Damage Mechanisms in Composites Materials

2018

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Acoustic emission is a part of structural health monitoring (SHM) and prognostic health management (PHM). This approach is mainly based on the activity rate and acoustic emission (AE) features, which are sensitive to the severity of the damage mechanism. A major issue in the use of AE technique is to associate each AE signal with a specific damage mechanism. This approach often uses classification algorithms to gather signals into classes as a function of parameters values measured on the signals. Each class is then linked to a specific damage mechanism. Nevertheless, each recorded signal depends on the source mechanism features but the stress waves resulting from the microstructural changes depend on the propagation and acquisition (attenuation, damping, surface interactions, sensor characteristics and coupling). There is no universal classification between several damage mechanisms. The aim of this study is the assessment of the influence of the type of sensors and of the propagation distance on the waveforms parameters and on signals clustering.

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“…Various parameters are recorded with acoustic emission, such as amplitude, frequency, energy data or waveform parameters. Some studies use a multivariable data analysis to characterise the development of damage by acoustic emission [5,8,13]. Many of them have shown a clear correlation between acoustic emission amplitude and damage mechanisms in composite [6,14].…”

Section: Introductionmentioning

confidence: 99%

Multi scale analysis by acoustic emission of damage mechanisms in natural fibre woven fabrics/epoxy composites.

Bonnafous

Touchard

Chocinski–Arnault

2010

EPJ Web of Conferences

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Abstract. This paper proposes to develop an experimental program to characterize the type and the development of damage in composite with complex microstructure. A multi-scale analysis by acoustic emission has been developed and applied to hemp fibre woven fabrics/epoxy composite. The experimental program consists of tensile tests performed on single yarn, neat epoxy resin and composite materials to identify their AE amplitude signatures. A statistical analysis of AE amplitude signals has been realised and correlated with microscopic observations. Results have enabled to identify three types of damage in composites and their associated AE amplitudes: matrix cracking, interfacial debonding and reinforcement damage and fracture. Tracking of these damage mechanisms in hemp/epoxy composites has been performed to show the process of damage development in natural fibre reinforced composites.

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Damage characterization of polymer-based composite materials: Multivariable analysis and wavelet transform for clustering acoustic emission data

Cited by 289 publications

References 23 publications

Acoustic Emission from Microcrack Initiation in Polymer Matrix Composites in Short Beam Shear Test

Acoustic Emission from Microcrack Initiation in Polymer Matrix Composites in Short Beam Shear Test

Challenges and Limitations in the Identification of Acoustic Emission Signature of Damage Mechanisms in Composites Materials

Multi scale analysis by acoustic emission of damage mechanisms in natural fibre woven fabrics/epoxy composites.

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