Local strain and damage measurements on a composite with digital image correlation and acoustic emission

Flament, Camille; Salvia, Michelle; Berthel, Bruno; Crosland, Gérard

doi:10.1177/0021998315597993

Cited by 21 publications

(20 citation statements)

References 19 publications

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“…AE signals are transient elastic waves emitted as a consequence of crack initiation and propagation or friction activation in existing cracks. Therefore, AE is a valuable tool for damage monitoring as it is capable of identifying failure mechanisms [10,11].…”

Section: Introductionmentioning

confidence: 99%

Correlation between thermal deformation and microcracking in concrete during cryogenic cooling

Kogbara

Iyengar

Grasley

et al. 2016

NDT & E International

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Section: Introductionmentioning

confidence: 99%

Correlation between thermal deformation and microcracking in concrete during cryogenic cooling

Kogbara

Iyengar

Grasley

et al. 2016

NDT & E International

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“…Recently, with the development of digital image processing algorithms and the continual refinement of optical imaging systems, digital image correlation (DIC) has been established as a practical and effective technique for full‐field deformation measurement. DIC has been used to measure the thermal strain and CTEs of various materials, including but not limited to metals, films, composites, and very soft elastomers . Although the practicality and effectiveness of DIC techniques for thermal strain and CTE measurement have been convincingly demonstrated at a variety of temperature ranges, high‐throughput, high‐accuracy determination of thermal expansion and CTEs of multiple samples in a single test using the state‐of‐the‐art DIC technique has not been reported so far.…”

Section: Introductionmentioning

confidence: 92%

High‐throughput, high‐accuracy determination of coefficient of thermal expansion of carbon fibre–epoxy composites using digital image correlation

Zhang

Pan

2017

Strain

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High-throughput, high-accuracy determination of thermal deformation and coefficient of thermal expansion (CTE) of carbon fibre-epoxy composites using 2D-digital image correlation (2D-DIC) is described. With the aid of a specially designed ultra-stable and high fidelity imaging system, which integrates a high-quality bilateral telecentric lens with monochromatic blue light illumination, surface images of multiple samples heated by a heating furnace can be captured simultaneously. The images of these samples at different temperatures are processed by advanced DIC algorithm to extract the thermal strains and the CTE of isotropic Al alloy, anisotropic unidirectional, and bidirectional carbon fibre-epoxy composites. Pure thermal expansions of these samples obtained after removing the small rigid-body rotations clearly indicate the isotropic and anisotropic expansions of these samples. The well-agreed results with literature values demonstrate the effectiveness and practicality of the proposed method for high-throughput and high-accuracy CTE measurements. KEYWORDScarbon fibre-epoxy composite, coefficient of thermal expansion, digital image correlation, high throughput, thermal strain

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“…Andrew et al 25 summarized the amplitude distribution about different damages in the literature and demonstrated the practicality of integrating AE and DIC in comparing the effects of different types of fiber reinforcements on residual compression properties of repaired glass/epoxy composite laminates. Flament et al 26 investigated the use of AE to locate and classify the type of damage occurring in carbon fiber panel during buckling. As a result, the combination of AE and DIC can lead to a comprehensive explanation of the extension and damage of the composites.…”

Section: Introductionmentioning

confidence: 99%

Cluster analysis of acoustic emission signals and tensile properties of carbon/glass fiber–reinforced hybrid composites

Wei

Zhou

2019

Structural Health Monitoring

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Understanding the damage and failure of carbon/glass epoxy hybrid woven composites under tensile loading based on acoustic emission signals is a challenging task in their practical uses. In this study, an approach based on fuzzy c-means algorithm is proposed to process the acoustic emission signals from tensile loading of composites monitored by combining acoustic emission technology and digital image correlation method. The results show that the acoustic emission signals from tensile loading can be divided into three clusters. The three clusters correspond to three kinds of damage modes including matrix cracking, fiber/matrix debonding, delamination, and fiber breakage. By comparing the acoustic characteristics of these classes, a correlation procedure between the clusters and the damage mechanisms observed is proposed. Meanwhile, it can be found that debonding and fiber break signals for glass fiber correspond to a lower frequency range than that for carbon fiber. Moreover, the method combining acoustic emission and digital image correlation can effectively monitor the damage process of the specimen both on the inside and outside, which can provide a reference for the health monitoring of composite structure.

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Local strain and damage measurements on a composite with digital image correlation and acoustic emission

Cited by 21 publications

References 19 publications

Correlation between thermal deformation and microcracking in concrete during cryogenic cooling

Correlation between thermal deformation and microcracking in concrete during cryogenic cooling

High‐throughput, high‐accuracy determination of coefficient of thermal expansion of carbon fibre–epoxy composites using digital image correlation

Cluster analysis of acoustic emission signals and tensile properties of carbon/glass fiber–reinforced hybrid composites

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