Failure characterisation of CF/epoxy V-shape components using digital image correlation and acoustic emission analyses

Brendan R. Murray; Kalliopi-Artemi Kalteremidou; Delphine Carrella-Payan; Anghel Cernescu; Danny Van Hemelrijck; Lincy Pyl

doi:10.1016/j.compstruct.2019.111797

Failure characterisation of CF/epoxy V-shape components using digital image correlation and acoustic emission analyses

Brendan R. Murray, Kalliopi-Artemi Kalteremidou, Delphine Carrella-Payan, Anghel Cernescu, Danny Van Hemelrijck, Lincy Pyl

Research output: Contribution to journal › Article › peer-review

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Abstract

Testing of V-Shape demonstrator components formed from carbon fibre epoxy composites was undertaken to assess the failure mechanisms at the corner section (V-Shape) of a square beam structure under static and fatigue loading configurations. Digital image correlation and acoustic emission analyses were used to determine the time to failure, as well as the location of failure, providing additional insights for failure characterisation. Digital image correlation was used on the surface of the specimens’ side as it analysed the displacements and strains on the externally visible through-thickness region. Acoustic emission analyses identified the origin and location of stress waves generated within the sample which were related to damage events. These techniques have shown a higher sensitivity to determining the onset of damage and the time to failure, in comparison to load drops, crosshead displacement changes, and strain gauge measurements, providing a more conservative and accurate measurement of component failure. They have also proven successful at determining the location of failure initiation, highlighting the added benefits of incorporating these techniques into component analyses.

Original language	English
Article number	111797
Pages (from-to)	1-13
Number of pages	13
Journal	Composite Structures
Volume	236
DOIs	https://doi.org/10.1016/j.compstruct.2019.111797
Publication status	Published - 15 Mar 2020

Bibliographical note

Funding Information:
The work leading to this publication has been funded by the SBO project “M3Strength”, which fits in the MacroModelMat (M3) research program, coordinated by Siemens (Siemens PLM Software, Belgium) and funded by SIM ( Strategic Initiative Materials in Flanders ) and VLAIO (Flanders Innovation & Entrepreneurship). The authors would also like to thank Honda R&D Co., Ltd and the Mitsubishi Chemical Corporation for supplying materials and for their continued technical support. This research would not have been possible without their contributions.

Funding Information:
The work leading to this publication has been funded by the SBO project ?M3Strength?, which fits in the MacroModelMat (M3) research program, coordinated by Siemens (Siemens PLM Software, Belgium) and funded by SIM (Strategic Initiative Materials in Flanders) and VLAIO (Flanders Innovation & Entrepreneurship). The authors would also like to thank Honda R&D Co. Ltd and the Mitsubishi Chemical Corporation for supplying materials and for their continued technical support. This research would not have been possible without their contributions. The raw/processed data required to reproduce these findings cannot be shared at this time due to legal reasons.

Publisher Copyright:
© 2019 Elsevier Ltd

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

Carbon fibre epoxy composites
Fracture characterisation
Digital image correlation
Acoustic emission
Beam
V-shape

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10.1016/j.compstruct.2019.111797

Author manuscriptAccepted author manuscript, 2.24 MBLicence: CC BY-NC-ND

Cite this

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title = "Failure characterisation of CF/epoxy V-shape components using digital image correlation and acoustic emission analyses",

abstract = "Testing of V-Shape demonstrator components formed from carbon fibre epoxy composites was undertaken to assess the failure mechanisms at the corner section (V-Shape) of a square beam structure under static and fatigue loading configurations. Digital image correlation and acoustic emission analyses were used to determine the time to failure, as well as the location of failure, providing additional insights for failure characterisation. Digital image correlation was used on the surface of the specimens{\textquoteright} side as it analysed the displacements and strains on the externally visible through-thickness region. Acoustic emission analyses identified the origin and location of stress waves generated within the sample which were related to damage events. These techniques have shown a higher sensitivity to determining the onset of damage and the time to failure, in comparison to load drops, crosshead displacement changes, and strain gauge measurements, providing a more conservative and accurate measurement of component failure. They have also proven successful at determining the location of failure initiation, highlighting the added benefits of incorporating these techniques into component analyses.",

keywords = "Carbon fibre epoxy composites, Fracture characterisation, Digital image correlation, Acoustic emission, Beam, V-shape",

author = "Murray, {Brendan R.} and Kalliopi-Artemi Kalteremidou and Delphine Carrella-Payan and Anghel Cernescu and {Van Hemelrijck}, Danny and Lincy Pyl",

note = "Funding Information: The work leading to this publication has been funded by the SBO project “M3Strength”, which fits in the MacroModelMat (M3) research program, coordinated by Siemens (Siemens PLM Software, Belgium) and funded by SIM ( Strategic Initiative Materials in Flanders ) and VLAIO (Flanders Innovation & Entrepreneurship). The authors would also like to thank Honda R&D Co., Ltd and the Mitsubishi Chemical Corporation for supplying materials and for their continued technical support. This research would not have been possible without their contributions. Funding Information: The work leading to this publication has been funded by the SBO project ?M3Strength?, which fits in the MacroModelMat (M3) research program, coordinated by Siemens (Siemens PLM Software, Belgium) and funded by SIM (Strategic Initiative Materials in Flanders) and VLAIO (Flanders Innovation & Entrepreneurship). The authors would also like to thank Honda R&D Co. Ltd and the Mitsubishi Chemical Corporation for supplying materials and for their continued technical support. This research would not have been possible without their contributions. The raw/processed data required to reproduce these findings cannot be shared at this time due to legal reasons. Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

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month = mar,

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doi = "10.1016/j.compstruct.2019.111797",

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AU - Murray, Brendan R.

AU - Kalteremidou, Kalliopi-Artemi

AU - Carrella-Payan, Delphine

AU - Cernescu, Anghel

AU - Van Hemelrijck, Danny

AU - Pyl, Lincy

N1 - Funding Information: The work leading to this publication has been funded by the SBO project “M3Strength”, which fits in the MacroModelMat (M3) research program, coordinated by Siemens (Siemens PLM Software, Belgium) and funded by SIM ( Strategic Initiative Materials in Flanders ) and VLAIO (Flanders Innovation & Entrepreneurship). The authors would also like to thank Honda R&D Co., Ltd and the Mitsubishi Chemical Corporation for supplying materials and for their continued technical support. This research would not have been possible without their contributions. Funding Information: The work leading to this publication has been funded by the SBO project ?M3Strength?, which fits in the MacroModelMat (M3) research program, coordinated by Siemens (Siemens PLM Software, Belgium) and funded by SIM (Strategic Initiative Materials in Flanders) and VLAIO (Flanders Innovation & Entrepreneurship). The authors would also like to thank Honda R&D Co. Ltd and the Mitsubishi Chemical Corporation for supplying materials and for their continued technical support. This research would not have been possible without their contributions. The raw/processed data required to reproduce these findings cannot be shared at this time due to legal reasons. Publisher Copyright: © 2019 Elsevier Ltd Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/3/15

Y1 - 2020/3/15

N2 - Testing of V-Shape demonstrator components formed from carbon fibre epoxy composites was undertaken to assess the failure mechanisms at the corner section (V-Shape) of a square beam structure under static and fatigue loading configurations. Digital image correlation and acoustic emission analyses were used to determine the time to failure, as well as the location of failure, providing additional insights for failure characterisation. Digital image correlation was used on the surface of the specimens’ side as it analysed the displacements and strains on the externally visible through-thickness region. Acoustic emission analyses identified the origin and location of stress waves generated within the sample which were related to damage events. These techniques have shown a higher sensitivity to determining the onset of damage and the time to failure, in comparison to load drops, crosshead displacement changes, and strain gauge measurements, providing a more conservative and accurate measurement of component failure. They have also proven successful at determining the location of failure initiation, highlighting the added benefits of incorporating these techniques into component analyses.

AB - Testing of V-Shape demonstrator components formed from carbon fibre epoxy composites was undertaken to assess the failure mechanisms at the corner section (V-Shape) of a square beam structure under static and fatigue loading configurations. Digital image correlation and acoustic emission analyses were used to determine the time to failure, as well as the location of failure, providing additional insights for failure characterisation. Digital image correlation was used on the surface of the specimens’ side as it analysed the displacements and strains on the externally visible through-thickness region. Acoustic emission analyses identified the origin and location of stress waves generated within the sample which were related to damage events. These techniques have shown a higher sensitivity to determining the onset of damage and the time to failure, in comparison to load drops, crosshead displacement changes, and strain gauge measurements, providing a more conservative and accurate measurement of component failure. They have also proven successful at determining the location of failure initiation, highlighting the added benefits of incorporating these techniques into component analyses.

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KW - Acoustic emission

KW - Beam

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DO - 10.1016/j.compstruct.2019.111797

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JO - Composite Structures

JF - Composite Structures

M1 - 111797

ER -

Failure characterisation of CF/epoxy V-shape components using digital image correlation and acoustic emission analyses

Abstract

Bibliographical note

Keywords

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