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Multiaxial damage identification of angle-ply laminates using acoustic emission and other online monitoring techniques

Onderzoeksoutput: Conference paper

Samenvatting

The aim of this research is the combined use of acoustic emission with other online monitoring techniques in order to identify the damage sequence of carbon fiber reinforced epoxies. Initially, common lay-ups were tested and their acoustic emission was monitored and analyzed with respect to the developing damage, in order to identify basic damage modes. Following this, angle-ply laminates were tested to characterize the damage evolution under multiaxial stress states with the use of acoustic emission and supporting techniques.

Originele taal-2English
TitelECCM 2018 - 18th European Conference on Composite Materials
UitgeverijMDPI AG
Pagina's1-8
Aantal pagina's8
ISBN van elektronische versie9781510896932
StatusPublished - 24 jun. 2018
Evenement18th European Conference on Composite Materials, ECCM 2018 - Athens, Greece
Duur: 24 jun. 201828 jun. 2018

Publicatie series

NaamECCM 2018 - 18th European Conference on Composite Materials

Conference

Conference18th European Conference on Composite Materials, ECCM 2018
Land/RegioGreece
StadAthens
Periode24/06/1828/06/18

Bibliografische nota

Funding Information:
The work leading to this publication has been funded by the SBO project “M3Strength”, which fits in the MacroModelMat (M3) research program funded by SIM (Strategic Initiative Materials in Flanders) and VLAIO (Flanders Innovation & Entrepreneurship Agency). The authors gratefully acknowledge the material suppliers Mitsubishi Chemical Corporation and Honda R&D Co., Ltd. The authors would also like to thank the financial support of the Fonds Wetenschappelijk Onderzoek (FWO) research funding program “Multi-scale modelling and characterization of fatigue damage in unidirectionally reinforced polymer composites under multiaxial and variable-amplitude loading”.

Publisher Copyright:
© CCM 2020 - 18th European Conference on Composite Materials. All rights reserved.

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

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