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Investigation of damage detection methods for laminated composite materials using full field digital image correlation

Dissertation (MEng)--University of Pretoria, 2020.

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Other Authors: Heyns, P.S. (Philippus Stephanus)
Format: Thesis
Language:English
Published: University of Pretoria 2021
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author2 Heyns, P.S. (Philippus Stephanus)
author_browse Heyns, P.S. (Philippus Stephanus)
author_facet Heyns, P.S. (Philippus Stephanus)
collection Thesis
dc_rights_str_mv © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng)--University of Pretoria, 2020.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:40:20.090Z
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provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/79644 Investigation of damage detection methods for laminated composite materials using full field digital image correlation Heyns, P.S. (Philippus Stephanus) u29303479@tuks.co.za Inglis, Helen M. Qambela, Crown James UCTD Damage Detection Laminated Composite Materials Digital Image Correlation (DIC) Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities Dissertation (MEng)--University of Pretoria, 2020. The aeronautical industry is among many which have focused on material with a high strength to weight ratios in order to accomplish as much efficiency as possible during flight. Among material of high strength to weight ratios are composite materials (Matthews and Rawlings, 1999). A composite material is defined by Lee (1989) as the combination of two or more materials of different characteristics (composition or form) which remain bonded together. This yields a material which essentially has all the beneficial attributes of its parent materials and little of their shortcomings. In the aeronautical field composite materials are used to construct components such as airplane wings spoilers and panels, vertical and horizontal stabilizers etc. (Baker et al., 2004). The wide use and range of composites has led to the development of various techniques for damage detection. One of the common types of damage which composites experience is barely visible impact damage, which can be caused by dropped objects during construction or maintenance. Laminated composites, unlike isotropic materials such as steel, show essentially no yielding prior to complete failure. This makes it crucial to assess them for damage before use. This research presents an investigation into the possibility of damage detection in laminated composites by making use of full field digital image correlation (DIC). The technique is often employed to assess the structural deformation characteristics of components under various loading conditions, which can then be correlated with finite element assessments. In this research three experimental methods are explored in terms of their performance in detecting barely visible impact damage: 1) modal analysis, 2) full field DIC under static loading, 3) full field DIC under dynamic loading. Modal analysis results showed no noticeable shifts in natural frequencies between an undamaged and damaged carbon/epoxy woven laminated composite, when damage was induced via static point load application at the center of the specimen. Full field DIC under dynamic loading namely, drop impact tests designed to induce no addition damage, revealed no change in peak out-of-plane displacements between an undamaged and damaged specimen. The technique proved effective only when severe visible damage was induced, which falls out of the scope of the research. Prior to full field DIC testing under static loading a number of experimental exercises were performed to check the accuracy of the method when measuring rigid body motion and out-of-plane displacements. The acquired results were compared to independent measurements obtained using a micrometer for rigid body motion and an eddy current probe for out-of-plane displacements. The method of full field DIC under static loading condition showed significant reduction in stiffness between the undamaged and damaged composite, with increases in out-of-plane peak displacement and von Mises strain fields. The success of full field DIC under static loading paved the way forward for the investigation of damage detection in laminated composites under various impact energies (i.e. centered impact and off-center impact) resulting in barely visible impact damage. The finding revealed an increase in compliance of the impacted laminated composite due to the damage. The barely visible damage can be detected using full field DIC only when the loading or excitation is located around the damaged region. There was no noticeable change in out-of-plane displacement fields of the specimens that were subjected to centered impact and off-center impact. Significant changes in von Mises strain fields exist between the undamaged and damaged laminated composites with centered impact. mi2025 Mechanical and Aeronautical Engineering MEng Unrestricted SDG-09: Industry, innovation and infrastructure SDG-12: Responsible consumption and production SDG-11: Sustainable cities and communities 2021-04-22T10:33:25Z 2021-04-22T10:33:25Z 2020/09/29 2020 Dissertation Qambela, CJ 2020, Investigation of damage detection methods for laminated composite materials using full field digital image correlation, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/79644> S2020 http://hdl.handle.net/2263/79644 en © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Damage Detection
Laminated Composite Materials
Digital Image Correlation (DIC)
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-12
SDG-12: Responsible consumption and production
Engineering, built environment and information technology theses SDG-11
SDG-11: Sustainable cities and communities
Investigation of damage detection methods for laminated composite materials using full field digital image correlation
title Investigation of damage detection methods for laminated composite materials using full field digital image correlation
title_full Investigation of damage detection methods for laminated composite materials using full field digital image correlation
title_fullStr Investigation of damage detection methods for laminated composite materials using full field digital image correlation
title_full_unstemmed Investigation of damage detection methods for laminated composite materials using full field digital image correlation
title_short Investigation of damage detection methods for laminated composite materials using full field digital image correlation
title_sort investigation of damage detection methods for laminated composite materials using full field digital image correlation
topic UCTD
Damage Detection
Laminated Composite Materials
Digital Image Correlation (DIC)
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-12
SDG-12: Responsible consumption and production
Engineering, built environment and information technology theses SDG-11
SDG-11: Sustainable cities and communities
url http://hdl.handle.net/2263/79644