Alsaadi, A., Meredith, J., Swait, T. et al. (3 more authors) (2019) Structural health monitoring for woven fabric CFRP laminates. Composites Part B: Engineering, 174. 107048. ISSN 1359-8368
Abstract
Structural health monitoring is directly linked to structural performance, hence it is one of the main parameters in the safety of operation. This paper presents the development of an innovative structural health monitoring system for woven fabric carbon fibre reinforced polymer (CFRP) laminates fabricated using both vacuum assisted resin transfer moulding and pre-preg technique. The sensing system combines the ability to monitor strain due to applied loads, as well as to detect, and assess damage due to low velocity impact events. Bending loads were applied on a beam-type specimen and changes in electrical resistance, due to piezoresistivity of carbon fibres, were monitored. The change in electrical resistance was a function of applied load and reversible up to 0.13% strain. Two thicknesses of composite panel, 2.09 (vacuum assisted resin transfer moulding) and 1.63 mm (pre-preg) were made, and were subjected to a range of low velocity impact energies. The resultant damage areas, as measured using ultrasonic C-scanning, were plotted against changes in electrical resistance to provide a correlation plot of damage area against impact energy. An inverse analysis, using this correlation plot, was performed to predict the damage area from a known impact event. 85% accuracy in the predicted damage area was achieved in comparison with subsequent C-scan data on the unknown damage.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2019 Elsevier. This is an author-produced version of a paper subsequently published in Composites Part B: Engineering. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | VARTM; Composite structural health monitoring; Strain monitoring; Damage diagnosis; Damage quantification; Damage assessment |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Jul 2019 14:02 |
Last Modified: | 13 Jun 2020 00:38 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.compositesb.2019.107048 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148140 |