Data-Driven Structural Health Monitoring in Laminated Composite Structures: Characterisation of Impact Damage

Tabatabaeian, A., Jerkovic, B., Marchiori, E. and Fotouhi, M. (2022) Data-Driven Structural Health Monitoring in Laminated Composite Structures: Characterisation of Impact Damage. In: 6th Brazilian Conference on Composite Materials (BCCM6), Tiradentes, Brazil, 14-18 Aug 2022, pp. 178-183. ISBN 9786500493863 (doi: 10.29327/566492)

[img] Text
277533.pdf - Accepted Version



There is a high level of uncertainty for detecting damage, such as barely visible impact damage, hidden manufacturing defects, and subsurface cracks in laminated composites, which is a main limiting factor in wider use of these materials. This highlights the necessity of developing innovative structural health monitoring (SHM) strategies to meet the safety and reliability of current composite structures. In this research, a wide range of laminated composite specimens were designed, manufactured and tested under drop-weight impact with several impact energies to generate visual evidence of such impact events. The dataset was then used to train a user developed artificial intelligence (AI)-based algorithm to identify and predict damaged areas. The results showed that the developed algorithm could well identify the impact damage on both front and back faces of the specimens. The results obtained from the new AI-based platform were in good agreement with visual observations. The research highlights the importance of a high quality dataset in training the AI-based algorithms for visual SHM.

Item Type:Conference Proceedings
Additional Information:The authors are grateful to the Radboud-Glasgow partnership scheme for supporting this work.
Glasgow Author(s) Enlighten ID:Fotouhi, Dr Mohammad and Tabatabaeian, Mr Ali
Creator Roles:
Tabatabaeian, A.Methodology, Data curation, Formal analysis, Writing – original draft
Fotouhi, M.Conceptualization, Resources, Supervision, Writing – review and editing
Authors: Tabatabaeian, A., Jerkovic, B., Marchiori, E., and Fotouhi, M.
College/School:College of Science and Engineering > School of Engineering
Published Online:12 August 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Proceedings of the 6th Brazilian Conference on Composite Materials: 178-183
Publisher Policy:Reproduced in accordance with the publisher copyright policy

University Staff: Request a correction | Enlighten Editors: Update this record