Conference
Detection and Localisation of Barely Visible Impact Damage in Fibre-Reinforced Polymer Composites Using a Supervised Deep Learning Algorithm
| العنوان: | Detection and Localisation of Barely Visible Impact Damage in Fibre-Reinforced Polymer Composites Using a Supervised Deep Learning Algorithm |
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| المؤلفون: | Tabatabaeian, A., Jerkovic, B., Vannucchi de Camargo, F., Echer, L., Marchiori, E., Fotouhi, M. |
| سنة النشر: | 2023 |
| المجموعة: | University of Glasgow: Enlighten - Publications |
| الوصف: | Composites are prone to internal damage, either during manufacture or throughout their service life, requiring non-destructive testing for detection, monitoring, and repair. However, some methods, such as visual inspection, may pose health and safety risks. The present work explores the use of a supervised deep-learning algorithm to identify barely visible impact damage in composite panels. The algorithm is trained on a small labelled dataset and tested on an unlabelled dataset. Results show that the algorithm could present a promising tool for automating structural health monitoring of composites, offering accuracy of 96% and 86% on the non-impacted and impacted surfaces. |
| نوع الوثيقة: | conference object |
| وصف الملف: | text |
| اللغة: | English |
| Relation: | https://eprints.gla.ac.uk/332324/1/332324.pdf; Tabatabaeian, A. , Jerkovic, B., Vannucchi de Camargo, F., Echer, L., Marchiori, E. and Fotouhi, M. (2023) Detection and Localisation of Barely Visible Impact Damage in Fibre-Reinforced Polymer Composites Using a Supervised Deep Learning Algorithm. In: 11th International Conference on Fiber-Reinforced Polymer (FRP) Composites in Civil Engineering (CICE 2023), Rio de Janeiro, Brazil, 24-26 July 2023, (doi:10.5281/zenodo.8070774 ) |
| الاتاحة: | https://eprints.gla.ac.uk/332324/ https://eprints.gla.ac.uk/332324/1/332324.pdf |
| Rights: | cc_by_4 |
| رقم الانضمام: | edsbas.931C43ED |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |