Textile carbon reinforcement structures with integrated optical fibre sensors designed for SHM applications

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Alwis, L.S.M.; Bremer, K.; Weigand, F.; Kuhne, M.; Helbig, R. et al.: Textile carbon reinforcement structures with integrated optical fibre sensors designed for SHM applications. In: Proceedings of SPIE - The International Society for Optical Engineering 10323 (2017), 1032376. DOI: https://doi.org/10.1117/12.2264915

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1785

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Sum total of downloads: 455




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Abstract: 
An optical fibre-based strain sensor embroidered to a functionalised carbon structure (FCS) that can be used for structural health monitoring (SHM) is introduced. The aim of the design is not only to monitor strain, but also to act as a structural strengthening mechanism in the target application. The integration of optical fibres on the FCS is achieved by "interweaving" the two elements on a polymer textile infstrate in a grid formation using a specialised fabrication process. The thus obtained sensor was then characterised using a fibre optic Mach-Zehnder (MZ) interferometric setup where a variation in the fibre length, i.e. resulting from strain, would induce a variation in the interference pattern. To do so, two different functionalised skein samples (incorporating optical fibres) were infjected to varying elongation using a tensile testing machine by carefully incrementing the applied force. A good correlation between the applied force and measured length change was observed, showing the value of the dual-achievement of the proposed optical fibre-based mechanism in obtaining strain measurement while being utilised as a strengthening agent. © 2017 SPIE.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Forschungszentren

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pos. country downloads
total perc.
1 image of flag of Germany Germany 195 42.86%
2 image of flag of United States United States 96 21.10%
3 image of flag of China China 22 4.84%
4 image of flag of Ireland Ireland 15 3.30%
5 image of flag of India India 12 2.64%
6 image of flag of No geo information available No geo information available 11 2.42%
7 image of flag of Russian Federation Russian Federation 11 2.42%
8 image of flag of Indonesia Indonesia 9 1.98%
9 image of flag of United Kingdom United Kingdom 8 1.76%
10 image of flag of Spain Spain 7 1.54%
    other countries 69 15.16%

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