Skip to main navigation Skip to search Skip to main content

Fibre Bragg Grating Sensor Signal Post-processing Algorithm: Crack Growth Monitoring in Fibre Reinforced Plastic Structures

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    Abstract

    A novel method to assess a crack growing/damage event in fibre reinforced plastic, using conventional single mode Fibre Bragg Grating sensors embedded in the host material is presented in this article. Three different damage mechanisms that can change the sensor output, longitudinal strain εxx, transversal stress σyy;zz, and non-uniform strain εxx(xx), were identified. These damage mechanisms were identified during the experimental testing and linked with the sensor output using a digital image correlation technique. A dedicated algorithm to extract information from the reflected spectrum that enables crack detection was developed. Double Cantilever Beams specimens made with glass fibre and bonded with structural adhesive, were instrumented with a Fibre Bragg Grating array embedded in the host material, and tested using an experimental fracture procedure. This method was successfully validated in three different loading conditions, where were obtained very promising results that enable crack growth monitoring.
    Original languageEnglish
    Title of host publicationPhotoptics 2015
    EditorsP. Ribeiro, M. Raposo
    PublisherSpringer
    Publication date2016
    Pages63-80
    ISBN (Print)978-3-319-30135-8
    DOIs
    Publication statusPublished - 2016
    SeriesSpringer Proceedings in Physics
    Volume181
    ISSN0930-8989

    Keywords

    • Fibre bragg grating sensor
    • Crack growth monitoring
    • Fibre reinforced plastic crack monitoring
    • Digital image correlation
    • Crack detection algorithm

    Fingerprint

    Dive into the research topics of 'Fibre Bragg Grating Sensor Signal Post-processing Algorithm: Crack Growth Monitoring in Fibre Reinforced Plastic Structures'. Together they form a unique fingerprint.

    Cite this