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Development of an embedded thin-film strain-gauge-based SHM network into 3D-woven composite structure for wind turbine blades

  • Zhou Dongning*
  • , Shafqat Rasool
  • , Michael Forde
  • , Bryan Weafer
  • , Edward Archer
  • , Alistair McIlhagger
  • , James McLaughlin
  • *Corresponding author for this work

    Research output: Contribution to Journal › Conference Article/Conference Proceedings › peer-review

    Abstract

    Recently, there has been increasing demand in developing low-cost, effective structure health monitoring system to be embedded into 3D-woven composite wind turbine blades to determine structural integrity and presence of defects. With measuring the strain and temperature inside composites at both in-situ blade resin curing and in-service stages, we are developing a novel scheme to embed a resistive-strain-based thin-metal-film sensory into the blade spar-cap that is made of composite laminates to determine structural integrity and presence of defects. Thus, with fiberglass, epoxy, and a thinmetal- film sensing element, a three-part, low-cost, smart composite laminate is developed. Embedded strain sensory inside composite laminate prototype survived after laminate curing process. The internal strain reading from embedded strain sensor under three-point-bending test standard is comparable. It proves that our proposed method will provide another SHM alternative to reduce sensing costs during the renewable green energy generation.
    Original languageEnglish
    Number of pages9
    JournalProceedings of SPIE - The International Society for Optical Engineering
    Volume10171
    DOIs
    Publication statusPublished - 19 Apr 2017
    EventSmart Materials and Nondestructive Evaluation for Energy Systems 2017 - Portland, United States
    Duration: 19 Apr 2017 → 19 Apr 2017

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Wind turbine blades
    • Strain-gauge-based
    • SHM network
    • 3D-woven composite structure

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