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Development of an Embedded Thin-film Strain-sensor-based SHM for Composite Tidal Turbine Blades

  • Dongning Zhao
  • , Shafqat Rasool
  • , Michael Forde
  • , Bryan Weafer
  • , Finlay Wallace
  • , Edward Archer
  • , Alistair McIlhagger
  • , James McLaughlin

Research output: Contribution to Book/Report › Conference Contribution › peer-review

Abstract

Recently, there has been growing demand in developing low-cost, effective structure health monitoring system for tidal turbine blades. Non-destructive structural health monitoring is essential for safety and reliability of marine kinetic energy related fields. In this work, with measuring the strain inside composites, we are developing a novel scheme to embed a resistive-strain-based thin-metal-film sensory into the blade sparcap that is made of composite laminates to determine structural integrity and presence of defects. The internal strain reading from embedded strain sensor under three-point-bending test standard is conducted. Experiment results shows that our proposed method will provide another SHM alternative to reduce sensing costs during the renewable green energy generation.
Original languageEnglish
Title of host publicationProceedings of the European Wave and Tidal Energy Conference
Subtitle of host publication12th EWTC, 27 Aug - 1 Sept 2017, Cork, Ireland
PublisherEWTEC
Number of pages5
Publication statusPublished - Sept 2017
Externally publishedYes

Publication series

NameEWTEC Proceedings
PublisherEWTEC
Number12
ISSN (Print)2309-1983

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

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