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

Dongning Zhao, Shafqat Rasool, Micheal Forde, Bryan Weafer, Edward Archer, Alistair McIlhagger, James McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
28 Downloads (Pure)

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
Title of host publicationUnknown Host Publication
PublisherSPIE
Number of pages9
DOIs
Publication statusE-pub ahead of print - 19 Apr 2017
EventSmart Materials and Nondestructive Evaluation for Energy Systems 2017 -
Duration: 19 Apr 2017 → …

Conference

ConferenceSmart Materials and Nondestructive Evaluation for Energy Systems 2017
Period19/04/17 → …

Keywords

  • 3D-woven Composite
  • SHM Network

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