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

doi:10.1117/12.2259808

19 April 2017 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

Author Affiliations +

Proceedings Volume 10171, Smart Materials and Nondestructive Evaluation for Energy Systems 2017; 101710C (2017) https://doi.org/10.1117/12.2259808
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

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.

Citation Download Citation

Dongning Zhao, Shafqat Rasool, Micheal Forde, Bryan Weafer, Edward Archer, Alistair McIlhagger, and James McLaughlin "Development of an embedded thin-film strain-gauge-based SHM network into 3D-woven composite structure for wind turbine blades", Proc. SPIE 10171, Smart Materials and Nondestructive Evaluation for Energy Systems 2017, 101710C (19 April 2017); https://doi.org/10.1117/12.2259808

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