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Inspection and Monitoring of Wind Turbine Blade Embedded Defects During Fatigue Testing
Abstract
The research presented in this paper focuses on a 9-meter CX-100 wind turbine blade, designed by a team led by Sandia National Laboratories and manufactured by TPI Composites Inc. The key difference between this blade and baseline CX-100 blades is that this blade contains fabric wave defects of controlled geometry inserted at specified locations along the blade length. The defect blade was tested at the National Wind Technology Center at the National Renewable Energy Laboratory using a schedule of cycles at increasing load level until failure was detected. Researchers used digital image correlation, shearography, acoustic emission, fiber-optic strain sensing, thermal imaging, and piezoelectric sensing as structural health monitoring techniques. This paper provides a comparison of the sensing results of these different structural health monitoring approaches to detect the defects and track the resultant damage.