Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison

Julián Sierra-Pérez, Miguel Angel Torres-Arredondo, Alfredo Güemes

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

72 Citas (Scopus)

Resumen

A 13.5 m wind turbine blade prototype was designed and made of glass fiber and vinylester resin doped with carbon nanofibers. The blade was manufactured using Light RTM (Resin Transfer Molding) as a monocoque structure with a PVC foam core.Within the presented work, a methodology for instrumenting the blade with Fiber Optic Sensors (FOS) embedded into the structure during the manufacturing process was developed. Two different FOS technologies for strain sensing were embedded into the blade: Fiber Bragg Gratings (FBGs) and a plain fiber optic for distributed sensing using an Optical Backscatter Reflectometer (OBR). Besides the FOS, traditional electrical extensometers were bonded to the surface of the blade.By using Hierarchical nonlinear principal component analysis (h-NLPCA) it was possible to perform a pattern recognition technique based on the strain field inferred from the measurements acquired by different sensors. Defects and nonlinearities could be detected during the certification testing of the blades, avoiding the premature failure of the structure.Several static tests were conducted, including a test campaign with known artificial damages induced into the structure and the sensitivity of the technique was evaluated. The results showed that every damages could be detected by using different sensing techniques.

Idioma originalInglés
Páginas (desde-hasta)156-166
Número de páginas11
PublicaciónComposite Structures
Volumen135
DOI
EstadoPublicada - 1 ene. 2016
Publicado de forma externa

Nota bibliográfica

Publisher Copyright:
© 2015 Elsevier Ltd.

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