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Title: Inspection and monitoring of wind turbine blade-embedded wave defects during fatigue testing

Journal Article · · Structural Health Monitoring
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  1. Univ. of Massachusetts, Lowell, MA (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  4. Luna Innovations Incorporated, Blacksburg, VA (United States)
  5. Kennedy Space Center, FL (United States)
  6. Laser Technology Inc., Norristown, PA (United States)
+ Show Author Affiliations

The research we present in this article focuses on a 9-m CX-100 wind turbine blade, designed by a team led by Sandia National Laboratories and manufactured by TPI Composites Inc. The key difference between the 9-m 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. Our researchers used digital image correlation, shearography, acoustic emission, fiber-optic strain sensing, thermal imaging, and piezoelectric sensing as structural health monitoring techniques. Furthermore, this article provides a comparison of the sensing results of these different structural health monitoring approaches to detect the defects and track the resultant damage from the initial fatigue cycle to final failure.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1122363
Report Number(s):
SAND-2013-10376J; 491460
Journal Information:
Structural Health Monitoring, Vol. 13, Issue 6; ISSN 1475-9217
Publisher:
SAGE PublicationsCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 31 works
Citation information provided by
Web of Science

References (6)

High-spatial-resolution distributed strain measurement in optical fiber with Rayleigh scatter journal January 1998
Measurement of localized heating in fiber optic components with millimeter spatial resolution conference January 2006
High Resolution Distributed Strain or Temperature Measurements in Single- and Multi-Mode Fiber Using Swept-Wavelength Interferometry conference January 2006
Fatigue Testing of 9 m Carbon Fiber Wind Turbine Research Blades conference June 2012
Structural Testing of 9m Carbon Fiber Wind Turbine Research Blades conference June 2012
The application of non-destructive techniques to the testing of a wind turbine blade report June 1994

Cited By (8)

Measurement of quality test of aerodynamic profiles in wind turbine blades using laser triangulation technique
  • Moreno‐Oliva, Víctor Iván; Román‐Hernández, Edwin; Torres‐Moreno, Eduardo
  • Energy Science & Engineering, Vol. 7, Issue 5 https://doi.org/10.1002/ese3.423
journal June 2019
Comparison of nondestructive testing techniques for the inspection of wind turbine blades' spar caps journal May 2018
Prospective challenges in the experimentation of the rain erosion on the leading edge of wind turbine blades journal September 2018
Wind Turbine Blade Damage Detection Using Supervised Machine Learning Algorithms journal August 2017
Vertical Axis Wind Turbine Aerodynamics: Summary and Review of Momentum Models journal February 2019
Active acoustic damage detection of structural cavities using internal acoustic excitations journal March 2019
Passive acoustic damage detection of structural cavities using flow-induced acoustic excitations journal July 2019
Damage mode identification of composite wind turbine blade under accelerated fatigue loads using acoustic emission and machine learning journal September 2019

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Related Subjects

17 WIND ENERGY
42 ENGINEERING
digital image correlation
shearography
fiber-optic sensing
damage detection
composites
wind turbine blade
defect