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

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.
Authors:
 [1] ;  [1] ;  [1] ;  [1] ;  [1] ;  [1] ;  [2] ;  [2] ;  [3] ;  [3] ;  [4] ;  [4] ;  [5] ;  [6]
  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)
Publication Date:
Report Number(s):
SAND-2013-10376J
Journal ID: ISSN 1475-9217; 491460
Grant/Contract Number:
AC04-94AL85000
Type:
Accepted Manuscript
Journal Name:
Structural Health Monitoring
Additional Journal Information:
Journal Volume: 13; Journal Issue: 6; Journal ID: ISSN 1475-9217
Publisher:
SAGE Publications
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 42 ENGINEERING; digital image correlation; shearography; fiber-optic sensing; damage detection; composites; wind turbine blade; defect
OSTI Identifier:
1122363

Niezrecki, Christopher, Avitabile, Peter, Chen, Julie, Sherwood, James, Lundstrom, Troy, LeBlanc, Bruce, Hughes, Scott, Desmond, Michael, Beattie, Alan, Rumsey, Mark, Klute, Sandra M., Pedrazzani, Renee, Werlink, Rudy, and Newman, John. Inspection and monitoring of wind turbine blade-embedded wave defects during fatigue testing. United States: N. p., Web. doi:10.1177/1475921714532995.
Niezrecki, Christopher, Avitabile, Peter, Chen, Julie, Sherwood, James, Lundstrom, Troy, LeBlanc, Bruce, Hughes, Scott, Desmond, Michael, Beattie, Alan, Rumsey, Mark, Klute, Sandra M., Pedrazzani, Renee, Werlink, Rudy, & Newman, John. Inspection and monitoring of wind turbine blade-embedded wave defects during fatigue testing. United States. doi:10.1177/1475921714532995.
Niezrecki, Christopher, Avitabile, Peter, Chen, Julie, Sherwood, James, Lundstrom, Troy, LeBlanc, Bruce, Hughes, Scott, Desmond, Michael, Beattie, Alan, Rumsey, Mark, Klute, Sandra M., Pedrazzani, Renee, Werlink, Rudy, and Newman, John. 2014. "Inspection and monitoring of wind turbine blade-embedded wave defects during fatigue testing". United States. doi:10.1177/1475921714532995. https://www.osti.gov/servlets/purl/1122363.
@article{osti_1122363,
title = {Inspection and monitoring of wind turbine blade-embedded wave defects during fatigue testing},
author = {Niezrecki, Christopher and Avitabile, Peter and Chen, Julie and Sherwood, James and Lundstrom, Troy and LeBlanc, Bruce and Hughes, Scott and Desmond, Michael and Beattie, Alan and Rumsey, Mark and Klute, Sandra M. and Pedrazzani, Renee and Werlink, Rudy and Newman, John},
abstractNote = {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.},
doi = {10.1177/1475921714532995},
journal = {Structural Health Monitoring},
number = 6,
volume = 13,
place = {United States},
year = {2014},
month = {5}
}