Wind Energy Science
Wind Energy Science
WES
Articles | Volume 3, issue 1
Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-107-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/wes-3-107-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 3, issue 1
Research article
 | 
14 Mar 2018
Research article |  | 14 Mar 2018

Effects of defects in composite wind turbine blades – Part 3: A framework for treating defects as uncertainty variables for blade analysis

Trey W. Riddle, Jared W. Nelson, and Douglas S. Cairns

Viewed

Total article views: 5,309 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,805 1,400 104 5,309 98 87
  • HTML: 3,805
  • PDF: 1,400
  • XML: 104
  • Total: 5,309
  • BibTeX: 98
  • EndNote: 87
Views and downloads (calculated since 21 Apr 2017)
Cumulative views and downloads (calculated since 21 Apr 2017)

Viewed (geographical distribution)

Total article views: 5,309 (including HTML, PDF, and XML) Thereof 4,062 with geography defined and 1,247 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Feb 2025
Download
Short summary
The Department of Energy sponsored, Sandia National Laboratory led Blade Reliability Collaborative was formed to address wind turbine blade reliability. Utilizing the results of characterization and mechanical testing studies, probabilistic models were developed to assess the reliability of a wind blade with known defects. By treating defects as random variables, the results indicate that characterization of defects and reduction of design uncertainty is possible for wind turbine blades.
Read more
Share
Altmetrics
Final-revised paper
Preprint