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

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

doi:https://doi.org/10.5194/wes-3-107-2018

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

Data sets

Effects of defects in composite wind turbine blades: Round 1 J. Nelson, T. Riddle, and D. Cairns http://prod.sandia.gov/techlib/access-control.cgi/2012/128110.pdf

Effects of defects in composite wind turbine blades: Round 2 J. Nelson, T. Riddle, and D. Cairns http://prod.sandia.gov/techlib/access-control.cgi/2012/128111.pdf

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.