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

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Final revised paper (published on 14 Mar 2018)
Preprint (discussion started on 21 Apr 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review', Anonymous Referee #1, 22 Aug 2017
- AC1: 'Author response to comments from Reviewer #1', Jared Nelson, 24 Nov 2017
RC2: 'Review Comments', Anonymous Referee #2, 27 Oct 2017
- AC2: 'Author response to comments from Reviewer #2', Jared Nelson, 24 Nov 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Jared Nelson on behalf of the Authors (06 Jan 2018) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (28 Jan 2018) by Athanasios Kolios

AR by Jared Nelson on behalf of the Authors (29 Jan 2018) Author's response Manuscript

ED: Publish as is (29 Jan 2018) by Athanasios Kolios

ED: Publish as is (30 Jan 2018) by Gerard J.W. van Bussel (Chief editor)

AR by Jared Nelson on behalf of the Authors (02 Feb 2018)

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.