Reliability-based design optimization of offshore wind turbine support structures using analytical sensitivities and factorized uncertainty modeling

Stieng, Lars Einar S.; Muskulus, Michael

doi:https://doi.org/10.5194/wes-5-171-2020

Articles | Volume 5, issue 1

https://doi.org/10.5194/wes-5-171-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-5-171-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 5, issue 1

Research article

|

29 Jan 2020

Research article |

| 29 Jan 2020

Reliability-based design optimization of offshore wind turbine support structures using analytical sensitivities and factorized uncertainty modeling

Lars Einar S. Stieng and Michael Muskulus

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Final revised paper (published on 29 Jan 2020)
Supplement to the final revised paper
Preprint (discussion started on 04 Sep 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Referee comment on wes-2019-61', Anonymous Referee #1, 23 Sep 2019
RC2: 'Referee Comments', Anonymous Referee #2, 24 Oct 2019
AC1: 'Response to interactive comments', Lars Einar S. Stieng, 07 Nov 2019

Peer-review completion

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

AR by Lars Einar S. Stieng on behalf of the Authors (07 Nov 2019) Author's response Manuscript

ED: Publish as is (05 Dec 2019) by Athanasios Kolios

ED: Publish as is (15 Dec 2019) by Joachim Peinke (Chief editor)

AR by Lars Einar S. Stieng on behalf of the Authors (20 Dec 2019)

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Short summary

We present a framework for reducing the cost of support structures for offshore wind turbines that takes into account the many uncertainties that go into the design process. The results demonstrate how an efficient new approach, tailored for support structure design, allows the state of the art for design without uncertainties to be used within a framework that does include these uncertainties. This allows more realistic, and less conservative, design methods to be used for practical design.