Articles | Volume 10, issue 12
https://doi.org/10.5194/wes-10-2865-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Data-driven probabilistic surrogate model for floating wind turbine lifetime damage equivalent load prediction
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- Final revised paper (published on 05 Dec 2025)
- Preprint (discussion started on 21 Feb 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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- CC1: 'Comment on wes-2025-24', Frank Lemmer, 24 Feb 2025
- RC1: 'Comment on wes-2025-24', Anonymous Referee #1, 07 Mar 2025
- RC2: 'Comment on wes-2025-24', Anonymous Referee #2, 27 May 2025
- AC1: 'Comment on wes-2025-24', Deepali Singh, 18 Jul 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Deepali Singh on behalf of the Authors (18 Jul 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (21 Jul 2025) by Yi Guo
RR by Anonymous Referee #2 (23 Jul 2025)
ED: Publish subject to minor revisions (review by editor) (01 Aug 2025) by Yi Guo
AR by Deepali Singh on behalf of the Authors (06 Aug 2025)
Author's response
Author's tracked changes
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ED: Publish as is (06 Aug 2025) by Yi Guo
ED: Publish as is (13 Sep 2025) by Athanasios Kolios (Chief editor)
AR by Deepali Singh on behalf of the Authors (24 Sep 2025)
Manuscript
Congratulations to the authors - this is certainly a relevant topic!
I'm wondering if you've seen Kolja Müller's works, which are much related to this work:
Müller, K., & Cheng, P. W. (2018). Application of a Monte Carlo procedure for probabilistic fatigue design of floating offshore wind turbines. Wind Energy Science, 3, 149–162. https://doi.org/10.5194/wes-3-149-2018
Müller, K., & Cheng, P. W. (2018). A surrogate modeling approach for fatigue damage assessment of floating wind turbines. Proceedings of the ASME 37th International Conference on Ocean, Offshore and Arctic Engineering. https://doi.org/10.1115/OMAE2018-78219
Best regards