Articles | Volume 10, issue 12
https://doi.org/10.5194/wes-10-2947-2025
https://doi.org/10.5194/wes-10-2947-2025
Research article
 | 
10 Dec 2025
Research article |  | 10 Dec 2025

Probability assessment of static overload in wind turbine blade bearings considering turbulence, design, and manufacturing variability

Ashkan Rezaei and Amir Rasekhi Nejad

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comments on wes-2024-186', Matthias Stammler, 29 Jan 2025
  • RC1: 'Comment on wes-2024-186', Anonymous Referee #1, 07 Feb 2025
  • EC1: 'Comment on wes-2024-186', Nikolay Dimitrov, 23 Apr 2025
    • CC2: 'Reply on EC1', Matthias Stammler, 13 May 2025
    • AC2: 'Reply on EC1', Ashkan Rezaei, 17 Jun 2025
  • RC2: 'Comment on wes-2024-186', Anonymous Referee #2, 13 May 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Ashkan Rezaei on behalf of the Authors (18 Jun 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (24 Jun 2025) by Nikolay Dimitrov
RR by Anonymous Referee #1 (09 Jul 2025)
ED: Reconsider after major revisions (09 Jul 2025) by Nikolay Dimitrov
AR by Ashkan Rezaei on behalf of the Authors (23 Aug 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Sep 2025) by Nikolay Dimitrov
RR by Anonymous Referee #1 (03 Sep 2025)
ED: Publish subject to technical corrections (15 Sep 2025) by Nikolay Dimitrov
ED: Publish subject to technical corrections (16 Sep 2025) by Paul Veers (Chief editor)
AR by Ashkan Rezaei on behalf of the Authors (22 Sep 2025)  Author's response   Manuscript 
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Short summary
We analyzed the reliability of wind turbine blade bearings under extreme turbulence wind conditions to improve their safety and performance. Using simulations, we studied how factors like turbulence and design variations affect failure probability. Our findings show that current standards may underestimate these risks and highlight the need for stricter controls on critical design parameters.
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