Preprints
https://doi.org/10.5194/wes-2026-105
https://doi.org/10.5194/wes-2026-105
25 Jun 2026
 | 25 Jun 2026
Status: this preprint is currently under review for the journal WES.

Fatigue-constrained gradient-based design optimization of main bearing–shaft systems for floating wind turbine drivetrains

Vasudev Gupta and Amir R. Nejad

Abstract. Floating offshore wind turbines have significant potential for economical and environmentally-efficient solutions for energy production. However, current state-of-the-art witnesses a lack of integrated analysis and optimization of these large, dynamically-coupled complex engineering machines and their critical sub-systems, such as the drivetrain, with research and experience still in their infancy. The aim of the paper is to facilitate efficient and holistic gradient-based multi-disciplinary constraint optimization of drivetrains by exploiting numerical models with varied fidelity-levels. This is illustrated through a constraint optimization of the main-shaft assembly, which includes critical fatigue-limit constraints of main-bearings, bridging design load case-based load spectra reduction with analytically-differentiable damage equivalent loads in contrast to conventional non-smooth bin-counting. The importance of fatigue as a design driver is shown by comparison to only static structural design. The proposed methodology is implemented as a modular extension within the open-source WISDEM-WEIS framework based on OpenMDAO, enabling efficient integration into existing multidisciplinary system-level wind turbine design workflows.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Wind Energy Science.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Vasudev Gupta and Amir R. Nejad

Status: open (until 23 Jul 2026)

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Vasudev Gupta and Amir R. Nejad
Vasudev Gupta and Amir R. Nejad
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Short summary
This study improves how wind turbine drivetrains are designed by linking structural behavior with long-term critical fatigue effects. By optimizing the main bearing-shaft assembly, for minimum mass, it is shown that design choices strongly affect efficiency and durability. Results reveal that some configurations are limited by ultimate, while others are limited by fatigue, highlighting the need to consider both in novel designs to build lighter and more reliable wind turbines.
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