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A machine learning-driven surrogate modeling approach for the structural optimization of hybrid composite wind turbine blades

Published Online: 2026-04-27

Published Print: 2026-05

Authors

Hasirci, Kemal

Irez, Alaeddin Burak https://orcid.org/0000-0001-7316-7694
Funding

Funding for this research was provided by:

Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi (MDK-2023-45145)

Istanbul Technical University
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Text and Data Mining valid from 2026-04-27

Version of Record valid from 2026-04-27
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Article History

Received: 20 November 2025

Revised: 3 March 2026

Accepted: 21 March 2026

First Online: 27 April 2026

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work in this paper.

: The data used to support the findings of this study are available from the corresponding author upon request.

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