| Issue |
Mechanics & Industry
Volume 27, 2026
|
|
|---|---|---|
| Article Number | 15 | |
| Number of page(s) | 15 | |
| DOI | https://doi.org/10.1051/meca/2025035 | |
| Published online | 06 April 2026 | |
Original Article
Dynamic characteristics of floating offshore multi-turbine platforms with flexible constraints
1
College of Intelligent Manufacturing, Qingdao Huanghai University, Qingdao 266427, PR China
2
College of Mechatronic Engineering China University of Petroleum (East China), Qingdao 266580, PR China
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
9
July
2025
Accepted:
1
December
2025
Abstract
Due to the complexity of analyzing the structural strength of offshore floating wind power platforms under combined wind, wave, and current loads, the research developed a flexible constraint-based method for strength analysis of floating structures. A dynamic model of the floating structure was established using finite element virtual constraint mechanics, incorporating d'Alembert's inertia release theory. The accuracy and advantages of the proposed theoretical method were validated through comparisons of numerical simulations and experimental test results. Compared to traditional quasi-static and equivalent dynamic analysis methods, the flexible constraint-based strength analysis method presented in this study yielded overall stress results that most closely matched experimental data, improving stress analysis accuracy by approximately 19%. The findings indicate that the maximum stress under combined wind, wave, and current loading reaches 138 MPa, with the most critical location being the connection between the cross brace and the buoy. These results provide theoretical support and methodological guidance for the strength and safety assessment of large, complex floating structures in marine environments.
Key words: Flexible constraints / floating bodies / theoretical models / dynamic response / model test
© J. Zhu and Q. Zhao, Published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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