Articles | Volume 9, issue 7
https://doi.org/10.5194/wes-9-1465-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1465-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Comparison of different cross-sectional approaches for the structural design and optimization of composite wind turbine blades based on beam models
Institute of Lightweight Systems, German Aerospace Center (DLR), Lilienthalplatz 7, 38108 Braunschweig, Germany
Daniel Hardt
Institute of Lightweight Systems, German Aerospace Center (DLR), Lilienthalplatz 7, 38108 Braunschweig, Germany
Claudio Balzani
Institute for Wind Energy Systems, Leibniz University Hannover, Appelstrasse 9A, 30167 Hanover, Germany
Christian Hühne
Institute of Lightweight Systems, German Aerospace Center (DLR), Lilienthalplatz 7, 38108 Braunschweig, Germany
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Aeroelastic stability simulations are needed to guarantee the safety and overall robust design of wind turbines. To increase our confidence in these simulations in the future, the sensitivity of the stability analysis with respect to variability in the structural properties of the wind turbine blades is investigated. Multiple state-of-the-art tools are compared and the study shows that even though the tools predict similar stability behavior, the sensitivity might be significantly different.
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Short summary
We provide a comprehensive overview showing available cross-sectional approaches and their properties in relation to derived requirements for the design of composite rotor blades. The Jung analytical approach shows the best results for accuracy of stiffness terms (coupling and transverse shear) and stress distributions. Improved performance compared to 2D finite element codes could be achieved, making the approach applicable for optimization problems with a high number of design variables.
We provide a comprehensive overview showing available cross-sectional approaches and their...
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