Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 7
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.
https://doi.org/10.5194/wes-9-1465-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 7
Research article
 | 
08 Jul 2024
Research article |  | 08 Jul 2024

Comparison of different cross-sectional approaches for the structural design and optimization of composite wind turbine blades based on beam models

Edgar Werthen, Daniel Hardt, Claudio Balzani, and Christian Hühne

Related authors

Uncertainty quantification of structural blade parameters for the aeroelastic damping of wind turbines: a code-to-code comparison
Hendrik Verdonck, Oliver Hach, Jelmer D. Polman, Otto Schramm, Claudio Balzani, Sarah Müller, and Johannes Rieke
Wind Energ. Sci., 9, 1747–1763, https://doi.org/10.5194/wes-9-1747-2024,https://doi.org/10.5194/wes-9-1747-2024, 2024
Short summary
On the influence of cross-sectional deformations on the aerodynamic performance of wind turbine rotor blades
Julia Sabrina Gebauer, Felix Konstantin Prigge, Dominik Ahrens, Lars Wein, and Claudio Balzani
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-91,https://doi.org/10.5194/wes-2024-91, 2024
Revised manuscript under review for WES
Short summary
Non-proportionality analysis of multiaxial fatigue stress histories in trailing edge adhesive joints of wind turbine rotor blades
Claudio Balzani and Pablo Noever Castelos
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2023-167,https://doi.org/10.5194/wes-2023-167, 2024
Revised manuscript under review for WES
Short summary
Model updating of a wind turbine blade finite element Timoshenko beam model with invertible neural networks
Pablo Noever-Castelos, David Melcher, and Claudio Balzani
Wind Energ. Sci., 7, 623–645, https://doi.org/10.5194/wes-7-623-2022,https://doi.org/10.5194/wes-7-623-2022, 2022
Short summary
Validation of a modeling methodology for wind turbine rotor blades based on a full-scale blade test
Pablo Noever-Castelos, Bernd Haller, and Claudio Balzani
Wind Energ. Sci., 7, 105–127, https://doi.org/10.5194/wes-7-105-2022,https://doi.org/10.5194/wes-7-105-2022, 2022
Short summary

Related subject area

Thematic area: Materials and operation | Topic: Material science and structural mechanics
Sensitivity of cross-sectional compliance to manufacturing tolerances for wind turbine blades
Vincent K. Maes, Terence Macquart, Paul M. Weaver, and Alberto Pirrera
Wind Energ. Sci., 9, 165–180, https://doi.org/10.5194/wes-9-165-2024,https://doi.org/10.5194/wes-9-165-2024, 2024
Short summary
Cyclic overlay model of p–y curves for laterally loaded monopiles in cohesionless soil
Junnan Song and Martin Achmus
Wind Energ. Sci., 8, 327–339, https://doi.org/10.5194/wes-8-327-2023,https://doi.org/10.5194/wes-8-327-2023, 2023
Short summary
Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinkles
Heloisa Guedes Mendonça, Lars Pilgaard Mikkelsen, Xiao Chen, Johannes Bode, Flemming Mortensen, Philipp Ulrich Haselbach, and Kim Branner
Wind Energ. Sci., 7, 2513–2525, https://doi.org/10.5194/wes-7-2513-2022,https://doi.org/10.5194/wes-7-2513-2022, 2022
Short summary
A model test study on the parameters affecting the cyclic lateral response of monopile foundations for offshore wind turbines embedded in non-cohesive soils
Dennis Frick and Martin Achmus
Wind Energ. Sci., 7, 1399–1419, https://doi.org/10.5194/wes-7-1399-2022,https://doi.org/10.5194/wes-7-1399-2022, 2022
Short summary

Cited articles

Behnel, S., Bradshaw, R., Citro, C., Dalcin, L., Seljebotn, D. S., and Smith, K.: Cython: The best of both worlds, Comput. Sci. Eng., 13, 31–39, https://doi.org/10.1109/MCSE.2010.118, 2011. a
Bir, G. S.: User's Guide to PreComp (Pre-Processor for Computing Composite Blade Properties), National Renewable Energy Laboratory, https://doi.org/10.2172/876556, 2006. a
Blasques, J.: User's Manual for BECAS: A cross section analysis tool for anisotropic and inhomogeneous beam sections of arbitrary geometry, no. 1785(EN) in Denmark, Forskningscenter Risoe, Risoe-R, Risø DTU – National Laboratory for Sustainable Energy, https://orbit.dtu.dk/en/publications/9a623506-af47-41d6-9d24-5ef0e5b762c1 (last access: 30 March 2024), 2012. a, b, c, d, e, f
Borri, M., Ghiringhelli, G. L., and Merlini, T.: Composite Beam Analysis Linear Analysis of Naturally Curved and Twisted Anisotropic Beams, United States Army, European Research Office of the US army, http://www.dtic.mil/dtic/tr/fulltext/u2/a252652.pdf (last access: 30 March 2024), 1992. a
Bottasso, C., Campagnolo, F., Croce, A., and Tibaldi, C.: Optimization-based study of bend-twist coupled rotor blades for passive and integrated passive/active load alleviation, Wind Energy, 16, 1149–1166, https://doi.org/10.1002/we.1543, 2012. a
More articles (40)
Download
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.

Read more
Altmetrics
Final-revised paper
Preprint