Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 1465-1481 |
Seitenumfang | 17 |
Fachzeitschrift | Wind Energy Science |
Jahrgang | 9 |
Ausgabenummer | 7 |
Publikationsstatus | Veröffentlicht - 8 Juli 2024 |
Abstract
ASJC Scopus Sachgebiete
- Energie (insg.)
- Erneuerbare Energien, Nachhaltigkeit und Umwelt
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
Ziele für nachhaltige Entwicklung
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in: Wind Energy Science, Jahrgang 9, Nr. 7, 08.07.2024, S. 1465-1481.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Comparison of different cross-sectional approaches for the structural design and optimization of composite wind turbine blades based on beam models
AU - Werthen, Edgar
AU - Hardt, Daniel
AU - Balzani, Claudio
AU - Hühne, Christian
N1 - Publisher Copyright: © 2024 Copernicus Publications. All rights reserved.
PY - 2024/7/8
Y1 - 2024/7/8
N2 - During the preliminary design phase of wind turbine blades, the evaluation of many design candidates in a short period of time plays an important role. Computationally efficient methods for the structural analysis that correctly predict stiffness matrix entries for beam models including the (bend-twist) coupling terms are thus needed. The present paper provides an extended overview of available approaches and shows their abilities to fulfill the requirements for the composite design of rotor blades with respect to accuracy and computational efficiency. Three cross-sectional theories are selected and implemented to compare the prediction quality of the cross-sectional coupling stiffness terms and the stress distribution based on different multi-cell test cross-sections. The cross-sectional results are compared with the 2D finite element code BECAS and are discussed in the context of accuracy and computational efficiency. The analytical solution performing best shows very small deviations in the stiffness matrix entries compared to BECAS (below 1% in the majority of test cases). It achieved a better resolution of the stress distribution and a computation time that is more than an order of magnitude smaller using the same spatial discretization. The deviations of the stress distributions are below 10% for most test cases. The analytical solution can thus be rated as a feasible approach for a beam-based pre-design of wind turbine rotor blades.
AB - During the preliminary design phase of wind turbine blades, the evaluation of many design candidates in a short period of time plays an important role. Computationally efficient methods for the structural analysis that correctly predict stiffness matrix entries for beam models including the (bend-twist) coupling terms are thus needed. The present paper provides an extended overview of available approaches and shows their abilities to fulfill the requirements for the composite design of rotor blades with respect to accuracy and computational efficiency. Three cross-sectional theories are selected and implemented to compare the prediction quality of the cross-sectional coupling stiffness terms and the stress distribution based on different multi-cell test cross-sections. The cross-sectional results are compared with the 2D finite element code BECAS and are discussed in the context of accuracy and computational efficiency. The analytical solution performing best shows very small deviations in the stiffness matrix entries compared to BECAS (below 1% in the majority of test cases). It achieved a better resolution of the stress distribution and a computation time that is more than an order of magnitude smaller using the same spatial discretization. The deviations of the stress distributions are below 10% for most test cases. The analytical solution can thus be rated as a feasible approach for a beam-based pre-design of wind turbine rotor blades.
UR - http://www.scopus.com/inward/record.url?scp=85198263196&partnerID=8YFLogxK
U2 - 10.5194/wes-9-1465-2024
DO - 10.5194/wes-9-1465-2024
M3 - Article
AN - SCOPUS:85198263196
VL - 9
SP - 1465
EP - 1481
JO - Wind Energy Science
JF - Wind Energy Science
SN - 2366-7443
IS - 7
ER -