A Numerical Method for the Dynamics Analysis of Blade Fracture Faults in Wind Turbines Using Geometrically Exact Beam Theory and Its Validation

In pursuit of China’s goals for carbon peak and carbon neutrality, wind turbines are continually evolving to achieve a lower levelized cost of energy. The primary technological focus in the wind power industry is on large-scale, lightweight designs for entire turbines to enhance cost competitiveness...

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Bibliographic Details
Published inEnergies (Basel) Vol. 17; no. 4; p. 824
Main Authors Wu, Xianyou, Feng, Kai, Li, Qing’an
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.02.2024
Subjects
aeroelasticity
Air-turbines
blade fracture
Composite materials
Design
Failure analysis
geometrically exact beam
Load
Methods
nonlinear geometric large deformation
Numerical analysis
Offshore
Simulation
Simulation methods
Stress concentration
Turbines
Wind power
wind turbine
China
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Summary:In pursuit of China’s goals for carbon peak and carbon neutrality, wind turbines are continually evolving to achieve a lower levelized cost of energy. The primary technological focus in the wind power industry is on large-scale, lightweight designs for entire turbines to enhance cost competitiveness. However, this advancement has led to an increased risk of blade fractures under extreme operating conditions. This paper addresses this challenging issue by using geometrically exact beam theory to develop a nonlinear simulation model for long, flexible blades. The model accounts for sudden changes in blade properties at the moment of failure, covering both the extensive motions and deformations of the fractured blade. The validation of the proposed model is carried out by comparing the results from power production cases with bladed simulations and further validating the simulations of blade fracture load cases against measurement data. The methodologies and findings presented in this study offer valuable insights for diagnosing faults in wind turbines.
ISSN:1996-1073
1996-1073
DOI:10.3390/en17040824