A probabilistic fatigue life assessment method for wind turbine blade based on Bayesian GPR with the effects of pitch angle
Xiaoling Zhang,
Kejia Zhang,
Zhongzhe Chen
Abstract:The fatigue behavior of large wind turbine blades is complex and stochastic due to their complex structure and operating environment. This paper focuses on developing a probabilistic fatigue life assessment method for wind turbine blades considering the uncertainties from wind velocity, material mechanical properties, pitch angle, and layer thickness. To improve the efficiency of stochastic fatigue behavior analysis of wind turbine blade, unidirectional fluid‐structure coupling (UFSC) and bidirectional fluid‐s… Show more
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