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Large-scale flexible wind turbines suffer nonlinear aeroelastic coupling and dynamic instability under unsteady multi-scale atmospheric wind fields. Gust characteristics and stochastic wind parameters dominate structural fatigue accumulation and blade failure. Targeting actual on-site wind field features, this study establishes a novel four-component dynamic wind load (FC-DWL) model based on field-monitored wind data. An ADAMS-MATLAB/Simulink co-simulation platform is developed by integrating a rigid-flexible coupled multi-body structural model and a revised blade element momentum (BEM) model. Quantitative sensitivity analysis is implemented to clarify the correlation between wind load parameters and turbine aeroelastic behaviors. The results indicate that higher gust peak speed aggravates the nonlinearity of transient aerodynamic loads, and extended gust duration accumulates structural vibration responses. Blade edgewise deformation presents higher wind-induced sensitivity than flapwise deformation; elevated stochastic wind peaks enlarge blade deflection, while reduced stochastic wind amplitude effectively suppresses structural vibration. The coupling effect of high-amplitude and long-duration gusts exacerbates blade bending-torsion coupled vibration. Two critical gust cycle thresholds for turbine dynamic stability are preliminarily proposed: three-cycle gusts trigger recoverable elastic vibration, whereas six-cycle continuous gusts induce irreversible structural dynamic instability. This study reveals the action mechanism of typical wind parameters, and provides a reliable co-simulation framework for wind turbine structural optimization and stability control.
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Li et al. (2026) studied this question.
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