Flutter Correlation Analysis and Aeroelastic Optimization of Wind Turbine Blades under Multi-conditions

doi:10.3901/JME.2024.20.300

Abstract

Abstract: Wind power blade stability involves many working conditions, many design parameters and complex flutter mechanism, which brings great challenges to blade design. To explore the implicit correlation between the layering design parameters and flutter characteristics of large wind turbine blades and the aerodynamic design rules, the blades of NREL 5MW wind turbine were taken as the research object, and the aerodynamic damping of blades under rotating and shutdown conditions was calculated based on the composite laminar theory, the modified blade element momentum theory, the Euler beam model and aerodynamic damping calculation method. The grey correlation degree and the person correlation coefficient were applied to obtain the multiple correlation graphs between blade layering design parameters and flutter characteristic parameters. Based on the aerodynamic damping optimization under multiple conditions, the optimal layup solution set and design knowledge were obtained, which provided methods and knowledge reference for the fine aero-elastic design of wind turbine blades. Results show that the aerodynamic damping of blade flutter is strongly related to the trailing edge foam thickness, carbon-fibre thickness, web spacing, and web foam thickness. There is a significant negative correlation between the first and second order flap-wise damping of the blade under rotation condition and shutdown condition, while the first order edgewise damping presents a significant positive correlation, and the second order edgewise damping has no obvious correlation. The increase of web spacing, web foam thickness, carbon fibre thickness, carbon fibre angle and trailing edge foam thickness produces enhanced aerodynamic damping blades under rotating and shutdown conditions.

Key words: wind turbine blades, structural dynamics, blade element momentum theory, flutter, aeroelastic coupling

CLC Number:

TK83

TANG Xinzi, LI Kexiang, HE Wenshuang, CHEN Rui, PENG Ruitao. Flutter Correlation Analysis and Aeroelastic Optimization of Wind Turbine Blades under Multi-conditions[J]. Journal of Mechanical Engineering, 2024, 60(20): 300-314.

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