Dynamic Response Analysis of Wind Turbine Structure to Turbulent Wind Load: Comparative Assessment in Time and Frequency Domains

被引:0
作者
Kelele, Hailay Kiros [1 ,2 ]
Kahsay, Mulu Bayray [2 ]
Nielsen, Torbjorn Kristian [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Energy & Proc Engn, N-7491 Trondheim, Norway
[2] Mekelle Univ, Sch Mech & Ind Engn, POB 231, Mekelle, Ethiopia
来源
APPLIED MECHANICS | 2023年 / 4卷 / 03期
关键词
dynamic response; turbulent wind load; wind turbine structure; time and frequency domains; modal analysis; Monte Carlo simulation; von Karman spectra; Newmark method; SIMULATION;
D O I
10.3390/applmech4030043
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This study investigates wind turbine structural dynamics using stochastic analysis and computational methods in both the time and frequency domains. Simulations and experiments are utilized to evaluate the dynamic response of a wind turbine structure to turbulent wind loads, with the aim of validating the results based on real wind farm conditions. Two approaches are employed to analyze the dynamic responses: the frequency domain modal analysis approach, which incorporates von Karman spectra to represent the turbulent wind loads, and the time domain Monte Carlo simulation and Newmark methods, which generate wind loads and determine dynamic responses, respectively. The results indicate that, for a larger number of samples, both methods consistently yield simulated turbulent wind loads, dynamic responses and peak frequencies. These findings are further validated through experimental data. However, when dealing with a smaller number of samples, the time domain analysis produces distorted results, necessitating a larger number of samples to achieve accurate findings, while the frequency domain method maintains accuracy. Therefore, the accurate analysis of wind turbine structural dynamics can be achieved using simulations in both the time and frequency domains, considering the importance of the number of samples when choosing between time domain and frequency domain analyses. Taking these considerations into account allows for a more comprehensive and robust analysis, ultimately leading to more effective outcomes.
引用
收藏
页码:841 / 855
页数:15
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