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2025, 02, v.55 149-155
基于旋转采样谱的海上风机叶片翼尖摆振特性评估
基金项目(Foundation): 山东省重点研究发展计划项目(2021ZLGX04); 国家自然科学基金杰出青年基金项目(52125106);国家自然科学基金项目(U22A20243)资助~~
邮箱(Email): cs@ouc.edu.cn;
DOI: 10.16441/j.cnki.hdxb.20220423
投稿时间: 2022-10-04
投稿日期(年): 2022
终审时间: 2023-02-10
终审日期(年): 2023
审稿周期(年): 2
发布时间: 2025-01-14
出版时间: 2025-01-14
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摘要:

为了评估叶片旋转受风场作用的时频振动特性,本研究开展了基于旋转采样谱的海上风机叶片振动特性评估方法研究。以NREL-5 MW海上单桩风机叶片为研究对象,基于脉动风谱与旋转采样理论,对比分析了旋转风谱的能量扰动机制。然后,结合Prandtl叶尖损失修正和Grauert修正来评估叶片空气动力载荷,详细分析风机叶片翼尖在静止与运行状态下的摆振动力响应规律。结果表明,基于旋转采样谱的频域叶片翼尖摆振响应可准确表征风机叶片在运行状态下的1~3P(1~3倍风轮转动频率,0.2~0.6 Hz),同比湍流风作用的时域静态叶片摆振位移上限幅值增加42.21%,即考虑旋转效应对于叶片疲劳寿命评估具有重要工程价值。

Abstract:

To assess the time-frequency vibration characteristics of blade rotation subjected to wind fields, a novel research on the vibration characteristics of offshore wind turbine blades based on rotational sampling spectrum has been developed. The blade of the NREL-5 MW offshore monopile wind turbine has been used as the benchmark model to investigate wind-excited edgewise vibration of the typical blade tip. Firstly, the energy perturbation mechanisms of the rotational wind spectrum are analysed based on a comparison of the fluctuating wind and the rotational sampling theory. Then the blade aerodynamic loads are calculated by considering the Prandtl's blade tip loss correction and the Grauert correction. The dynamic response patterns of the wind turbine blade in the direction of edgewise at rest and in operation are analysed in detail. The results show that the blade tip edgewise response based on the rotational sampling spectrum can accurately characterize the rotational perturbation frequency of 1~3P(0.2~0.6 Hz) of the wind turbine blades under operating conditions in the frequency domain. Moreover, the upper limit amplitude of the edgewise displacement of the dynamic blade is 42.21% higher than that of the static blade response subjected to turbulent wind in the time domain. Therefore, consideration of rotational effects has important engineering value for blade fatigue life assessment.

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基本信息:

DOI:10.16441/j.cnki.hdxb.20220423

中图分类号:TM315

引用信息:

[1]刘强,郑涛,占晓明,等.基于旋转采样谱的海上风机叶片翼尖摆振特性评估[J].中国海洋大学学报(自然科学版),2025,55(02):149-155.DOI:10.16441/j.cnki.hdxb.20220423.

基金信息:

山东省重点研究发展计划项目(2021ZLGX04); 国家自然科学基金杰出青年基金项目(52125106);国家自然科学基金项目(U22A20243)资助~~

投稿时间:

2022-10-04

投稿日期(年):

2022

终审时间:

2023-02-10

终审日期(年):

2023

审稿周期(年):

2

发布时间:

2025-01-14

出版时间:

2025-01-14

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