考虑桨距角的风力发电机组叶根螺栓的疲劳计算方法

刘兆; 张云飞

doi:doi:10.19912/j.0254-0096.tynxb.2024-0780

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考虑桨距角的风力发电机组叶根螺栓的疲劳计算方法

更新时间：2025-12-10

- 考虑桨距角的风力发电机组叶根螺栓的疲劳计算方法
- Issue 11, Pages: 574-580(2025)
- 作者机构：
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- DOI：doi:10.19912/j.0254-0096.tynxb.2024-0780
  CLC： K83
- Published Online：04 December 2025，
  
  Published：04 December 2025
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刘兆, 张云飞. 考虑桨距角的风力发电机组叶根螺栓的疲劳计算方法[J]. 2025, (11): 574-580.
DOI：

刘兆, 张云飞. 考虑桨距角的风力发电机组叶根螺栓的疲劳计算方法[J]. 2025, (11): 574-580. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0780.

摘要

在变速变桨控制策略的大型风力发电机组设计中

变桨令叶片进行转动

加之轮毂的结构不对称性

疲劳设计计算需要考虑叶根倾覆弯矩的大小、作用方向以及桨距角位置。介绍一种以载荷大小、方向和桨距角为输入变量的应力三维插值方法

在不过多增加有限元计算量的情况下

实现更为准确的叶根螺栓疲劳计算。以某厂家设计为例

对叶根载荷之间的关系和计算简化进行论述

应用有限元方法进行叶根螺栓应力分析

并以其结果为基础完成螺栓的三维应力插值和疲劳累计损伤计算。

Abstract

In the design of large wind turbines with variable speed pitch control strategy

due to the effect of pitch and the differences in the load bearing characteristics of the bolts at different pitch angle positions

it is necessary to take into account the magnitude and the direction of the overturning moment of the blade root

and the pitch angle in the fatigue calculation of the blade root bolts. This paper introduces a three-dimensional interpolation method of stresses with load magnitude

direction and pitch angle as input variables to realize more accurate fatigue calculation of blade root bolts without increasing the amount of finite element calculation. Taking a manufacturer’s design as an example

the relationship between the blade root loads and the simplification of the calculation have been discussed. Finite element method was used for the bolt stress analysis. On the basis of FEM results

the three-dimensional stress interpolation and fatigue cumulative damage calculation of the bolt have been completed.

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Keywords

references

IEC 61400 Part 1: Wind turbines-design requirements third edition2005-08[S].

ZHENG T S, CHEN N Z, YUAN L.Structural strength assessment for thin-walled blade root joint of floating offshore wind turbine (FOWT)[J]. Thin-walled structures, 2023, 191: 111057.

ZHENG T S, CHEN N Z.Time-domain fatigue assessment for blade root bolts of floating offshore wind turbine (FOWT)[J]. Ocean engineering, 2022, 262: 112201.

刘兆, 周慧珠. 直驱风电机组中发电机与机架螺栓连接的优化设计[J]. 机械设计, 2023, 40(2): 118-125.

刘兆, 周慧珠. 风力发电机组塔架螺栓连接公差问题研究[J]. 太阳能学报, 2022, 43(2): 408-414.

CHEN G C, WANG C Z, XIAO Z M.Effects of supporting structure and bolt connection on the fatigue life and carrying capacity of a slewing bearing[J]. Proceedings of the institution of mechanical engineers, part J: journal of engineering tribology, 2017, 231(6): 766-782.

DONG Z Y, ZHANG H L. Study on finite element model of bolt strength in blade root[J]. Applied mechanics and materials, 2013, 427/428/429: 221-224.

张荣, 何玉林, 牛兴海, 等. MW级风力发电机塔顶法兰连接系统有限元分析[J]. 制造业自动化, 2012, 34(23): 112-114, 121.

陈严, 田鹏, 刘雄, 等. 水平轴风力机轮毂强度分析方法研究[J]. 太阳能学报, 2010, 31(7): 912-916.

BUCHER C, EBERT M.Load carrying behavior of prestressed bolted steel flanges considering random geometrical imperfections[C]//8th ASCE Specialty Conference on Probabilistic And Structural Reliability. University of Notre Dame, USA, 2000.

LOCHAN S, MEHMANPARAST A, WINTLE J.A review of fatigue performance of bolted connections in offshore wind turbines[J]. Procedia structural integrity, 2019, 17: 276-283.

刘胜祥, 宋晓萍, 曾毅, 等. 随机载荷作用下的风力机高强度螺栓疲劳特性分析[J]. 太阳能学报, 2013, 34(2): 201-206.

Germanischer Lloyd Industrial Services GmbH, Guideline for the certification of wind turbines[M]. Hamburg, Germany: Germanischer Lloyd, 2010, 4-31, 5-10, 7-3—7-4.

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