基于频率法的风电机组混合塔筒拉索索力检测技术研究

doi:10.3901/JME.260062

机械工程学报 ›› 2026, Vol. 62 ›› Issue (2): 385-396.doi: 10.3901/JME.260062

• 可再生能源与工程热物理 • 上一篇

扫码分享

基于频率法的风电机组混合塔筒拉索索力检测技术研究

姚帅¹, 戴巨川¹, 吕伟荣²

1. 湖南科技大学机电工程学院湘潭 411201;
2. 湖南科技大学土木工程学院湘潭 411201

收稿日期:2025-03-30 修回日期:2025-06-25 发布日期:2026-03-02
作者简介:姚帅,男,1992年出生,博士研究生。主要研究方向为风电技术与装备。E-mail:yaoshuai@mail.hnust.edu.cn;戴巨川,男,1979年出生,博士,教授,博士研究生导师。主要研究方向为风电技术与装备。E-mail:daijuchuan@163.com;吕伟荣,男,1974年出生,博士,教授。主要研究方向为风电机组结构分析与振动控制。E-mail:lwrxm@126.com
基金资助:
国家自然科学基金资助项目(52075164)。

Research on Cable Force Detection Technology for Hybrid Tower Cables of Wind Turbines Based on the Frequency Method

YAO Shuai¹, DAI Juchuan¹, Lü Weirong²

1. School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201;
2. School of Civil Engineering, Hunan University of Science and Technology, Xiangtan 411201

Received:2025-03-30 Revised:2025-06-25 Published:2026-03-02

摘要/Abstract

摘要： 针对风电机组混合塔筒体外预应力拉索无约束构造及存在转向装置引发的索力检测精度不足问题，提出一种基于局部刚性耦合的检测技术，以提高索力检测精度。通过设计局部刚性耦合装置，利用索箍结合灌注的环氧树脂，有效改善频率法测试条件。基于欧拉梁振动理论，建立考虑局部刚性耦合装置和转向装置影响的拉索简化动力学模型，推导自振频率方程，并通过数值模拟验证模型的有效性。研究表明，拉索频率受转向装置的影响而表现为两段索频率的叠加，当转向装置支撑刚度大于1.5×10⁷ N/m时，索的频率叠加效应可忽略，模型可简化为两段简支拉索形式。现场试验采用加速度传感器采集拉索振动信号，结合简化模型计算索力，实测结果与理论值误差控制在1.03%以内，满足测试精度要求。研究验证了局部刚性耦合装置可有效提升检测精度，提出的简化动力学模型为混合塔筒拉索索力检测提供了实用技术方案。

关键词: 频率法, 风电机组, 混凝土-钢混合塔筒, 体外预应力拉索, 基频, 刚性耦合

Abstract: In response to the issue of insufficient accuracy in cable force detection caused by the unconstrained structure of the external prestressed cables of hybrid concrete-steel wind turbine towers and the presence of steering devices, a detection technology based on local rigid coupling is proposed to improve cable force detection accuracy. By designing a local rigid coupling device and using a cable band combined with injected epoxy resin, the testing conditions of the frequency method are effectively improved. Based on the Euler beam vibration theory, a simplified dynamic model of the cable considering the effects of local rigid coupling devices and steering devices was established. The natural frequency equation was derived, and the validity of the model was verified through numerical simulation. Evidence demonstrates that the cable frequency is influenced by the steering device, resulting in the superposition of the frequencies of the two segments. When the support stiffness of the steering device exceeds 1.5×10⁷ N/m, the frequency superposition effect of the cable can be neglected, and the model can be simplified to the form of two simply supported cables. Field tests used accelerometers to capture cable vibration signals, and the simplified model was used to calculate cable forces. The measured results had an error within 1.03% of the theoretical values, satisfying the testing accuracy requirements. It was verified that the local rigid coupling device can effectively increase detection accuracy, and the proposed simplified dynamic model provides a practical technical solution for the detection of cable force in hybrid tower masts.

Key words: frequency method, wind turbine, hybrid concrete-steel tower, external prestressed cables, fundamental frequency, rigid coupling

中图分类号:

TK83

姚帅, 戴巨川, 吕伟荣. 基于频率法的风电机组混合塔筒拉索索力检测技术研究[J]. 机械工程学报, 2026, 62(2): 385-396.

YAO Shuai, DAI Juchuan, Lü Weirong. Research on Cable Force Detection Technology for Hybrid Tower Cables of Wind Turbines Based on the Frequency Method[J]. Journal of Mechanical Engineering, 2026, 62(2): 385-396.

参考文献

[1] DAI Juchuan,YANG Xin,WEN Li. Development of wind power industry in China:A comprehensive assessment[J].Renewable and Sustainable Energy Reviews,2018,97:156-164.
[2] ZHENG Rui,LIU Lihua,ZHAO Xia,et al. Investigation of measurability and reliability of adhesive-bonded built-in fiber bragg grating sensors on steel wire for bridge cable force monitoring[J]. Measurement,2018,129:349-357.
[3] YAO Yadong,YAN Meng,BAO Yi. Measurement of cable forces for automated monitoring of engineering structures using fiber optic sensors:A review[J].Automation in Construction,2021,126:103687.
[4] GAO Junqi,SHI Bin,ZHANG Wei,et al. Monitoring the stress of the post-tensioning cable using fiber optic distributed strain sensor[J]. Measurement,2006,39(5):420-428.
[5] SUMITRO S,KUROKAWA S,SHIMANO K,et al.Monitoring based maintenance utilizing actual stress sensory technology[J]. Smart Materials and Structures,2005,14(3):68-78.
[6] ZUI H,SHINKE T,NAMITA Y. Practical formulas for estimation of cable tension by vibration method[J].Journal of Structural Engineering,1996,122(6):651-656.
[7] 任伟新,陈刚.由基频计算拉索拉力的实用公式[J].土木工程学报,2005(11):26-31.REN Weixin, CHEN Gang. Practical formulas to determine cable tension by using cable fundamental frequency[J]. China Civil Engineering Journal,2005(11):26-31.
[8] DUAN Yuanfeng,ZHANG Ru,DONG Chuanzhi,et al.Development of elasto-magneto-electric(EME)sensor for in-service cable force monitoring[J]. International Journal of Structural Stability and Dynamics,2016,16(4):1640016.
[9] JIA Junfeng,ZHANG Longguan,OU Jinping,et al.Nondestructive testing and health monitoring techniques for structural effective prestress[J]. Structural Control and Health Monitoring,2023,2023:1-30.
[10] 方志,张智勇.斜拉桥的索力测试[J].中国公路学报,1997(1):51-58.FANG Zhi,ZHANG Zhiyong. Test of cable tension in cable-stayed bridges[J]. China Journal of Highway and Transport,1997(1):51-58.
[11] 赵跃宇,周海兵,金波,等.弯曲刚度对斜拉索非线性固有频率的影响[J].工程力学,2008(1):196-202.ZHAO Yueyu,ZHOU Haibing,JIN Bo,et al. Influence of bending rigidity on nonlinear natural frequency of inclined cable[J]. Engineering Mechanics, 2008(1):196-202.
[12] FU Zhongqiu,JI Bohai,WANG Qiudong,et al. Cable force calculation using vibration frequency methods based on cable geometric parameters[J]. Journal of Performance of Constructed Facilities,2017,31(4):04017021.
[13] 刘红波,王龙轩,郭刘潞,等.基于深度学习的建筑用短粗拉索索力智能识别[J].建筑结构学报,2023,44(9):204-213.LIU Hongbo,WANG Longxuan,GUO Liulu,et al.Intelligent identification of cable force for short and thick cables in buildings based on deep learning[J]. Journal of Building Structures,2023,44(9):204-213.
[14] LI Mengyu,XU Yanwei,GAO Hui,et al. Dynamic behaviors of a two-cable network with two negative stiffness dampers and a cross-tie[J]. Structural Control and Health Monitoring,2024,2024(1):4254998.
[15] ZHANG Lifeng, YANG Song, CHEN Fan, et al.Parametric dynamic analysis of a double-hanger system via rigid cross-ties in suspension bridges[J]. Structures,2022,37:849-857.
[16] AHMAD J,CHENG Shaohong. Effect of cross-link stiffness on the in-plane free vibration behaviour of a two-cable network[J]. Engineering Structures,2013,52:570-580.
[17] IRVINE H M. Cable structures[M]. Cambridge:The MIT Press,1981.
[18] 陈炜,王荣辉,周浩恩,等.考虑抗弯刚度的耦合吊索自振特性研究[J].华南理工大学学报(自然科学版),2020,48(7):143-154.CHEN Wei,WANG Ronghui,ZHOU Haoen,et al.Research on natural vibration characteristics of coupling hangers considering bending stiffness[J]. Journal of South China University of Technology(Natural Science Edition),2020,48(7):143-154.
[19] 张卓杰,谷利雄,王东强,等.刚性耦合对多索股结构自振特性的影响[J].铁道学报,2021,43(7):153-160.ZHANG Zhuojie,GU Lixiong,WANG Dongqiang,et al.Influence of rigid coupling on natural vibration characteristics of multi-strand cables[J]. Journal of the China Railway Society,2021,43(7):153-160.
[20] RAO S S. Vibration of continuous systems[M]. 2nd ed.Hoboken:John Wiley&Sons Ltd,2019.
[21] MOHAN P. A critical review:The modification,properties, and applications of epoxy resins[J].Polymer-Plastics Technology and Engineering,2013,52(2):107-125.
[22] 江见鲸.混凝土结构工程学[M].北京:中国建筑工业出版社,1998.JIANG Jianjing. Concrete structure engineering[M].Beijing:China architecture&Building Press,1998.

基于频率法的风电机组混合塔筒拉索索力检测技术研究

Research on Cable Force Detection Technology for Hybrid Tower Cables of Wind Turbines Based on the Frequency Method

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	肖钊, 曹智辉, 邓杰文, 段书用, 赵前程, 戴巨川, 陶洁. 融合光纤传感数据与门控循环神经网络的风电机组载荷预测方法[J]. 机械工程学报, 2025, 61(8): 272-282.
[2]	朱永超, 朱才朝, 谭建军, 冉峯, 宋朝省. 考虑数据特征差异的风电齿轮箱群组健康状态预测研究[J]. 机械工程学报, 2024, 60(18): 64-75.
[3]	余晓霞, 汤宝平, 王伟影, 吴宣勇, 李彪. 复杂工况条件下多头注意力双向长短时记忆网络的风电机组缺失数据修复方法研究[J]. 机械工程学报, 2023, 59(14): 1-9.
[4]	张晓英, 吴宏强, 舒子江, 王琨, 陈伟. 基于PCA和改进ABC-K聚类算法的双馈机组风电场等值建模^*[J]. 电气工程学报, 2023, 18(1): 201-210.
[5]	谭建军, 朱才朝, 李浩, 宋朝省, 董晔弘. 基础运动对漂浮式风电机组齿轮箱传动系统附加激励的影响[J]. 机械工程学报, 2023, 59(1): 35-49.
[6]	肖钊, 邓杰文, 刘晓明, 段书用, 许守亮. 基于运行规律和TICC算法的风电SCADA高维时序数据聚类方法[J]. 机械工程学报, 2022, 58(23): 196-207.
[7]	胡松涛, 石文泽, 卢超, 陈果, 沈功田. 高速铁路道岔尖轨轨底伤损SH导波原位检测方法研究[J]. 机械工程学报, 2021, 57(18): 2-14.
[8]	王昊, 郝万君, 李泽, 崔国增, 吴宇, 张正夫, 孙志辉. 基于滑模观测器的风力机故障快速重构方法设计[J]. 机械工程学报, 2021, 57(14): 261-269,281.
[9]	董兴辉, 李佳, 高迪, 郑凯. 风电机组效能和性能统一评估模型研究[J]. 机械工程学报, 2021, 57(14): 253-260.
[10]	党存禄, 李旭鹏, 孙海斌, 武文成. 双馈风电机组次同步控制相互作用的抑制方法 ^*[J]. 电气工程学报, 2021, 16(1): 119-126.
[11]	张帆, 刘德顺, 戴巨川, 王超, 沈祥兵. 一种基于SCADA参数关系的风电机组运行状态识别方法[J]. 机械工程学报, 2019, 55(4): 1-9.
[12]	包广清,李媛,马明,汪宁渤. 减载运行方式下直驱永磁风电机组虚拟同步控制策略 ^*[J]. 电气工程学报, 2019, 14(3): 47-53.
[13]	吴英思, 刘飞, 吴斌, 何存富, 杜文亮. 基于水平剪切波声弹特性的矩形管轴向应力检测方法与试验研究[J]. 机械工程学报, 2019, 55(10): 27-33.
[14]	陈明,陈永军,李力森. 变频柜在风电机组塔底工作的散热研究[J]. 电气工程学报, 2018, 13(5): 33-39.
[15]	董兴辉, 张鑫淼, 张光, 王帅. 基于云模型的风电机组输出功率特性分析[J]. 机械工程学报, 2017, 53(22): 198-205.