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输电铁塔螺栓连接结构健康监测技术进展与展望
引用本文:张武能,汪毅,张留斌,吴克华,王晓晨.输电铁塔螺栓连接结构健康监测技术进展与展望[J].中国电力,2021,54(2):18-26.
作者姓名:张武能  汪毅  张留斌  吴克华  王晓晨
作者单位:1. 河南九域恩湃电力技术有限公司,河南 郑州 450000;2. 国网河南省电力有限公司电力科学研究院,河南 郑州 450000
基金项目:国家自然科学基金资助项目(高超音速气流中受热壁板的屈曲/振动模态演变及分岔研究,No.12002280)。
摘    要:输电铁塔的局部螺栓连接结构在服役过程中,受到环境静/动载荷的作用,会发生预紧力减小或松动等故障,降低整体输电铁塔结构的承载能力。因此发展输电铁塔螺栓连接结构健康监测技术对电网输电塔线体系的安全可靠运行具有重要意义。对螺栓连接结构的典型结构健康监测技术研究进展进行综述,包括基于动力学理论、导波理论、声弹性效应和计算机视觉技术的结构健康监测技术,介绍这些技术的基本原理和发展现状,并在此基础上对输电铁塔螺栓连接结构健康监测技术进行总结和展望。

关 键 词:输电铁塔  螺栓连接结构  结构健康监测  松动状态  声弹性效应  计算机视觉  
收稿时间:2020-05-08
修稿时间:2020-12-02

Development and Prospect of Structure Health Monitoring Technologies for Bolted Joints of Transmission Towers
ZHANG Wuneng,WANG Yi,ZHANG Liubin,WU Kehua,WANG Xiaochen.Development and Prospect of Structure Health Monitoring Technologies for Bolted Joints of Transmission Towers[J].Electric Power,2021,54(2):18-26.
Authors:ZHANG Wuneng  WANG Yi  ZHANG Liubin  WU Kehua  WANG Xiaochen
Affiliation:1. Henan Jiuyu Enpai Power Technology Co., Ltd., Zhengzhou 450000, China;2. Electric Power Research Institute, State Grid Henan Electric Power Co., Ltd., Zhengzhou 450000, China
Abstract:The bolted joints of transmission towers in service are subjected to the environmental random static/dynamic loading,frequently leading to the reduction or loosening of pre-tightening stress, and as a result reducing the total bearing capacities of transmission towers. Therefore, it is of great significance for the safety and reliability of the transmission towers to develop the structure health monitoring(SHM) technology. We make a review on the research progress of several typical SHM technologies for bolted joints, including technologies based on the dynamics theory, guided wave theory, acoustoelasticity effect and computer vision technology. Their basic principles and development status are introduced and discussed. Finally the DHM technologies for the transmission tower bolted joints are summarized and prospected.
Keywords:transmission tower  bolted joints  structure health monitoring  loosening status  acoustoelasticity effect  computer vision
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