框架结构松动EEMD损伤识别实验研究

周文强; 肖黎; 屈文忠

doi:10.13433/j.cnki.1003-8728.2016.1101

框架结构松动EEMD损伤识别实验研究

doi: 10.13433/j.cnki.1003-8728.2016.1101

1.
武汉大学工程力学系, 武汉 430072

基金项目:

国家自然科学基金项目（51378402）资助

详细信息

作者简介:
周文强(1988-),硕士研究生,研究方向为结构健康监测,zwq1990127@163.com

通讯作者:
屈文忠(联系人),教授,博士生导师,qwz@whu.edu.cn

计量
- 文章访问数: 230
- HTML全文浏览量: 28
- PDF下载量: 9
- 被引次数: 0
出版历程
- 收稿日期: 2015-01-30
- 刊出日期: 2016-11-05

Study on Bolt Looseness Detection in Frame Structures using Ensemble Empirical Mode Decomposition

1.
Department of Engineering Mechanics, Wuhan University, Wuhan 430072, China

摘要

摘要: 针对连接结构在振动环境下易发生松动的问题，进行了框架结构模型连接松动损伤识别实验研究。根据螺钉在不同扭矩下的结构稳态响应信号，分析了信号功率谱差异和松动损伤引起的非线性特征，对响应信号进行了总体平均经验模式分解（EEMD），利用第1阶固有模式函数（IMF）构造能量损伤指标进行螺钉连接松动识别。结果表明，基于高频固有模式函数所构造的能量损伤指标可以有效表征不同扭矩下的连接松动所引起的结构非线性损伤，能够较好地反映螺钉连接结构的松动情况。
- 螺钉松动 /
- 损伤识别 /
- EEMD /
- 能量损伤指标
Abstract: In the vibration environment, bolted joints are tending to be loosed in service. Based on a bolted frame structure random vibration testing, a vibration-based bolt looseness detecting method is developed by analyzing response signal from bolt joints of various torque states in this paper. Through the discussion about differences of the power spectral density of signals, the nonlinearity of response caused by bolt looseness is analyzed. Using the high-frequency intrinsic mode functions which contain the frequency modulation ingredient based on ensemble empirical mode decomposition (EEMD), an effective energy-based damage index is established to detect the presence of the damage. The experimental result demonstrates that the proposed energy-based damage index based on high-frequency intrinsic mode functions can be used to accurately detect the nonlinear damage caused by bolt looseness under various torque states.
- bolt joints /
- damage detection /
- ensemble empirical mode decomposition /
- energy damage index

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参考文献(15)

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