基于经验模式分解的框架结构螺栓松动检测实验研究

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振动与冲击 ›› 2016, Vol. 35 ›› Issue (8) : 201-206.

论文

周文强，肖黎，屈文忠

作者信息 +

Detection of bolt looseness in frame structures using empirical mode decomposition

Wenqiang Zhou, li Xiao, Wenzhong Qu

Author information +

文章历史 +

摘要

螺栓松动损伤具有非线性特征，在低、高频激励共同作用下，结构动力响应会出现高频激励与结构固有频率之间的调制现象。利用该调制现象，本文发展了一种基于经验模式分解(EMD)的螺栓松动检测方法，分别对高频正弦和随机激励下结构响应信号进行EMD分解并作功率谱分析，采用EMD分解后含有调制成分的高频固有模式函数(IMF)构造能量损伤指标来识别结构螺栓松动。采用多尺度法进行单自由度非线性模型分析解释高频调制现象，并通过螺栓连接框架结构的振动实验验证了该方法的有效性。结果表明，螺栓松动时，响应信号频域中出现高频激励与固有频率间的调制成分，所构造的能量损伤指标能够有效识别螺栓松动损伤，并且对于初始松动损伤识别更为敏感。

Abstract

Bolt looseness is a nonlinear damage which would result in the occurrence of modulation between excitation frequency and natural frequencies by a combination of low and high frequency excitations. Using the vibration modulation, this paper develops a vibration-based method for detecting bolt looseness based on empirical mode decomposition (EMD).The response signal is analyzed for nonlinear modulation in frequency domain. Then, using the high-frequency intrinsic mode functions which contain the frequency modulation component based on EMD, an effective energy-based damage index is established to detect the presence of the nonlinear damage, with the analysis of energy distribution. A four-story frame structure vibration testing is carried out to investigate the feasibility of the method. The result of experiments demonstrates that modulation is occurred in the high-frequency component of response signals; the proposed energy-based damage index can be used to accurately detect nonlinear damage caused by bolt looseness and is sensitive to the structural early damage.

导出引用

周文强，肖黎，屈文忠. 基于经验模式分解的框架结构螺栓松动检测实验研究[J]. 振动与冲击, 2016, 35(8): 201-206

Wenqiang Zhou, li Xiao, Wenzhong Qu. Detection of bolt looseness in frame structures using empirical mode decomposition[J]. Journal of Vibration and Shock, 2016, 35(8): 201-206

参考文献

[1] 徐超, 周帮友, 刘信恩, 等. 机械螺栓连接状态监测和辨识方法研究进展[J]. 强度与环境, 2009, 36(2): 28-36.
Xu Chao, Zhou Bangyou, Liu Xinen, et al. A review of vibration-based condition monitoring and identification for mechanical bolted joints[J]. Structure & Environment Engineering, 2009, 36(2): 28-36.
[2] 陈学前, 杜强, 冯加权. 螺栓连接非线性振动特性研究 [J]. 振动与冲击, 2009, 28(7): 196-198.
Chen Xueqian, Du Qiang, Feng jiaquan. Nonlinear vibrational characteristic of bolt-joints[J]. Journal of Vibration and Shock. 2009, 28(7): 196-198.
[3] 郝淑英, 陈予恕. 连接结构松动对系统非线性动力学特性的影响[J]. 天津大学学报: 自然科学与工程技术版, 2001, 34(4): 452-454.
Hao Shuying, Chen Yushu, Zhang Qichang. Effects of connect loosing and sliding on dynamic characteristics[J]. Journal of Tianjin University, 2001, 34(4): 452-454.
[4] C J Hartwigsen, Y Song, et al. Experimental study of non-linear effects in a typical shear lap joint configuration[J]. Journal of Sound and Vibration, 277(2004): 327-351.
[5] Qiu L, Yuan S, Zhang X, et al. A time reversal focusing based impact imaging method and its evaluation on complex composite structures[J]. Smart Materials and Structures, 2011, 20(10): 105014
[6] 王强, 袁慎芳, 邱雷. 基于时间反转理论的复合材料螺钉连接失效监测研究[J]. 宇航学报, 2007, 28(6): 1719-1723.
Qiang Wang, Shenfang Yuan, Lei Qiu, et al. Study on Bolt Debonding Monitoring of Composite Joint Based on Time—reversal Method[J]. Journal of Astronautics, 2007, 28(6): 1719-1723.
[7] [7] 卫洪涛,孔宪仁,王本利,等.基于振型转换的螺栓连接梁非线性振动研究[J]. 振动与冲击,2014,33(12):42-47.
WEI Hong-tao,KONG Xian-ren,WANG Ben-li,et al.Non-linear dynamic response of a beam with bolted joint based on modal shape transfer[J]. Journal of Vibration and Shock,2014,33(12):42-47.
[8] Jaques J, Adams D. Using Impact Modulation to Identify Loose Bolts on a Satellite[R]. PURDUE UNIV LAFAYETTE IN, 2011.
[9] Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995
[10] Chen J. Application of empirical mode decomposition in structural health monitoring: Some experience[J]. Advances in Adaptive Data Analysis, 2009, 1(04): 601-621.
[11] Loutridis S J. Damage detection in gear systems using empirical mode decomposition[J]. Engineering Structures, 2004, 26(12): 1833-1841.
[12] Cheraghi N, Taheri F. A damage index for structural health monitoring based on the empirical mode decomposition[J]. Journal of Mechanics of Materials and Structures, 2007, 2(1): 43-61.
[13] Esmaeel R A, Taheri F. Application of a simple and cost-effective method for detection of bolt self-loosening in single lap joints[J]. Nondestructive Testing and Evaluation, 2013, 28(3): 208-225.
[14] Razi P, Esmaeel R A, Taheri F. Application of a robust vibration-based non-destructive method for detection of fatigue cracks in structures[J]. Smart Materials and Structures, 2011, 20(11): 115017.
[15] Ahmadian H, Jalali H. Identification of bolted lap joints parameters in assembled structures[J]. Mechanical Systems and Signal Processing, 2007, 21(2): 1041-1050.
[16] Luan Y, Guan Z Q, Cheng G D, et al. A simplified nonlinear dynamic model for the analysis of pipe structures with bolted flange joints[J]. Journal of Sound and Vibration, 2012, 331(2): 325-344.
[17] Nayfeh A H, Mook D T. Nonlinear oscillations[M]. John Wiley & Sons, 1979.
[18] Rezaei D, Taheri F. Health monitoring of pipeline girth weld using empirical mode decomposition[J]. Smart Materials and Structures, 2010, 19(5): 055016.