基于视频测量的运行状态模态分析

王彤,李俊坡,夏遵平

振动与冲击 ›› 2017, Vol. 36 ›› Issue (5) : 157-163.

PDF(2043 KB)
PDF(2043 KB)
振动与冲击 ›› 2017, Vol. 36 ›› Issue (5) : 157-163.
论文

基于视频测量的运行状态模态分析

  • 王彤,李俊坡,夏遵平
作者信息 +

Operational Modal Analysis Based on Videogrammetric Technique

  • WANG Tong,LI Junpo,XIA Zunping
Author information +
文章历史 +

摘要

视频测量技术通过摄像机记录被测结构的振动过程,采用图像处理方法实现对结构上测点的多目标跟踪,具备全场非接触、测试过程简便、测量精度高等突出优点。论文基于摄像机成像模型,采用光束法平差提取出结构测点三维方向位移振动信息,每个测点等效于一个三轴“微位移传感器”,对多测点目标跟踪可视为多通道同步数据采集。首先对摄像机成像系统进行校准,依照结构形状特性分布测点,由结构静止时各测点的空间位置构建出测试结构的几何模型,然后进行视频采集和多目标跟踪获取各测点动态响应数据,采用运行状态模态分析方法,识别出被测结构的固有模态参数。论文基于视频测量实现了测试结构几何建模和信号采集,并与模态分析软件紧密结合,形成了完整的视频采集与分析系统,具备良好的空间域展现能力,特别适用于柔性低频结构的动态测试与分析。以轻质风扇叶片、若干树叶等结构为对象进行实验研究,验证了本文技术和方法的有效性。

Abstract

Videogrammetric technique is an easy-to-use,non-intrusive and high-precision measurement method.The vibration process of a tested structure is recorded by using cameras,then the movements of multiple measurement points are tracked by image processing and multi-object tracking techniques.The 3D displacements of each measurement point are extracted by using the camera imaging model and the bundle adjustment methods.In this sense,a measurement point can be taken as a micro three-axis displacement transducer,and the multi-object tracking of measurement points can be considered as synchronized multi-channel data acquisition.Here,the geometric model of the measuring configuration was firstly set up by linking the spatial measurement points under the stationary state of the tested structure.Then the dynamic displacement responses were extracted with the video acquisition and multi-object tracking.Finally the operational modal analysis was performed to identify the modal parameters of the structure.Namely,based on the videogrammetric technique,the geometric modeling of the measuring configuration and signal acquisition were realized.Closely integrated with the modal analysis software,the complete video acquisition and analysis system was formed.It was shown that the system has a good ability to reveal the spatial domain,it is especially,technique and method were suitable for dynamic testing and analysis of  flexible lower frequency structures.The proposed successfully applied to tests of a light fan blade and some different leaves,their effectiveness was verified. 

关键词

视频测量 / 多目标跟踪 / 运行状态模态分析 / 模态参数

Key words

videogrammetric technique / multi-target tracking / operational modal analysis;modal parameters

引用本文

导出引用
王彤,李俊坡,夏遵平. 基于视频测量的运行状态模态分析[J]. 振动与冲击, 2017, 36(5): 157-163
WANG Tong,LI Junpo,XIA Zunping. Operational Modal Analysis Based on Videogrammetric Technique[J]. Journal of Vibration and Shock, 2017, 36(5): 157-163

参考文献

[1] Wang T, Zhang L, Tamura Y. An operational modal analysis method in frequency and spatial domain [J]. Earthquake Engineering & Engineering Vibration, 2005, 4(2):295-300.
[2] Yu Qing-feng, Shang Yang. Videometrics:Principles and Researches [M]. Beijing: Science Press, 2009: 65-68.
[3] Yang J, Peng C, Xiao J, et al. Application of videometric technique to deformation measurement for large-scale composite wind turbine blade [J]. Applied Energy, 2012, 98(1):292–300.
[4] Jurjo D L B R, Magluta C, Roitman N, et al. Analysis of the structural behavior of a membrane using digital image processing [J]. Mechanical Systems & Signal Processing, 2015, 54:394–404.
[5] Burner A W, Liu T. Videogrammetric model deformation measurement technique [J]. Journal of Aircraft, 2001, 38(4): 745-754.
[6] Liu T, Barrows D A, Burner A W, et al. Determining Aerodynamic Loads Based on Optical Deformation Measurements [J]. Aiaa Journal, 2002, 40(6):1105-1112.
[7] Chang C C, Ji Y F. Flexible Videogrammetric Technique for Three-Dimensional Structural Vibration Measurement [J]. Journal of Engineering Mechanics, 2014, 133(6):656-664.
[8] 郑翔,高建和,杨福俊,等. DICM在发动机模态参数识别中的试验研究[J]. 振动、测试与诊断,2010,30(3):280-285.
Zheng Xiang, Gao Jian-he, Yang Fu-jun, et al. Experimental study on modal parameter identification of engine using digital image correlation method [J]. Journal of Vibration, Measurement& Diagnosis, 2010, 30(3): 280-285.
[9] 孙伟,何小元,黄跃平,等. 拉索模型模态参数识别的实验研究[J]. 工程力学,2008,25(06):88-93.
Sun Wei, He Xiao-yuan, Huang Yao-ping, et al. Experimental study on identification of modal parameters of cable [J]. Engineering Mechanics, 2008, 25(06): 88-93.
[10] 许畅,王聪,高晶波,等. 基于摄像测量法的在轨柔性结构模态参数辨识[J]. 哈尔滨工业大学学报,2014,11(46):17-23.
Xu Chang, Wang Cong, Gao Jing-bo, et al. Videogrammetric based modal identification of on-orbit flexible structures [J]. Journal of Harbin Institute of Technology, 2014, 11(46): 17-23.
[11] 王彤,张令弥. 运行模态分析的频域空间域分解法及其应用[J]. 航空学报,2006,27(1):62-66.
Wang Tong, Zhang Ling-mi. Frequency and spatial domain decomposition for operational modal analysis and its application [J]. Acta Aeronautica et Astronautica Sinica, 2006, 27(1): 62-66.
[12] Zhang Z. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330–1334.
[13] Mikolajczyk K, Tuytelaars T, Schmid C, et al. A Comparison of Affine Region Detectors [J]. International Journal of Computer Vision, 2005, 65(1-2):43-72.
[14] Shi J, Tomasi C. Good features to track[C]. Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on IEEE, 1994:593-600.

PDF(2043 KB)

Accesses

Citation

Detail

段落导航
相关文章

/