Operational Modal Analysis Based on Videogrammetric Technique

PDF(2043 KB)

Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (5) : 157-163.

WANG Tong,LI Junpo,XIA Zunping

Author information +

History +

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.

Key words

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

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

WANG Tong,LI Junpo,XIA Zunping. Operational Modal Analysis Based on Videogrammetric Technique[J]. Journal of Vibration and Shock, 2017, 36(5): 157-163

References

[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.