Nontarget Image-Based Technique for Small Cable Vibration Measurement
Publication: Journal of Bridge Engineering
Volume 13, Issue 1
Abstract
In this paper, a proof-of-concept image-based technique is proposed for measuring small cable vibration. The technique analyzes an image sequence of a vibrating cable segment captured by a camera. An optical flow method is used to calculate variation of optical intensity of an arbitrary selected region of interest (ROI) on the cable image sequence. The obtained optical flow vector provides the direction of vibration for the ROI on the cable segment, which then can be used to estimate displacement of the ROI on the image plane. Furthermore, actual displacement of the ROI can be extracted when some conditions are met. The proposed technique is validated both in the laboratory using a rigid pipe and in the field on a small pedestrian bridge cable. Results show that the technique is able to measure the pipe motion and the cable vibration accurately. The proposed technique requires only one commercial camera, and no prior camera calibration is needed. In addition, the use of an optical flow method eliminates the need to attach any target to the cable and makes the technique very easy to implement. Despite these advantages, the technique still needs further development before it can be applied to long-span bridge cables.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This study is supported by the Hong Kong Research Grants Council Competitive Earmarked Research Grant HKUST6294/03E.
References
Chang, C. C., and Ji, Y. F. (2005). “Sensing of low-frequency vibration using photogrammetric technique.” Proc., 2nd Int. Conf. on Structural Health Monitoring of Intelligent Infrastructure, Shenzhen, China, 325–334.
Chung, H., Liang, J., Kushiyama, S., and Shinozuka, M. (2004). “Digital image processing for nonlinear system identification.” Int. J. Non-Linear Mech., 39(5), 691–707.
Cunha, A., Caetano, E., and Delgado, R. (2001). “Dynamic tests on large cable-stayed bridge.” J. Bridge Eng., 6(1), 54–62.
Gonzalez, R. C., Woods, R. E., and Eddins, S. L. (2004). Digital image processing using Matlab, Pearson Education, Inc., N.J.
Hartley, R., and Zisserman, A. (2003). Multiple view geometry in computer vision, 2nd Ed., Cambridge University Press, Cambridge, U.K.
Hudson, D. E. (1979). “Reading and interpreting strong motion accelerograms.” EERI engineering monographs on earthquake criteria, structural design, and strong motion records, Vol. 1, Earthquake Engineering Research Institute, El Cerrito, Calif.
Irvine, H. M. (1981). Cable structures, MIT Press, Cambridge, Mass.
Jain, R., Kasturi, R., and Schunck, B. G. (1995). Machine vision, McGraw-Hill, New York.
Kinoshita, K., and Lindenbaum, M. (2000). “Camera model selection based on geometric AIC.” Proc., IEEE Conf. on Computer Vision and Pattern Recognition, Vol. 2, 514–519.
Lucas, B. D., and Kanade, T. (1981). “An iterative image registration technique with an application to stereo vision.” 7th Int. Joint Conf. on Artificial Intelligence (IJCAI), 674–679.
Main, J. A., and Jones, N. P. (2001). “Evaluation of viscous dampers for stay-cable vibration mitigation.” J. Bridge Eng., 6(6), 385–397.
Olaszek, P. (1999). “Investigation of the dynamic characteristic of bridge structures using a computer vision method.” Measurement, 25, 227–236.
Patsias, S., and Staszewski, W. J. (2002). “Damage detection using optical measurements and wavelets.” Struct. Health Monit., 1(1), 7–22.
Phelan, R. S., Sarkar, P. P., and Mehta, K. C. (2006). “Full-scale measurements to investigate rain-wind induced cable-stay vibration and its mitigation.” J. Bridge Eng., 11(3), 293–304.
Sonka, M., Hlavac, V., and Boyle, R. (1999). Image processing, analysis, and machine vision, PWS, Pacific Grove, Calif.
Starossek, U. (1994). “Cable dynamics—A review.” Struct. Eng. Int. (IABSE, Zurich, Switzerland), 3, 171–176.
Virlogeux, M. (1998). “Cable vibrations in cable-stayed bridges.” Proc., Int. Symp. on Advances in Bridge Aerodynamic, 213–233.
Wang, M. L. (2005). “Health monitoring and assessment of long-span bridges.” Proc., 2nd Int. Conf. on Structural Health Monitoring of Intelligent Infrastructure, 121–132.
Yoshida, J., Abe, M., Kumano, S., and Fujino, Y. (2003). “Construction of a measurement system for the dynamic behaviors of membrane by using image processing.” Structural Membrane 2003—Int. Conf. on Textile Composites and Inflatable Structures.
Information & Authors
Information
Published In
Journal of Bridge Engineering
Volume 13 • Issue 1 • January 2008
Pages: 34 - 42
Copyright
© 2008 ASCE.
History
Received: Jul 5, 2006
Accepted: Mar 2, 2007
Published online: Jan 1, 2008
Published in print: Jan 2008
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.