Application of Digital Image Monitoring System in Strain Measurement of Cantilever Steel Beam

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Abstract:

The realization of strain measurement based on digital image processing technique is discussed. Combined with the strain measurement principle and the optical imaging feature, considered the axisymmetrical and non-axisymmetrical distortion, the automatic surface-fitting calibration method based on region growing is adopted. Cubic polynomial is applied to establish the relationship between the object space and pixel coordinate system. The expectations based on wavelet coefficients are used for sub-pixel edge detection, measurement accuracy can reach 0.02 pixels. Accuracy of displacement for strain measurement achieves micrometer-level. The theoretic validity and practical feasibility of the system are proved by the strain measurement of a cantilever steel beam.

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112-117

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August 2010

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. Deng, A. Ben-Zvi, and J.B. Wiskel, B-spline approximation methods for digital image reconstruction in strain measurement, Journal of Materials Processing Technology, vol. 210, 2010, pp.593-602.

DOI: 10.1016/j.jmatprotec.2009.11.004

Google Scholar

[2] Chen Xiaoqiang, Zhu Hongping, and Wang Dansheng, Damage Detection for Beam Structures Based on Strain Test Data, Journal of Huazhong University of Science and Technology (Urban Science Edition), vol. 25, 2008, pp.207-210.

Google Scholar

[3] Li Penghui, Zhao Wenguang, and Wen Yinping, Application of Digital Image Monitoring System to Detecting a High Voltage Icing Conductor, Geo-spatial Information Science, vol. 12, 2009, pp.61-65.

DOI: 10.1007/s11806-009-0183-3

Google Scholar

[4] Scott S. Washburn and Nancy L. Nihan. Estimating link travel time with the mobilizer video image tracking system, Journal of Transportation Engineering, vol. 125, 1999, pp.15-201.

DOI: 10.1061/(asce)0733-947x(1999)125:1(15)

Google Scholar

[5] Li Jincheng and Yuan Baozong. Using vision technique for the bridge deformation detection, IEEE Acoustics, Speech, and Signal Processing , no. 2, 1988, pp.912-915.

Google Scholar

[6] Janne Koljonen and Jarmo T. Alander, Deformation image generation for testing a strain measurement algorithm, Optical Engineering, vol. 47, 2008, pp.1-13.

DOI: 10.1117/1.2993319

Google Scholar

[7] Luo Hongbin, Zhao Wenguang, and Wen Yinping, Application of CCD image monitoring system in detecting bridge structure, Journal of Huazhong University of Science and Technology (Urban Science Edition), vol. 23, 2006, pp.91-93, 96.

Google Scholar

[8] Ding Xinghao, Sub-pixel Edge Detection Based on Wavelet Transform, Chinese Journal of Scientific Instrument, vol. 26, 2005, pp.801-804.

Google Scholar