基于欧拉运动放大算法的桥梁振动分析方法研究

Abstract
Figure/Table
References (0)
Related Citation (15)

Abstract In this study, the Euler subtle motion amplification (MA) algorithm is applied to bridge vibration analysis. First, a series of digital images of bridge structures is continuously captured using an ordinary digital camera. Then, the micro-vibration of the bridge is amplified using the related algorithm of Euler MA. The time history image of the bridge specimen under conventional video sampling frequency is obtained by decomposing the amplified digital image. Lastly, the holographic dynamic displacement measurement results of the test bridge are obtained by analyzing the edge features of the marking points in the image sequences. The proposed analysis method is feasible compared with the displacement sensor and dial indicator. It can meet the application requirements of bridge dynamic displacement measurement. It can also perform preliminary quantitative analysis of several vibration characteristics of bridges and identify the micro-vibration displacements of a bridge structure.

Key words： bridge engineering bridge vibration analysis subtle motion amplification dynamic displacement edge detection

Received: 04 September 2018

Fund:Supported by the National Natural Science Foundation of China (No.51778094; No.71708068)

Corresponding Authors: CHU Xi E-mail: chuxi1986@163.com

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	CHU Xi
	ZHOU Zhi-xiang
	DENG Guo-jun
	DUAN Xin
	JIANG Xin

Cite this article:

CHU Xi,ZHOU Zhi-xiang,DENG Guo-jun, et al. Application of the Euler Motion Amplification Algorithm to Bridge Vibration Analysis[J]. Journal of Highway and Transportation Research and Development, 2019, 13(3): 52-61.

URL:

http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/ OR http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/Y2019/V13/I3/52

[1] MCDUFF D J, POH M Z, PICARD R W. Non-contact, Automated Cardiac Pulse Measurements Using Video Imaging and Blind Source Separation[J]. Optics Express, 2010, 18(10):10762-10774.
[2] LIU C, TORRALBA A, FREEMAN W T, et al. Motion Magnification[J]ACM Transactions on Graphics, 2005,24(3):519-526.
[3] SAND P, TELLER S. Particle Video:Long-range Motion Estimation Using Point Trajectories[J]. International Journal of Computer Vision, 2008, 80(1):72.
[4] TORRALBA A, MURPHY K P, FREEMAN W T. Shared Features for Multiclass Object Detection[J]. Toward Category-Level Object Recognition, 2006, 4170:345-361.
[5] FREEMAN W T, WILLSKY A S, SUDDERTH E B. Graphical Models for Visual Object Recognition and Tracking[J]. Thesis Massachusetts Institute of Technology, 2006,15(3):66-76.
[6] WU H Y, RUBINSTEIN M, SHIH E, et al. Eulerian Video Magnification for Revealing Subtle Changes in the World[J]. ACM Transactions on Graphics, 2012, 31(4):65.
[7] RUBINSTEIN M, SHAMIR A, AVIDAN S. Improved Seam Carving for Video Retargeting[J]. ACM Trans Graphics, 2008, 27(3):1-9.
[8] QIN Y. Eulerian Video Magnification for Revealing Subtle Changes[J]. Informatization Research, 2015,41(3):76-78(in Chinese).
[9] SUSHMA M, GUPTA A, SIVASWAMY J. Semi-automated Magnification of Small Motions in Videos[M]//MAJI P, GHOSH A, MURTY M N. Pattern Recognition and Machine Intelligence. Heidelberg:Springer, 2013:417-422.
[10] WADHWA N, RUBINSTEIN M, DURAND F, et al. Complex-valued Phase-based Eulerian Motion Modulation:US, US 20140072229 A1[P]. 2014.
[11] WADHWA N, RUBINSTEIN M, FREEMAN W T. Phase-based Video Motion Processing[J]. ACM Transactions on Graphics, 2013, 32(4):1-10.
[12] WADHWA N, RUBINSTEIN M, DURAND F, et al. Riesz Pyramids for Fast Phase-based Video Magnification[C]//IEEE International Conference on Computational Photography. Santa Clara:IEEE, 2014:1-10.
[13] CHENG M M, MITRA N J, HUANG X, et al. Global Contrast Based Salient Region Detection[J]. Pattern Analysis & Machine Intelligence IEEE Transactions on, 2015, 37(3):569-582.
[14] YUAN F L, VUONG C, WALKER P C, et al. Noninvasive Free Flap Monitoring Using Eulerian Video Magnification[J]. Case Reports in Otolaryngology, 2016, 2016:1-4.
[15] SUSHMA M, GUPTA A, SIVASWAMY J. Semi-automated Magnification of Small Motions in Videos[M]//MAJI P, GHOSH A, MURTY M N. Pattern Recognition and Machine Intelligence. Heidelberg:Springe, 2013:417-422.
[16] CHEN J G, WADHWA N, CHA Y J, et al. Modal Identification of Simple Structures with High-speed Video Using Motion Magnification[J]. Journal of Sound and Vibration, 2015, 345(6):58-71.
[17] DAVIS A, BOUMAN K L, CHEN J G, et al. Visual Vibrometry:Estimating Material Properties from Small Motions in Video[C]//IEEE Conference on Computer Vision and Pattern Recognition. Boston:IEEE Computer Society, 2015:5335-5343.
[18] GAO Shang-bing, XIE Zheng, PAN Zhi-geng. Novel Automatic Pavement Crack Detection Algorithm[J]. Journal of System Simulation, 2017, 29(9):2009-2015.(in Chinese)