Non-contact measurement of the dynamic displacement of railway bridges using an advanced video-based system

Abstract This article describes the development of a non-contact dynamic displacement measurement system for railway bridges based on video technology. The system, consisting of a high speed video camera, an optical lens, lighting lamps and a precision target, can perform measurements with acquisition frame rates ranging from 64 fps to 500 fps, and be articulated with other measurement systems, which promotes its integration in structural health monitoring (SHM) systems. Preliminary tests of the system have shown that the measurements’ precision can be affected by: (i) movements of the camera stand and, therefore, rigid supports should be used and the camera should be protected from air flows; (ii) the distortion of the field of view, caused by the flow of heat waves generated by IR incandescent lighting and, therefore, the operating time of the lamps should be limited. The system was used to measure the displacement of a railway bridge’s deck, induced by the passage of trains at speeds between 120 km/h and 180 km/h, yielding a very good agreement between the results of displacement measurement obtained with the video system and with a LVDT. The achieved precision was below 0.1 mm for distances from the camera to the target up to 15 m, and in the order of 0.25 mm for a distance of 25 m. The application of an image processing technique at subpixel level resulted in real precisions generally inferior to the theoretical precisions.

[1]  Maria Helena de Aguiar Pereira e Pestana,et al.  Análise de Dados para Ciências Sociais: a Complementaridade do SPSS , 2008 .

[2]  James M. W. Brownjohn,et al.  Measurements of static and dynamic displacement from visual monitoring of the Humber Bridge , 1993 .

[3]  Armin B. Mehrabi,et al.  In-Service Evaluation of Cable-Stayed Bridges, Overview of Available Methods, and Findings , 2006 .

[4]  Jin-Hee Ahn,et al.  Structural dynamic displacement vision system using digital image processing , 2011 .

[5]  Do Hyoung Shin,et al.  Hibrid Approach of Cameras and GPS for Displacement Measurements of Super Long-Sapn Bridges , 2011 .

[6]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[7]  Bridge displacement measurement system using image processing , 2006 .

[8]  Y Ji,et al.  A novel image-based approach for structural displacement measurement , 2012 .

[9]  Jong-Jae Lee,et al.  A vision-based system for remote sensing of bridge displacement , 2006 .

[10]  Masanobu Shinozuka,et al.  Evaluation of Bridge Load Carrying Capacity Based on Dynamic Displacement Measurement Using Real-time Image Processing Techniques , 2006 .

[11]  Sung-Han Sim,et al.  Feasibility of displacement monitoring using low‐cost GPS receivers , 2013 .

[12]  Erin Santini Bell,et al.  Bridge condition assessment using digital image correlation and structural modeling , 2012 .

[13]  J. Douglas Faires,et al.  Numerical Analysis , 1981 .

[14]  Yl Xu,et al.  Wind and structural monitoring of long span cable-supported bridges with GPS , 2009 .

[15]  Chih-Chen Chang,et al.  Flexible Videogrammetric Technique for Three-Dimensional Structural Vibration Measurement , 2007 .

[16]  Chung Bang Yun,et al.  Smart structure technologies for civil infrastructures in Korea: recent research and applications , 2011 .

[17]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[18]  Piotr Olaszek,et al.  Investigation of the dynamic characteristic of bridge structures using a computer vision method , 1999 .

[19]  Kenneth R. White,et al.  Close-range photogrammetry applications in bridge measurement: Literature review , 2008 .

[20]  David Mas,et al.  High speed imaging and algorithms for non invasive vibrations measurement , 2011 .

[21]  Chung Bang Yun,et al.  Development and application of a vision-based displacement measurement system for structural health monitoring of civil structures , 2006 .

[22]  Joseph Morlier,et al.  New Image Processing Tools for Structural Dynamic Monitoring , 2007 .

[23]  Hani Nassif,et al.  Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration , 2005 .

[24]  Malgorzata Kujawinska,et al.  Monitoring of civil engineering structures using Digital Image Correlation technique , 2010 .

[25]  Carmelo Gentile,et al.  Deflection measurement on vibrating stay cables by non-contact microwave interferometer , 2010 .

[26]  Raimundo Delgado,et al.  Finite element model updating of a bowstring-arch railway bridge based on experimental modal parameters , 2012 .

[27]  David V. Jáuregui,et al.  Noncontact Photogrammetric Measurement of Vertical Bridge Deflection , 2003 .

[28]  Nam-Sik Kim,et al.  Multi-point Displacement Response Measurement of Civil Infrastructures Using Digital Image Processing , 2011 .

[29]  Carmelo Gentile,et al.  An interferometric radar for non-contact measurement of deflections on civil engineering structures: laboratory and full-scale tests , 2010 .