Long Deck Suspension Bridge Monitoring: The Vision System Calibration Problem

:  Structural Health Monitoring is an emergent powerful diagnostic tool that can be used to identify and to prevent possible failures of the various components that comprise an infrastructure. In the particular case of a suspension bridge, the measurement of the vertical and transversal displacements plays an important role for its safety evaluation. Taking into account the restrictions usually found on these structures, an enhanced solution comprises a non-contact vision-based measurement system with dynamic response, accuracy and amplitude range well suited to the physical phenomenon to measure. The paper describes a methodology to perform the vision system calibration that can be carried out in-situ, while the deck is moving, requiring little effort and a minimum set of information. Specifically, only a set of active targets fixed on the deck and the knowledge about the distances between them is required. Results related to the performance evaluation, obtained by numerical simulation and by real experiments with a reduced structure model, are presented and they show that, even in an environment severely affected by disturbance noise, it is possible to measure the vertical and transversal displacements with a standard accuracy better than 10 mm.

[1]  B Glisic,et al.  Monitoring a harbor structure during reinforcement using aGPS-based monitoring system , 2003 .

[2]  Takeo Kanade,et al.  Shape and motion from image streams under orthography: a factorization method , 1992, International Journal of Computer Vision.

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

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

[5]  Christian Rocken,et al.  Propagation delays induced in GPS signals by dry air, water vapor, hydrometeors, and other particulates , 1999 .

[6]  Maria Q. Feng,et al.  Cost‐effective vision‐based system for monitoring dynamic response of civil engineering structures , 2010 .

[7]  Cs Fraser,et al.  Deformation Monitoring of Reinforced Concrete Bridge Beams , 2002 .

[8]  Sami F. Masri,et al.  A vision-based approach for the direct measurement of displacements in vibrating systems , 2003 .

[9]  Mehmet Çelebi,et al.  GPS in Pioneering Dynamic Monitoring of Long-Period Structures , 2002 .

[10]  Shun-ichi Nakamura,et al.  GPS MEASUREMENT OF WIND-INDUCED SUSPENSION BRIDGE GIRDER DISPLACEMENTS , 2000 .

[11]  Long Quan,et al.  Self-calibration of an affine camera from multiple views , 1996, International Journal of Computer Vision.

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

[13]  Ernõ Pungor Comments on “K. L. Cheng, Capacitor Theory for Nonfaradaic Potentiometry. Microchemical Journal 1990, 42, 524” and Reply to “Comments on ‘E. Pungor, The New Theory of Ion Selective Electrodes. Sensors 2001, 1, 1-12’ ” , 2004, Sensors (Basel, Switzerland).