Technical Papers
Aug 31, 2018

Camera-Based Vibration Measurement of the World War I Memorial Bridge in Portsmouth, New Hampshire

Publication: Journal of Structural Engineering
Volume 144, Issue 11

Abstract

Structural health monitoring (SHM) is a method for determining the structural integrity of civil infrastructure elements as a basis for maintenance and repair protocols. This monitoring depends on collecting structural response data from sensors installed on the structure due to in-service excitations. The installation additionally requires access to structural elements, power, and communication. New methods for remote measurement of displacements using video cameras could greatly simplify the process of instrumentation, making SHM much more attainable for many structures. This paper presents the remote camera measurement of the motions of the World War I Memorial Bridge in Portsmouth, New Hampshire, a vertical-lift bridge, from a distance of over 80 m. Vibration frequencies and mode shapes of the bridge are identified by measuring the displacements due to the lift span impact. Displacement of the bridge due to in-service traffic is also measured. Measured signals are compared with those from accelerometers and strain gauges installed on the bridge, and identified characteristics of the bridge are compared with a finite-element model for verification. Results show the potential of applying video cameras to measure and visualize vibrations of structures in SHM.

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Acknowledgments

The authors acknowledge the support provided by Royal Dutch Shell through the MIT Energy Initiative, and thank chief scientists Dr. Dirk Smit and Dr. Sergio Kapusta, project managers Dr. Lorna Ortiz-Soto and Dr. Keng Yap, and Shell-MIT liaison Dr. Jonathan Kane for their oversight of this work. The authors also thank the NHDOT for access to the bridge. This material is based in part upon work supported by the National Science Foundation under PFI Grant No. 1430269 (The Living Bridge: The Future of Smart, User-Centered Transportation Infrastructure). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

References

Bell, E. S., P. J. Lefebvre, M. Sanayei, B. Brenner, J. D. Sipple, and J. Peddle. 2013. “Objective load rating of a steel-girder bridge using structural modeling and health monitoring.” J. Struct. Eng. 139 (10): 1771–1779. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000599.
Boynton, B. 2014. “Ship hits new memorial bridge.” The New Hampshire Gazette. Accessed March 7, 2014. http://www.nhgazette.com/2014/03/07/ship-hits-new-memorial-bridge/.
Caetano, E., S. Silva, and J. Bateira. 2011. “A vision system for vibration monitoring of civil engineering structures.” Exp. Tech. 35 (4): 74–82. https://doi.org/10.1111/j.1747-1567.2010.00653.x.
Chen, J. G. 2016. “Bridge FEA time history w/Damping.” https://www.youtube.com/watch?v=lqLzNJjR-gM.
Chen, J. G., A. Davis, N. Wadhwa, F. Durand, W. T. Freeman, and O. Büyüköztürk. 2016. “Video camera–based vibration measurement for civil infrastructure applications.” J. Infrastruct. Syst. 23 (3): B4016013. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000348.
Chen, J. G., N. Wadhwa, Y.-J. Cha, F. Durand, W. T. Freeman, and O. Buyukozturk. 2015. “Modal identification of simple structures with high-speed video using motion magnification.” J. Sound Vib. 345: 58–71. https://doi.org/10.1016/j.jsv.2015.01.024.
Chen, Y., C.-A. Tan, M. Q. Feng, and Y. Fukuda. 2006. “A video assisted approach for structural health monitoring of highway bridges under normal traffic.” Smart Struct. Mater. 6174: 61741V. https://doi.org/10.1117/12.658881.
Feng, D., H. Sun, and M. Q. Feng. 2015a. “Simultaneous identification of bridge structural parameters and vehicle loads.” Comput. Struct. 157: 76–88. https://doi.org/10.1016/j.compstruc.2015.05.017.
Feng, M. Q., Y. Fukuda, D. Feng, and M. Mizuta. 2015b. “Nontarget vision sensor for remote measurement of bridge dynamic response.” J. Bridge Eng. 20 (12): 04015023. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000747.
FHWA (Federal Highway Administration) and DOT. 2012. “Moving ahead for progress in the 21st century act (MAP-21): A summary of highway provisions.” Accessed July 17, 2012. http://www.fhwa.dot.gov/map21/summaryinfo.cfm.
Fleet, D. J., and A. D. Jepson. 1990. “Computation of component image velocity from local phase information.” Int. J. Comput. Vision 5 (1): 77–104. https://doi.org/10.1007/BF00056772.
Fuchs, P., G. Washer, S. Chase, and M. Moore. 2004. “Laser-based instrumentation for bridge load testing.” J. Perform. Constr. Facil. 18 (4): 213–219. https://doi.org/10.1061/(ASCE)0887-3828(2004)18:4(213).
Fukuda, Y., M. Q. Feng, Y. Narita, S. Kaneko, and T. Tanaka. 2013. “Vision-based displacement sensor for monitoring dynamic response using robust object search algorithm.” IEEE Sens. J. 13 (12): 4725–4732. https://doi.org/10.1109/JSEN.2013.2273309.
Gautama, T., and M. Van Hulle. 2002. “A phase-based approach to the estimation of the optical flow field using spatial filtering.” IEEE Trans. Neural Networks 13 (5): 1127–1136. https://doi.org/10.1109/TNN.2002.1031944.
Kim, S.-W., and N.-S. Kim. 2013. “Dynamic characteristics of suspension bridge hanger cables using digital image processing.” NDT & E Int. 59: 25–33. https://doi.org/10.1016/j.ndteint.2013.05.002.
Klingensmith, B., S. R. Burgess, T. A. Campbell, P. G. Sherman, M. Y. Feng, J. G. Chen, and O. Buyukozturk 2014. “Modular system for high-speed 24-Bit data acquisition of triaxial MEMS accelerometers for structural health monitoring research.” In Vol. 6 of Special Topics in Structural Dynamics, 313–320. Cham, Switzerland: Springer.
Lee, J. J., and M. Shinozuka. 2006. “A vision-based system for remote sensing of bridge displacement.” NDT & E Int. 39 (5): 425–431. https://doi.org/10.1016/j.ndteint.2005.12.003.
Lynch, J. P., Y. Wang, K. J. Loh, J.-H. Yi, and C.-B. Yun. 2006. “Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors.” Smart Mater. Struct. 15 (6): 1561–1575. https://doi.org/10.1088/0964-1726/15/6/008.
Mottershead, J., and M. Friswell. 1993. “Model updating in structural dynamics: A survey.” J. Sound Vibr. 167 (2): 347–375. https://doi.org/10.1006/jsvi.1993.1340.
Phares, B. M., G. A. Washer, D. D. Rolander, B. A. Graybeal, and M. Moore. 2004. “Routine highway bridge inspection condition documentation accuracy and reliability.” J. Bridge Eng. 9 (4): 403–413. https://doi.org/10.1061/(ASCE)1084-0702(2004)9:4(403).
Pieraccini, M., M. Fratini, F. Parrini, and C. Atzeni. 2006. “Dynamic monitoring of bridges using a high-speed coherent radar.” IEEE Trans. Geosci. Remote Sens. 44 (11): 3284–3288. https://doi.org/10.1109/TGRS.2006.879112.
Sanayei, M., J. E. Phelps, J. D. Sipple, E. S. Bell, and B. R. Brenner. 2012. “Instrumentation, nondestructive testing, and finite-element model updating for bridge evaluation using strain measurements.” J. Bridge Eng. 17 (1): 130–138. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000228.
Smyth, A., and M. Wu. 2007. “Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoring.” Mech. Syst. Sig. Process. 21 (2): 706–723. https://doi.org/10.1016/j.ymssp.2006.03.005.
Sun, H., and R. Betti. 2015. “A hybrid optimization algorithm with Bayesian inference for probabilistic model updating.” Comput.-Aided Civ. Infrastruct. Eng. 30 (8): 602–619. https://doi.org/10.1111/mice.12142.
Sun, H., and O. Büyüköztürk. 2015. “Identification of traffic-induced nodal excitations of truss bridges through heterogeneous data fusion.” Smart Mater. Struct. 24 (7): 075032. https://doi.org/10.1088/0964-1726/24/7/075032.
Sun, H., and O. Büyüköztürk. 2016. “Probabilistic updating of building models using incomplete modal data.” Mech. Syst. Signal Process. 75: 27–40. https://doi.org/10.1016/j.ymssp.2015.12.024.
Wadhwa, N., M. Rubinstein, F. Durand, and W. T. Freeman. 2013. “Phase-based video motion processing.” In Vol. 32 of Proc., Special Interest Group on Computer Graphics and Interactive Techniques 2013 Association for Computing Machinery Trans. Graph. Piscataway, NJ: IEEE.
Wadhwa, N., M. Rubinstein, F. Durand, and W. T. Freeman. 2014. “Riesz pyramid for fast phase-based video magnification.” In Proc., 2014 IEEE Int. Conf. on Computational Photography. Piscataway, NJ: IEEE.
Worden, K. 1990. “Data processing and experiment design for the restoring force surface method, Part I: Integration and differentiation of measured time data.” Mech. Syst. Signal Process. 4 (4): 295–319. https://doi.org/10.1016/0888-3270(90)90010-I.
Yang, Y., C. Dorn, T. Mancini, Z. Talken, S. Nagarajaiah, G. Kenyon, C. Farrar, and D. Mascareñas. 2017. “Blind identification of full-field vibration modes of output-only structures from uniformly-sampled, possibly temporally-aliased (sub-Nyquist), video measurements.” J. Sound Vibr. 390: 232–256. https://doi.org/10.1016/j.jsv.2016.11.034.
Yuen, K.-V., and S.-C. Kuok. 2011. “Bayesian methods for updating dynamic models.” Appl. Mech. Rev. 64 (1): 010802. https://doi.org/10.1115/1.4004479.
Zhou, Y. E. 2006. “Assessment of bridge remaining fatigue life through field strain measurement.” J. Bridge Eng. 11 (6): 737–744. https://doi.org/10.1061/(ASCE)1084-0702(2006)11:6(737).

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Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 144Issue 11November 2018

History

Received: Mar 31, 2017
Accepted: May 11, 2018
Published online: Aug 31, 2018
Published in print: Nov 1, 2018
Discussion open until: Jan 31, 2019

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Authors

Affiliations

Justin G. Chen [email protected]
Postdoctoral Associate, Dept. of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139. Email: [email protected]
Travis M. Adams [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of New Hampshire, Durham, NH 03824. Email: [email protected]
Hao Sun, A.M.ASCE [email protected]
Postdoctoral Associate, Dept. of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139. Email: [email protected]
Erin S. Bell, M.ASCE [email protected]
Chair and Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of New Hampshire, Durham, NH 03824. Email: [email protected]
Oral Büyüköztürk, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139 (corresponding author). Email: [email protected]

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