Camera-Based Vibration Measurement of the World War I Memorial Bridge in Portsmouth, New Hampshire
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main_20180510.pdf
Size
11.1 MB
Format
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Checksum (MD5)
e2561e02b020eda9387f8b3dc56b60bd
Author(s)
Chen, Justin
Adams, Travis M.
Sun, Hao
Bell, Erin S.
Buyukozturk, Oral
Date Issued
November 2018
Journal
Journal of Structural Engineering
Publisher
American Society of Civil Engineers (ASCE)
Citation
Chen, Justin et al. "Camera-Based Vibration Measurement of the World War I Memorial Bridge in Portsmouth, New Hampshire." Journal of Structural Engineering 144, 11 (November 2018): dx.doi.org/10.10/(asce)st.1943-541x.0002203.
Version
Original manuscript
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.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1061/(asce)st.1943-541x.0002203
