Field Monitoring of a Corrugated Steel Culvert Using Multiple Sensing Technologies
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 11, Issue 3
Abstract
Quantitative measurements are necessary to support accurate assessments of culverts; however, the choice of which sensor to employ to support these assessments is often not clear. An in-service corrugated steel culvert with a 3.1-m span was tested under static truck loading and monitored with fiber-optic strain sensors, a total station, digital image correlation (DIC), and lidar. Distributions of strains around the circumference were successfully captured by fiber-optic sensors, showing how the position of the peak thrust depended on the truck location, and that the peak flexural stress was double the peak hoop stress (contrary to strength limits considered within North American design codes). The peak thrust and moment occurred when the truck wheel pair was directly over the crown, as inferred in previous studies. The live load was found to be distributed nonuniformly along the longitudinal axis. Both the total station and DIC were feasible options for measuring displacements at the crown, while lidar was highly effective at recording the overall geometry.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request (distributed strains and displacements measured in the tests).
Acknowledgments
The authors would like to acknowledge the Natural Sciences and Engineering Research Council (NSERC) of Canada, the Canada Foundation for Innovation, and the Government of Ontario for their financial support of this research. The authors also thank Tyler Lasko and the City of Kingston for providing access to the culvert and the Ministry of Transportation of Ontario, who assisted with load monitoring. Finally, Graeme Boyd, Joshua Coghlan, Brian Westervelt, Robert Cichocki, Bryant Ward, Dong Wang, and Dr. Haitao Lan deserve recognition for helping with instrumentation and data acquisition.
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Information & Authors
Information
Published In
Journal of Pipeline Systems Engineering and Practice
Volume 11 • Issue 3 • August 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Nov 7, 2019
Accepted: Mar 17, 2020
Published online: May 30, 2020
Published in print: Aug 1, 2020
Discussion open until: Oct 30, 2020
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