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Event-based strain monitoring on a railway bridge with a wireless sensor network
EMPA, Swiss Federal Laboratory for Materials, Testing and Research.
EMPA, Zurich.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.
EMPA, Zurich.
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2009 (English)In: Structural Health Monitoring of Intelligent Infrastructure: Proceedings of the 4th International Conference on Structural Health Monitoring of Intellgent Infrastructure / [ed] Urs Meier; Bernadette Havranek; Masoud Motavalli, Zürich: EMPA-Akademie , 2009, p. 74-Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a monitoring application with a wireless sensor network that was performed on a 95 years old riveted steel railway bridge. In order to perform an accurate assessment, strains were monitored on critical elements to catch the real loading during the passage of heavy freight trains. The wireless sensor network deployed on the bridge consisted of 8 nodes supplied with resistance strain gages and the root node connected to a solar energy rechargeable, battery powered base station. The monitoring system was operated in event-based mode to achieve an energy efficient operation to prolong the lifetime of the sensor network. The event detection was carried out with ultra low power MEMS acceleration sensors, which measured continuously the accelerations of the bridge and detected an approaching train. If this occurred, the sensor generated an interrupt that immediately switched on the strain gage's conditioning board and starts the measurement. Switching on the conditioning board shortly before starting the measurement, however, produces biased raw data because the strain gage was still heating up due to the current flow. Instead of eliminating the time-dependent bias by adding a dummy gage to the Wheatstone bridge, the bias was removed by post-processing the raw data. The paper demonstrates that this procedure provides sufficiently accurate input data for use in cycle counting based fatigue assessment of steel bridges.

Place, publisher, year, edition, pages
Zürich: EMPA-Akademie , 2009. p. 74-
National Category
Infrastructure Engineering
Research subject
Structural Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-26990Local ID: 0483e170-a370-11de-8293-000ea68e967bISBN: 978-3-905594-52-2 (print)OAI: oai:DiVA.org:ltu-26990DiVA, id: diva2:1000171
Conference
International Conference on Structural Health Monitoring of Intellgent Infrastructure : 22/07/2009 - 24/07/2009
Note
Godkänd; 2009; Bibliografisk uppgift: Abstract on p 74 in Proceedings. Full paper, 8 pp, on enclosed CD.; 20090917 (elfgren)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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  • apa
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