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Structural health monitoring of two railway bridges in Sweden
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.
2003 (English)In: Structural Health Monitoring and Intelligent Infrastructure: Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure / [ed] Z.S. Wu; M. Abe, Lisse: Balkema Publishers, A.A. / Taylor & Francis The Netherlands , 2003, Vol. 2, 1047-1055 p.Conference paper (Refereed)
Abstract [en]

Upgrading, assessment and maintenance of our ageing infrastructure like bridges, dams and buildings has grown in importance. Recently the Swedish and Norwegian Railway Association decided to upgrade the iron ore railway transport system going from Luleå to Narvik from 25 to 30 ton of axle load to increase the iron ore transport capacity. This paper describes a part of the upgrade procedure for two concrete bridges. In the first case, the Kallkällan Bridge, the moment capacity in the bridge cross direction was to low and it was decided to strengthen the bridge with CFRP sheets. Since, at that time, the strengthen method never been used on railway bridges in Sweden before it was decided to launch a comprehensive testing program to monitor the performance of the bridge before and after strengthening. In addition a long-term periodic monitoring program was launched. In the second case, the Loussajokk Bridge, calculations showed that the increased axle loads would exceed the yield limit in the top steel reinforcement. However, since field strain measurement indicated much lower levels than expected, refined calculations methods using First Order of Reliability Method, FORM, were conducted. The application of the SHM system to the Luossajokk Bridge, located in the very north of Sweden, was successful, and in spite of minor problems, it was decided to undertake a long term monitoring scheme of the bridge instead of strengthening it. Based on the experience from the two cases a SHM system is suggested where live data from health monitoring can be used with probabilistic methods to evaluate the current state in form of a safety index. This system will include; Prognosis, Sensor system, Acquisition system, Communication system, Storage system and a Diagnostic system. In this paper a brief description of the parts in the SHM system will be given together with real data from field measurements.

Place, publisher, year, edition, pages
Lisse: Balkema Publishers, A.A. / Taylor & Francis The Netherlands , 2003. Vol. 2, 1047-1055 p.
Research subject
Structural Engineering
URN: urn:nbn:se:ltu:diva-37806Local ID: befb805e-0121-4f45-9687-b212465ee376ISBN: 9058096483 (print)OAI: diva2:1011304
International Conference on Structural Health Monitoring and Intelligent Infrastructure : 13/11/2003 - 15/11/2003
Godkänd; 2003; 20120320 (ysko)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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