IABSE Symposium, Bangkok 2009: Sustainable Infrastructure - Environment Friendly, Safe and Resource Efficient 2009
DOI: 10.2749/222137809796088530
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Upgrading of São João Bridge Structural Health Monitoring System

Abstract: <p>São João Bridge is a railway bridge, 1028 m long, with a main span of 250 metres. This bridge was instrumented during its construction and its structural behaviour has been experimentally followed since then. After fifteen years in service, the system used for this purpose was updated in order to get automatic data acquisition as well as dynamic monitoring, with remote access and real time data processing. This paper presents how the original sensors were integrated in the new structural health monito… Show more

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Cited by 2 publications
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“…In addition, it was intended to introduce the dynamic monitoring, by a continuous identification of the bridge's dynamic characteristics. 3 All original sensors that allowed automatic acquisition, as vibrating-wire strain gauges and thermocouples, were integrated into the upgraded SHM system. For the measurement of deck vertical displacements, expansion joints movements and rotations new sensors were installed.…”
Section: The Upgrade Of the Structural Health Monitoring Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, it was intended to introduce the dynamic monitoring, by a continuous identification of the bridge's dynamic characteristics. 3 All original sensors that allowed automatic acquisition, as vibrating-wire strain gauges and thermocouples, were integrated into the upgraded SHM system. For the measurement of deck vertical displacements, expansion joints movements and rotations new sensors were installed.…”
Section: The Upgrade Of the Structural Health Monitoring Systemmentioning
confidence: 99%
“…The main purpose of this upgrade was to move from periodic to continuous monitoring. In addition, it was intended to introduce the dynamic monitoring, by a continuous identification of the bridge's dynamic characteristics …”
Section: The Structural Health Monitoring Systemmentioning
confidence: 99%