Design and deployment of a monitoring system on a long-span suspension bridge
Monitoring systems have become a standard component for many landmark bridges. This paper describes the design of a new monitoring system for the Hålogaland bridge, a suspension bridge has a main span of 1145 m located in an arctic environment in northern Norway. This bridge being a prime example of...
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2982037 2023-05-15T15:09:53+02:00 Design and deployment of a monitoring system on a long-span suspension bridge Petersen, Øyvind Wiig Frøseth, Gunnstein Thomas Øiseth, Ole Andre 2021 application/pdf https://hdl.handle.net/11250/2982037 eng eng ISHMII urn:issn:2564-3738 https://hdl.handle.net/11250/2982037 cristin:1967140 Proceedings of the International Conference on Structural Health Monitoring of Intelligent Infrastructure Journal article 2021 ftntnutrondheimi 2022-03-02T23:38:33Z Monitoring systems have become a standard component for many landmark bridges. This paper describes the design of a new monitoring system for the Hålogaland bridge, a suspension bridge has a main span of 1145 m located in an arctic environment in northern Norway. This bridge being a prime example of a wind-sensitive structure, the monitoring system is designed with focus on wind engineering research for long-span bridges. Previous monitoring projects on bridges of similar scale have also revealed some knowledge gaps (e.g. discrepancies in predicted and measured responses) and interesting observations (e.g. strong effects on the surrounding terrain on the wind loads). Such results should be further investigated and cross-checked for bridges in other locations. The monitoring system is custom designed and built by researchers at NTNU, using NI CompactRIO controllers as base data acquisition units for sampling and controlling the system. The CompactRIOs are programmed using the LabVIEW software. Multiple types of sensors are employed; sonic anemometers for wind measurements, accelerometers in the bridge deck and hangers for structural responses, strain gauges, and temperature sensors. Timestamps from GPS antennas are used to sync the measured data between the different CompactRIOs. Ultimately, the acquired data is planned to be used in research on modal parameter identification under the influence on wind, identification of wind loading, modelling of spatial wind fields, serviceability limits with respect to road accidents during strong winds, in addition to new techniques on machine learning in structural health monitoring. publishedVersion Article in Journal/Newspaper Arctic Hålogaland Northern Norway NTNU Open Archive (Norwegian University of Science and Technology) Arctic Norway |
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Open Polar |
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NTNU Open Archive (Norwegian University of Science and Technology) |
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ftntnutrondheimi |
language |
English |
description |
Monitoring systems have become a standard component for many landmark bridges. This paper describes the design of a new monitoring system for the Hålogaland bridge, a suspension bridge has a main span of 1145 m located in an arctic environment in northern Norway. This bridge being a prime example of a wind-sensitive structure, the monitoring system is designed with focus on wind engineering research for long-span bridges. Previous monitoring projects on bridges of similar scale have also revealed some knowledge gaps (e.g. discrepancies in predicted and measured responses) and interesting observations (e.g. strong effects on the surrounding terrain on the wind loads). Such results should be further investigated and cross-checked for bridges in other locations. The monitoring system is custom designed and built by researchers at NTNU, using NI CompactRIO controllers as base data acquisition units for sampling and controlling the system. The CompactRIOs are programmed using the LabVIEW software. Multiple types of sensors are employed; sonic anemometers for wind measurements, accelerometers in the bridge deck and hangers for structural responses, strain gauges, and temperature sensors. Timestamps from GPS antennas are used to sync the measured data between the different CompactRIOs. Ultimately, the acquired data is planned to be used in research on modal parameter identification under the influence on wind, identification of wind loading, modelling of spatial wind fields, serviceability limits with respect to road accidents during strong winds, in addition to new techniques on machine learning in structural health monitoring. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Petersen, Øyvind Wiig Frøseth, Gunnstein Thomas Øiseth, Ole Andre |
spellingShingle |
Petersen, Øyvind Wiig Frøseth, Gunnstein Thomas Øiseth, Ole Andre Design and deployment of a monitoring system on a long-span suspension bridge |
author_facet |
Petersen, Øyvind Wiig Frøseth, Gunnstein Thomas Øiseth, Ole Andre |
author_sort |
Petersen, Øyvind Wiig |
title |
Design and deployment of a monitoring system on a long-span suspension bridge |
title_short |
Design and deployment of a monitoring system on a long-span suspension bridge |
title_full |
Design and deployment of a monitoring system on a long-span suspension bridge |
title_fullStr |
Design and deployment of a monitoring system on a long-span suspension bridge |
title_full_unstemmed |
Design and deployment of a monitoring system on a long-span suspension bridge |
title_sort |
design and deployment of a monitoring system on a long-span suspension bridge |
publisher |
ISHMII |
publishDate |
2021 |
url |
https://hdl.handle.net/11250/2982037 |
geographic |
Arctic Norway |
geographic_facet |
Arctic Norway |
genre |
Arctic Hålogaland Northern Norway |
genre_facet |
Arctic Hålogaland Northern Norway |
op_source |
Proceedings of the International Conference on Structural Health Monitoring of Intelligent Infrastructure |
op_relation |
urn:issn:2564-3738 https://hdl.handle.net/11250/2982037 cristin:1967140 |
_version_ |
1766340978070781952 |