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Dataset for damage detection retrieved from a monitored bridge pre and post verified damage
The Vänersborg Bridge in southwest Sweden is a single-leaf bascule bridge carrying railway traffic over a canal. The load consists of passing commuter trains, occasional freight trains and leaf openings to allow ships to pass on the canal. The bridge constructed from 1914 to 1916 was built by rivete...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641142/ https://www.ncbi.nlm.nih.gov/pubmed/37965592 http://dx.doi.org/10.1016/j.dib.2023.109729 |
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author | Leander, John Nyman, Jacob Karoumi, Raid Rosengren, Peter Johansson, Gunnar |
author_facet | Leander, John Nyman, Jacob Karoumi, Raid Rosengren, Peter Johansson, Gunnar |
author_sort | Leander, John |
collection | PubMed |
description | The Vänersborg Bridge in southwest Sweden is a single-leaf bascule bridge carrying railway traffic over a canal. The load consists of passing commuter trains, occasional freight trains and leaf openings to allow ships to pass on the canal. The bridge constructed from 1914 to 1916 was built by riveted truss members in steel. Over the years, several assessments and maintenance actions have been performed to keep the bridge in service. During autumn 2021, a long-term monitoring campaign was initiated with the installation of sensors to register the load effect and possible changes in the behaviour. In March 2023, the cloud-based service employed detected an abrupt change of behaviour. An emergency inspection revealed a large crack in one of the truss members in the counter-weight part. The published dataset contains sensor data from 64 registered bridge openings, comprising accelerations, strains, inclinations, and weather conditions. Data from before the fracture, during, and after are provided. During the bridge opening events, the data was recorded continuously with a sampling rate of 200 Hz. The evidence of damage in a real case scenario makes the dataset valuable for testing and evaluation of data-driven routines for infrastructure surveillance. |
format | Online Article Text |
id | pubmed-10641142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106411422023-11-14 Dataset for damage detection retrieved from a monitored bridge pre and post verified damage Leander, John Nyman, Jacob Karoumi, Raid Rosengren, Peter Johansson, Gunnar Data Brief Data Article The Vänersborg Bridge in southwest Sweden is a single-leaf bascule bridge carrying railway traffic over a canal. The load consists of passing commuter trains, occasional freight trains and leaf openings to allow ships to pass on the canal. The bridge constructed from 1914 to 1916 was built by riveted truss members in steel. Over the years, several assessments and maintenance actions have been performed to keep the bridge in service. During autumn 2021, a long-term monitoring campaign was initiated with the installation of sensors to register the load effect and possible changes in the behaviour. In March 2023, the cloud-based service employed detected an abrupt change of behaviour. An emergency inspection revealed a large crack in one of the truss members in the counter-weight part. The published dataset contains sensor data from 64 registered bridge openings, comprising accelerations, strains, inclinations, and weather conditions. Data from before the fracture, during, and after are provided. During the bridge opening events, the data was recorded continuously with a sampling rate of 200 Hz. The evidence of damage in a real case scenario makes the dataset valuable for testing and evaluation of data-driven routines for infrastructure surveillance. Elsevier 2023-10-26 /pmc/articles/PMC10641142/ /pubmed/37965592 http://dx.doi.org/10.1016/j.dib.2023.109729 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Leander, John Nyman, Jacob Karoumi, Raid Rosengren, Peter Johansson, Gunnar Dataset for damage detection retrieved from a monitored bridge pre and post verified damage |
title | Dataset for damage detection retrieved from a monitored bridge pre and post verified damage |
title_full | Dataset for damage detection retrieved from a monitored bridge pre and post verified damage |
title_fullStr | Dataset for damage detection retrieved from a monitored bridge pre and post verified damage |
title_full_unstemmed | Dataset for damage detection retrieved from a monitored bridge pre and post verified damage |
title_short | Dataset for damage detection retrieved from a monitored bridge pre and post verified damage |
title_sort | dataset for damage detection retrieved from a monitored bridge pre and post verified damage |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641142/ https://www.ncbi.nlm.nih.gov/pubmed/37965592 http://dx.doi.org/10.1016/j.dib.2023.109729 |
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