Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data
The paper reviews the monitoring, data analysis and modelling of a multi-span RC-bridge. The bridge is 102 m long, with six spans, crossing a glacial river in SE Iceland. The bridge was taken out of operation in 2019 when one of the bridge pillars subsided due to scour erosion. The Icelandic Road an...
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Springer Science and Business Media Deutschland GmbH
2023
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Online Access: | https://orbit.dtu.dk/en/publications/50936afc-5a08-4de1-a980-47c396eb60f7 https://doi.org/10.1007/978-3-031-07258-1_15 |
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ftdtupubl:oai:pure.atira.dk:publications/50936afc-5a08-4de1-a980-47c396eb60f7 2024-09-15T18:14:15+00:00 Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data Jonasdottir, Thorunn Snæbjörnsson, Jonas Brincker, Rune Rizzo, Piervincenzo Milazzo, Alberto 2023 https://orbit.dtu.dk/en/publications/50936afc-5a08-4de1-a980-47c396eb60f7 https://doi.org/10.1007/978-3-031-07258-1_15 eng eng Springer Science and Business Media Deutschland GmbH https://orbit.dtu.dk/en/publications/50936afc-5a08-4de1-a980-47c396eb60f7 urn:ISBN:9783031072574 info:eu-repo/semantics/closedAccess Jonasdottir , T , Snæbjörnsson , J & Brincker , R 2023 , Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data . in P Rizzo & A Milazzo (eds) , European Workshop on Structural Health Monitoring : EWSHM 2022 - Volume 2 . vol. 2 , Springer Science and Business Media Deutschland GmbH , Lecture Notes in Civil Engineering , vol. 254 LNCE , pp. 134-143 , 10th European Workshop on Structural Health Monitoring , Palermo , Italy , 04/07/2022 . https://doi.org/10.1007/978-3-031-07258-1_15 Ambient excitation Finite elements Monitoring RC bridge Response analysis System identification contributionToPeriodical 2023 ftdtupubl https://doi.org/10.1007/978-3-031-07258-1_15 2024-08-13T00:03:06Z The paper reviews the monitoring, data analysis and modelling of a multi-span RC-bridge. The bridge is 102 m long, with six spans, crossing a glacial river in SE Iceland. The bridge was taken out of operation in 2019 when one of the bridge pillars subsided due to scour erosion. The Icelandic Road and Coastal Administration decided to use the bridge as a learning tool before it was demolished and a new bridge built on the same site. A realistic assessment of the structural properties and bearing capacity of existing bridges is a prerequisite for evaluating the safety of older bridges in the road system, which were designed according to outdated standards and different load conditions but are required to serve today’s traffic and future demands with an increasing number of heavy vehicles. The data presented in this paper are time series of acceleration measured for ambient loading on the bridge. A system identification analysis of the bridge was performed using two OMA tools. It is found that based on low amplitude ambient vibration data, the first four modes can be reliably estimated in terms of natural frequency and critical damping ratio, but the higher modes are more uncertain, and their identifiability varies depending on the data-set used. The results of the analysis are used to update and validate finite element models of the bridge that are used to interpret and simulate the observed vibrations. Article in Journal/Newspaper Iceland Technical University of Denmark: DTU Orbit 134 143 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Ambient excitation Finite elements Monitoring RC bridge Response analysis System identification |
spellingShingle |
Ambient excitation Finite elements Monitoring RC bridge Response analysis System identification Jonasdottir, Thorunn Snæbjörnsson, Jonas Brincker, Rune Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data |
topic_facet |
Ambient excitation Finite elements Monitoring RC bridge Response analysis System identification |
description |
The paper reviews the monitoring, data analysis and modelling of a multi-span RC-bridge. The bridge is 102 m long, with six spans, crossing a glacial river in SE Iceland. The bridge was taken out of operation in 2019 when one of the bridge pillars subsided due to scour erosion. The Icelandic Road and Coastal Administration decided to use the bridge as a learning tool before it was demolished and a new bridge built on the same site. A realistic assessment of the structural properties and bearing capacity of existing bridges is a prerequisite for evaluating the safety of older bridges in the road system, which were designed according to outdated standards and different load conditions but are required to serve today’s traffic and future demands with an increasing number of heavy vehicles. The data presented in this paper are time series of acceleration measured for ambient loading on the bridge. A system identification analysis of the bridge was performed using two OMA tools. It is found that based on low amplitude ambient vibration data, the first four modes can be reliably estimated in terms of natural frequency and critical damping ratio, but the higher modes are more uncertain, and their identifiability varies depending on the data-set used. The results of the analysis are used to update and validate finite element models of the bridge that are used to interpret and simulate the observed vibrations. |
author2 |
Rizzo, Piervincenzo Milazzo, Alberto |
format |
Article in Journal/Newspaper |
author |
Jonasdottir, Thorunn Snæbjörnsson, Jonas Brincker, Rune |
author_facet |
Jonasdottir, Thorunn Snæbjörnsson, Jonas Brincker, Rune |
author_sort |
Jonasdottir, Thorunn |
title |
Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data |
title_short |
Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data |
title_full |
Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data |
title_fullStr |
Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data |
title_full_unstemmed |
Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data |
title_sort |
modelling a damaged multi-span rc bridge based on structural monitoring data |
publisher |
Springer Science and Business Media Deutschland GmbH |
publishDate |
2023 |
url |
https://orbit.dtu.dk/en/publications/50936afc-5a08-4de1-a980-47c396eb60f7 https://doi.org/10.1007/978-3-031-07258-1_15 |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Jonasdottir , T , Snæbjörnsson , J & Brincker , R 2023 , Modelling a Damaged Multi-span RC Bridge Based on Structural Monitoring Data . in P Rizzo & A Milazzo (eds) , European Workshop on Structural Health Monitoring : EWSHM 2022 - Volume 2 . vol. 2 , Springer Science and Business Media Deutschland GmbH , Lecture Notes in Civil Engineering , vol. 254 LNCE , pp. 134-143 , 10th European Workshop on Structural Health Monitoring , Palermo , Italy , 04/07/2022 . https://doi.org/10.1007/978-3-031-07258-1_15 |
op_relation |
https://orbit.dtu.dk/en/publications/50936afc-5a08-4de1-a980-47c396eb60f7 urn:ISBN:9783031072574 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1007/978-3-031-07258-1_15 |
container_start_page |
134 |
op_container_end_page |
143 |
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1810452022276653056 |