Vertical deformation monitoring of the suspension bridge tower using GNSS: a case study of the Forth Road Bridge in the UK
The vertical deformation monitoring of a suspension bridge tower is of paramount importance to maintain the operational safety since nearly all forces are eventually transferred as the vertical stress on the tower. This paper analyses the components affecting the vertical deformation and attempts to...
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ftunnottinghamrr:oai:nottingham-repository.worktribe.com:916451 2023-05-15T17:35:58+02:00 Vertical deformation monitoring of the suspension bridge tower using GNSS: a case study of the Forth Road Bridge in the UK Chen, Qusen Jiang, Weiping Meng, Xiaolin Jiang, Peng Wang, Kaihua Xie, Yilin Ye, Jun 2018-02-26 https://doi.org/10.3390/rs10030364 https://nottingham-repository.worktribe.com/file/916451/1/remotesensing-10-00364.pdf https://nottingham-repository.worktribe.com/output/916451 unknown MDPI https://nottingham-repository.worktribe.com/output/916451 Remote Sensing Volume 10 Issue 3 doi:https://doi.org/10.3390/rs10030364 https://nottingham-repository.worktribe.com/file/916451/1/remotesensing-10-00364.pdf doi:10.3390/rs10030364 openAccess GNSS structure health monitoring suspension bridge tower vertical deformation mechanism explanation Journal Article 2018 ftunnottinghamrr https://doi.org/10.3390/rs10030364 2022-08-18T22:10:59Z The vertical deformation monitoring of a suspension bridge tower is of paramount importance to maintain the operational safety since nearly all forces are eventually transferred as the vertical stress on the tower. This paper analyses the components affecting the vertical deformation and attempts to reveal its deformation mechanism. Firstly, we designed a strategy for high-precision GNSS data processing aiming at facilitating deformation extraction and analysis. Then, 33 months of vertical deformation time series of the southern tower of the Forth Road Bridge (FRB) in the UK were processed, and the accurate subsidence and the parameters of seasonal signals were estimated based on a classic function model that has been widely studied to analyse GNSS coordinate time series. We found that the subsidence rate is about 4.7 mm/year, with 0.1 mm uncertainty. Meanwhile, a 15-month meteorological dataset was utilised with a thermal expansion model (TEM) to explain the effects of seasonal signals on tower deformation. The amplitude of the annual signals correlated quite well that obtained by the TEM, with the consistency reaching 98.9%, demonstrating that the thermal effect contributes significantly to the annual signals. The amplitude of daily signals displays poor consistency with the ambient temperature data. However, the phase variation tendencies between the daily signals of the vertical deformation and the ambient temperature are highly consistent after February 2016. Finally, the potential contribution of the North Atlantic Drift (NAD) to the characteristics of annual and daily signals is discussed because of the special geographical location of the FRB. Meanwhile, this paper emphasizes the importance of collecting more detailed meteorological and other loading data for the investigation of the vertical deformation mechanism of the bridge towers over time with the support of GNSS. Article in Journal/Newspaper North Atlantic University of Nottingham: Repository@Nottingham Remote Sensing 10 3 364 |
institution |
Open Polar |
collection |
University of Nottingham: Repository@Nottingham |
op_collection_id |
ftunnottinghamrr |
language |
unknown |
topic |
GNSS structure health monitoring suspension bridge tower vertical deformation mechanism explanation |
spellingShingle |
GNSS structure health monitoring suspension bridge tower vertical deformation mechanism explanation Chen, Qusen Jiang, Weiping Meng, Xiaolin Jiang, Peng Wang, Kaihua Xie, Yilin Ye, Jun Vertical deformation monitoring of the suspension bridge tower using GNSS: a case study of the Forth Road Bridge in the UK |
topic_facet |
GNSS structure health monitoring suspension bridge tower vertical deformation mechanism explanation |
description |
The vertical deformation monitoring of a suspension bridge tower is of paramount importance to maintain the operational safety since nearly all forces are eventually transferred as the vertical stress on the tower. This paper analyses the components affecting the vertical deformation and attempts to reveal its deformation mechanism. Firstly, we designed a strategy for high-precision GNSS data processing aiming at facilitating deformation extraction and analysis. Then, 33 months of vertical deformation time series of the southern tower of the Forth Road Bridge (FRB) in the UK were processed, and the accurate subsidence and the parameters of seasonal signals were estimated based on a classic function model that has been widely studied to analyse GNSS coordinate time series. We found that the subsidence rate is about 4.7 mm/year, with 0.1 mm uncertainty. Meanwhile, a 15-month meteorological dataset was utilised with a thermal expansion model (TEM) to explain the effects of seasonal signals on tower deformation. The amplitude of the annual signals correlated quite well that obtained by the TEM, with the consistency reaching 98.9%, demonstrating that the thermal effect contributes significantly to the annual signals. The amplitude of daily signals displays poor consistency with the ambient temperature data. However, the phase variation tendencies between the daily signals of the vertical deformation and the ambient temperature are highly consistent after February 2016. Finally, the potential contribution of the North Atlantic Drift (NAD) to the characteristics of annual and daily signals is discussed because of the special geographical location of the FRB. Meanwhile, this paper emphasizes the importance of collecting more detailed meteorological and other loading data for the investigation of the vertical deformation mechanism of the bridge towers over time with the support of GNSS. |
format |
Article in Journal/Newspaper |
author |
Chen, Qusen Jiang, Weiping Meng, Xiaolin Jiang, Peng Wang, Kaihua Xie, Yilin Ye, Jun |
author_facet |
Chen, Qusen Jiang, Weiping Meng, Xiaolin Jiang, Peng Wang, Kaihua Xie, Yilin Ye, Jun |
author_sort |
Chen, Qusen |
title |
Vertical deformation monitoring of the suspension bridge tower using GNSS: a case study of the Forth Road Bridge in the UK |
title_short |
Vertical deformation monitoring of the suspension bridge tower using GNSS: a case study of the Forth Road Bridge in the UK |
title_full |
Vertical deformation monitoring of the suspension bridge tower using GNSS: a case study of the Forth Road Bridge in the UK |
title_fullStr |
Vertical deformation monitoring of the suspension bridge tower using GNSS: a case study of the Forth Road Bridge in the UK |
title_full_unstemmed |
Vertical deformation monitoring of the suspension bridge tower using GNSS: a case study of the Forth Road Bridge in the UK |
title_sort |
vertical deformation monitoring of the suspension bridge tower using gnss: a case study of the forth road bridge in the uk |
publisher |
MDPI |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10030364 https://nottingham-repository.worktribe.com/file/916451/1/remotesensing-10-00364.pdf https://nottingham-repository.worktribe.com/output/916451 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://nottingham-repository.worktribe.com/output/916451 Remote Sensing Volume 10 Issue 3 doi:https://doi.org/10.3390/rs10030364 https://nottingham-repository.worktribe.com/file/916451/1/remotesensing-10-00364.pdf doi:10.3390/rs10030364 |
op_rights |
openAccess |
op_doi |
https://doi.org/10.3390/rs10030364 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
3 |
container_start_page |
364 |
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1766135294084513792 |