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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Published in:Remote Sensing
Main Authors: Qusen Chen, Weiping Jiang, Xiaolin Meng, Peng Jiang, Kaihua Wang, Yilin Xie, Jun Ye
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/rs10030364
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/3/364/ 2023-08-20T04:08:31+02:00 Vertical Deformation Monitoring of the Suspension Bridge Tower Using GNSS: A Case Study of the Forth Road Bridge in the UK Qusen Chen Weiping Jiang Xiaolin Meng Peng Jiang Kaihua Wang Yilin Xie Jun Ye agris 2018-02-26 application/pdf https://doi.org/10.3390/rs10030364 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs10030364 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 3; Pages: 364 GNSS structure health monitoring suspension bridge tower vertical deformation mechanism explanation Text 2018 ftmdpi https://doi.org/10.3390/rs10030364 2023-07-31T21:24:22Z 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. Text North Atlantic MDPI Open Access Publishing Remote Sensing 10 3 364
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic GNSS
structure health monitoring
suspension bridge tower
vertical deformation
mechanism explanation
spellingShingle GNSS
structure health monitoring
suspension bridge tower
vertical deformation
mechanism explanation
Qusen Chen
Weiping Jiang
Xiaolin Meng
Peng Jiang
Kaihua Wang
Yilin Xie
Jun Ye
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 Text
author Qusen Chen
Weiping Jiang
Xiaolin Meng
Peng Jiang
Kaihua Wang
Yilin Xie
Jun Ye
author_facet Qusen Chen
Weiping Jiang
Xiaolin Meng
Peng Jiang
Kaihua Wang
Yilin Xie
Jun Ye
author_sort Qusen Chen
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 Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/rs10030364
op_coverage agris
genre North Atlantic
genre_facet North Atlantic
op_source Remote Sensing; Volume 10; Issue 3; Pages: 364
op_relation https://dx.doi.org/10.3390/rs10030364
op_rights https://creativecommons.org/licenses/by/4.0/
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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