Dynamic behaviour of the Marina Bay bridge

This paper reviews the Stochastic System Identification (SSI) method that has been used to estimate the modal parameters of a vibrating structure, the 280 metre footbridge - Marina Bay Helix Bridge (Singapore) in operational conditions. The ambient vibration measurement is a kind of output data-only...

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Main Author: Ong, Priscilla See Koon.
Other Authors: Kusnowidjaja Megawati
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/45454
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-454542023-03-03T17:06:14Z Dynamic behaviour of the Marina Bay bridge Ong, Priscilla See Koon. Kusnowidjaja Megawati School of Civil and Environmental Engineering Zheng Haitao DRNTU::Engineering::Civil engineering::Structures and design This paper reviews the Stochastic System Identification (SSI) method that has been used to estimate the modal parameters of a vibrating structure, the 280 metre footbridge - Marina Bay Helix Bridge (Singapore) in operational conditions. The ambient vibration measurement is a kind of output data-only dynamic testing where traffics and winds are used as agents responsible for natural or environmental excitation. Therefore an experimental modal analysis procedure for ambient vibration testing will need to base itself on output-only data. Experimental investigations were carried out before the opening of the bridge, and structural responses were recorded. The response data were analyzed using Stochastic Subspace Identification (SSI) algorithm. Frequencies, corresponding mode shapes and damping values were identified to be used for scenario simulation and structural health monitoring. The results have shown that both methods can identify the modal parameters effectively. The quality of the modal estimates were then evaluated and compared. For most modes, the analytical and experimental modal frequencies and mode shapes compare quite well. Based on the findings of this study, Stochastic Subspace Identification (SSI) appears to be capable of capturing much of the complex dynamic behaviour of the bridge with higher accuracy. Bachelor of Engineering (Civil) 2011-06-14T00:49:59Z 2011-06-14T00:49:59Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45454 en Nanyang Technological University 39 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Structures and design
spellingShingle DRNTU::Engineering::Civil engineering::Structures and design
Ong, Priscilla See Koon.
Dynamic behaviour of the Marina Bay bridge
description This paper reviews the Stochastic System Identification (SSI) method that has been used to estimate the modal parameters of a vibrating structure, the 280 metre footbridge - Marina Bay Helix Bridge (Singapore) in operational conditions. The ambient vibration measurement is a kind of output data-only dynamic testing where traffics and winds are used as agents responsible for natural or environmental excitation. Therefore an experimental modal analysis procedure for ambient vibration testing will need to base itself on output-only data. Experimental investigations were carried out before the opening of the bridge, and structural responses were recorded. The response data were analyzed using Stochastic Subspace Identification (SSI) algorithm. Frequencies, corresponding mode shapes and damping values were identified to be used for scenario simulation and structural health monitoring. The results have shown that both methods can identify the modal parameters effectively. The quality of the modal estimates were then evaluated and compared. For most modes, the analytical and experimental modal frequencies and mode shapes compare quite well. Based on the findings of this study, Stochastic Subspace Identification (SSI) appears to be capable of capturing much of the complex dynamic behaviour of the bridge with higher accuracy.
author2 Kusnowidjaja Megawati
author_facet Kusnowidjaja Megawati
Ong, Priscilla See Koon.
format Final Year Project
author Ong, Priscilla See Koon.
author_sort Ong, Priscilla See Koon.
title Dynamic behaviour of the Marina Bay bridge
title_short Dynamic behaviour of the Marina Bay bridge
title_full Dynamic behaviour of the Marina Bay bridge
title_fullStr Dynamic behaviour of the Marina Bay bridge
title_full_unstemmed Dynamic behaviour of the Marina Bay bridge
title_sort dynamic behaviour of the marina bay bridge
publishDate 2011
url http://hdl.handle.net/10356/45454
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