Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/97180
Title: Theoretical and experimental analysis of the quasi-static and dynamic behaviour of the world's longest suspension footbridge in 2020
Authors: Tadeu, António 
Fernández Romero, Antonio J. 
Bandeira, Filipe 
Pedro, Filipe
Dias, Sara
Serra, Miguel 
Brett, Michael
Galvín, Pedro
Keywords: Damping coefficients; Dynamic behaviour; Longest suspension footbridge in 2020; Modal identification; Nonlinear analysis; Theoretical and experimental analysis
Issue Date: 2022
Project: 126491 
metadata.degois.publication.title: Engineering Structures
metadata.degois.publication.volume: 253
Abstract: This work validates the simplified theoretical, analytical and numerical models used in the preliminary design stage of the 516 Arouca footbridge over the River Paiva (Portugal), the world's longest suspension footbridge. The models were used to define the configuration of the bridge under static loading and the eigenfrequencies excited under dynamic loading. The three-dimensional finite element model used in the detailed design of the bridge is briefly described. The paper also presents in situ experimental results. Tests were performed to study the static and dynamic behaviour of the footbridge under service loads and to assess the analytical/numerical modelling assumptions. The structure was subjected to loads generated by the wind and by a group of people crossing the bridge. Global Navigation Satellite System (GNSS) antennas were used to record the displacements of the bridge under quasi-static loadings caused by the people crossing the bridge at a slow pace. The data recorded by a set of seismometers allowed us to identify the natural frequencies and modes of vibration. The agreement between all the analytical/numerical solutions and the experimental data was found to be very good. The data recorded also allowed one to evaluate the damping coefficients of the bridge for the different vibration modes, something that is very difficult to predict in the design stage. © 2022 The Author(s)
URI: https://hdl.handle.net/10316/97180
ISSN: 01410296
DOI: 10.1016/j.engstruct.2021.113830
Rights: openAccess
Appears in Collections:I&D ADAI - Artigos em Revistas Internacionais

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