Identifying traffic-induced vibrations of a suspension bridge: A modelling approach based on full-scale data

Etienne Cheynet; Jonas Snæbjörnsson; Jasna Bogunović Jakobsen

doi:10.1007/978-3-030-12115-0_12

Identifying traffic-induced vibrations of a suspension bridge: A modelling approach based on full-scale data

Etienne Cheynet^*, Jonas Snæbjörnsson, Jasna Bogunović Jakobsen

^*Corresponding author for this work

Department of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The present paper introduces a procedure to identify traffic-induced vibrations from full-scale acceleration records from a long-span suspension bridge. First, an outlier detection algorithm coupled with a cluster analysis is applied to detect when a vehicle crosses the bridge. Then, the mass and average speed of each identified vehicle are estimated using a moving mass model. The current identification procedure requires a low wind speed and a low traffic density to isolate the background component of the displacement response from its resonant component. Eleven months of records from high-accuracy three-axial accelerometers were used to systematically identify traffic-induced vibrations and estimate the mass and speed of numerous vehicles. The computation of the combined effects of wind and traffic loading on the vertical bridge displacement response indicates that the study of the wind-induced vibrations of the Lysefjord bridge should account for traffic loading, even for wind speed above 10 ms−1.

Original language	English
Title of host publication	Dynamics of Civil Structures, Volume 2 - Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019
Editors	Shamim Pakzad
Publisher	Springer New York LLC
Pages	93-101
Number of pages	9
ISBN (Print)	9783030121143
DOIs	https://doi.org/10.1007/978-3-030-12115-0_12
Publication status	Published - 2020
Event	37th IMAC, A Conference and Exposition on Structural Dynamics, 2019 - Orlando, United States Duration: 28 Jan 2019 → 31 Jan 2019

Publication series

Name	Conference Proceedings of the Society for Experimental Mechanics Series
ISSN (Print)	2191-5644
ISSN (Electronic)	2191-5652

Conference

Conference	37th IMAC, A Conference and Exposition on Structural Dynamics, 2019
Country/Territory	United States
City	Orlando
Period	28/01/19 → 31/01/19

Bibliographical note

Publisher Copyright:
© Society for Experimental Mechanics, Inc. 2020.

Other keywords

Dynamic vibrations
Full-scale
Structural health monitoring
Traffic
Wind

Access to Document

10.1007/978-3-030-12115-0_12

Cite this

Cheynet, E., Snæbjörnsson, J., & Jakobsen, J. B. (2020). Identifying traffic-induced vibrations of a suspension bridge: A modelling approach based on full-scale data. In S. Pakzad (Ed.), Dynamics of Civil Structures, Volume 2 - Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019 (pp. 93-101). (Conference Proceedings of the Society for Experimental Mechanics Series). Springer New York LLC. https://doi.org/10.1007/978-3-030-12115-0_12

Cheynet, Etienne ; Snæbjörnsson, Jonas ; Jakobsen, Jasna Bogunović. / Identifying traffic-induced vibrations of a suspension bridge : A modelling approach based on full-scale data. Dynamics of Civil Structures, Volume 2 - Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019. editor / Shamim Pakzad. Springer New York LLC, 2020. pp. 93-101 (Conference Proceedings of the Society for Experimental Mechanics Series).

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title = "Identifying traffic-induced vibrations of a suspension bridge: A modelling approach based on full-scale data",

abstract = "The present paper introduces a procedure to identify traffic-induced vibrations from full-scale acceleration records from a long-span suspension bridge. First, an outlier detection algorithm coupled with a cluster analysis is applied to detect when a vehicle crosses the bridge. Then, the mass and average speed of each identified vehicle are estimated using a moving mass model. The current identification procedure requires a low wind speed and a low traffic density to isolate the background component of the displacement response from its resonant component. Eleven months of records from high-accuracy three-axial accelerometers were used to systematically identify traffic-induced vibrations and estimate the mass and speed of numerous vehicles. The computation of the combined effects of wind and traffic loading on the vertical bridge displacement response indicates that the study of the wind-induced vibrations of the Lysefjord bridge should account for traffic loading, even for wind speed above 10 ms−1.",

keywords = "Dynamic vibrations, Full-scale, Structural health monitoring, Traffic, Wind",

author = "Etienne Cheynet and Jonas Sn{\ae}bj{\"o}rnsson and Jakobsen, {Jasna Bogunovi{\'c}}",

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year = "2020",

doi = "10.1007/978-3-030-12115-0_12",

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Cheynet, E, Snæbjörnsson, J & Jakobsen, JB 2020, Identifying traffic-induced vibrations of a suspension bridge: A modelling approach based on full-scale data. in S Pakzad (ed.), Dynamics of Civil Structures, Volume 2 - Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019. Conference Proceedings of the Society for Experimental Mechanics Series, Springer New York LLC, pp. 93-101, 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, Orlando, United States, 28/01/19. https://doi.org/10.1007/978-3-030-12115-0_12

Identifying traffic-induced vibrations of a suspension bridge: A modelling approach based on full-scale data. / Cheynet, Etienne; Snæbjörnsson, Jonas; Jakobsen, Jasna Bogunović.
Dynamics of Civil Structures, Volume 2 - Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019. ed. / Shamim Pakzad. Springer New York LLC, 2020. p. 93-101 (Conference Proceedings of the Society for Experimental Mechanics Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Snæbjörnsson, Jonas

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PY - 2020

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AB - The present paper introduces a procedure to identify traffic-induced vibrations from full-scale acceleration records from a long-span suspension bridge. First, an outlier detection algorithm coupled with a cluster analysis is applied to detect when a vehicle crosses the bridge. Then, the mass and average speed of each identified vehicle are estimated using a moving mass model. The current identification procedure requires a low wind speed and a low traffic density to isolate the background component of the displacement response from its resonant component. Eleven months of records from high-accuracy three-axial accelerometers were used to systematically identify traffic-induced vibrations and estimate the mass and speed of numerous vehicles. The computation of the combined effects of wind and traffic loading on the vertical bridge displacement response indicates that the study of the wind-induced vibrations of the Lysefjord bridge should account for traffic loading, even for wind speed above 10 ms−1.

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BT - Dynamics of Civil Structures, Volume 2 - Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019

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Cheynet E, Snæbjörnsson J, Jakobsen JB. Identifying traffic-induced vibrations of a suspension bridge: A modelling approach based on full-scale data. In Pakzad S, editor, Dynamics of Civil Structures, Volume 2 - Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019. Springer New York LLC. 2020. p. 93-101. (Conference Proceedings of the Society for Experimental Mechanics Series). doi: 10.1007/978-3-030-12115-0_12

Identifying traffic-induced vibrations of a suspension bridge: A modelling approach based on full-scale data

Abstract

Publication series

Conference

Bibliographical note

Other keywords

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Cite this