Predicting Footbridge Response using Stochastic Load Models

Lars Pedersen; Christian Frier

doi:10.1007/978-1-4614-6519-5_5

Predicting Footbridge Response using Stochastic Load Models

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

Walking parameters such as step frequency, pedestrian mass, dynamic load factor, etc. are basically stochastic, although it is quite common to adapt deterministic models for these parameters. The present paper considers a stochastic approach to modeling the action of pedestrians, but when doing so decisions need to be made in terms of statistical distributions of walking parameters and in terms of the parameters describing the statistical distributions. The paper explores how sensitive computations of bridge response are to some of the decisions to be made in this respect. This is useful as it pinpoints which decisions to be concerned about when the goal is to predict footbridge response. The studies involve estimating footbridge responses using Monte-Carlo simulations and focus is on estimating vertical structural response to single person loading.

Original language	English
Title of host publication	Topics in Dynamics of Bridges, Volume 3 : Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013
Editors	Alvaro Cunha
Number of pages	7
Volume	3
Publisher	Springer Publishing Company
Publication date	2013
Pages	47-53
ISBN (Print)	978-1-4614-6518-8
ISBN (Electronic)	978-1-4614-6519-5
DOIs	https://doi.org/10.1007/978-1-4614-6519-5_5
Publication status	Published - 2013
Event	IMAC 2013 XXXI - Garden Grove, California, United States Duration: 11 Feb 2013 → 14 Feb 2013 Conference number: 31

Conference

Conference	IMAC 2013 XXXI
Number	31
Country/Territory	United States
City	Garden Grove, California
Period	11/02/2013 → 14/02/2013

Series	Conference Proceedings of the Society for Experimental Mechanics Series
Number	31
ISSN	2191-5644

Bibliographical note

Keywords

Probabilistic modelling
Footbridge vibrations
Walking loads
Vibration serviceability
Vibration comfort

Access to Document

10.1007/978-1-4614-6519-5_5

http://www.springer.com/engineering/civil+engineering/book/978-1-4614-6518-8

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Cite this

Pedersen, Lars ; Frier, Christian. / Predicting Footbridge Response using Stochastic Load Models. Topics in Dynamics of Bridges, Volume 3: Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013. editor / Alvaro Cunha. Vol. 3 Springer Publishing Company, 2013. pp. 47-53 (Conference Proceedings of the Society for Experimental Mechanics Series; No. 31).

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title = "Predicting Footbridge Response using Stochastic Load Models",

abstract = "Walking parameters such as step frequency, pedestrian mass, dynamic load factor, etc. are basically stochastic, although it is quite common to adapt deterministic models for these parameters. The present paper considers a stochastic approach to modeling the action of pedestrians, but when doing so decisions need to be made in terms of statistical distributions of walking parameters and in terms of the parameters describing the statistical distributions. The paper explores how sensitive computations of bridge response are to some of the decisions to be made in this respect. This is useful as it pinpoints which decisions to be concerned about when the goal is to predict footbridge response. The studies involve estimating footbridge responses using Monte-Carlo simulations and focus is on estimating vertical structural response to single person loading.",

keywords = "Probabilistic modelling, Footbridge vibrations, Walking loads, Vibration serviceability, Vibration comfort, Probabilistic modelling, Footbridge vibrations, Walking loads, Vibration serviceability, Vibration comfort",

author = "Lars Pedersen and Christian Frier",

note = "{\textcopyright} The Society for Experimental Mechanics, Inc. 2013; IMAC 2013 XXXI ; Conference date: 11-02-2013 Through 14-02-2013",

year = "2013",

doi = "10.1007/978-1-4614-6519-5_5",

language = "English",

isbn = "978-1-4614-6518-8",

volume = "3",

series = "Conference Proceedings of the Society for Experimental Mechanics Series",

number = "31",

pages = "47--53",

editor = "Alvaro Cunha",

booktitle = "Topics in Dynamics of Bridges, Volume 3",

publisher = "Springer Publishing Company",

address = "United States",

}

Pedersen, L & Frier, C 2013, Predicting Footbridge Response using Stochastic Load Models. in A Cunha (ed.), Topics in Dynamics of Bridges, Volume 3: Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013. vol. 3, Springer Publishing Company, Conference Proceedings of the Society for Experimental Mechanics Series, no. 31, pp. 47-53, IMAC 2013 XXXI, Garden Grove, California, United States, 11/02/2013. https://doi.org/10.1007/978-1-4614-6519-5_5

Predicting Footbridge Response using Stochastic Load Models. / Pedersen, Lars ; Frier, Christian.
Topics in Dynamics of Bridges, Volume 3: Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013. ed. / Alvaro Cunha. Vol. 3 Springer Publishing Company, 2013. p. 47-53 (Conference Proceedings of the Society for Experimental Mechanics Series; No. 31).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Predicting Footbridge Response using Stochastic Load Models

AU - Pedersen, Lars

AU - Frier, Christian

N1 - Conference code: 31

PY - 2013

Y1 - 2013

N2 - Walking parameters such as step frequency, pedestrian mass, dynamic load factor, etc. are basically stochastic, although it is quite common to adapt deterministic models for these parameters. The present paper considers a stochastic approach to modeling the action of pedestrians, but when doing so decisions need to be made in terms of statistical distributions of walking parameters and in terms of the parameters describing the statistical distributions. The paper explores how sensitive computations of bridge response are to some of the decisions to be made in this respect. This is useful as it pinpoints which decisions to be concerned about when the goal is to predict footbridge response. The studies involve estimating footbridge responses using Monte-Carlo simulations and focus is on estimating vertical structural response to single person loading.

AB - Walking parameters such as step frequency, pedestrian mass, dynamic load factor, etc. are basically stochastic, although it is quite common to adapt deterministic models for these parameters. The present paper considers a stochastic approach to modeling the action of pedestrians, but when doing so decisions need to be made in terms of statistical distributions of walking parameters and in terms of the parameters describing the statistical distributions. The paper explores how sensitive computations of bridge response are to some of the decisions to be made in this respect. This is useful as it pinpoints which decisions to be concerned about when the goal is to predict footbridge response. The studies involve estimating footbridge responses using Monte-Carlo simulations and focus is on estimating vertical structural response to single person loading.

KW - Probabilistic modelling

KW - Footbridge vibrations

KW - Walking loads

KW - Vibration serviceability

KW - Vibration comfort

KW - Probabilistic modelling

KW - Footbridge vibrations

KW - Walking loads

KW - Vibration serviceability

KW - Vibration comfort

U2 - 10.1007/978-1-4614-6519-5_5

DO - 10.1007/978-1-4614-6519-5_5

M3 - Article in proceeding

SN - 978-1-4614-6518-8

VL - 3

T3 - Conference Proceedings of the Society for Experimental Mechanics Series

SP - 47

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BT - Topics in Dynamics of Bridges, Volume 3

A2 - Cunha, Alvaro

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T2 - IMAC 2013 XXXI

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Pedersen L , Frier C. Predicting Footbridge Response using Stochastic Load Models. In Cunha A, editor, Topics in Dynamics of Bridges, Volume 3: Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013. Vol. 3. Springer Publishing Company. 2013. p. 47-53. (Conference Proceedings of the Society for Experimental Mechanics Series; No. 31). doi: 10.1007/978-1-4614-6519-5_5

Predicting Footbridge Response using Stochastic Load Models

Abstract

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Bibliographical note

Keywords

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