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Modelling crowd-bridge dynamic interaction with a discretely defined crowd

Modelling crowd-bridge dynamic interaction with a discretely defined crowd
Modelling crowd-bridge dynamic interaction with a discretely defined crowd
This paper presents a novel method of modelling crowd–bridge interaction using discrete element theory (DET) to model the pedestrian crowd. DET, also known as agent-based modelling, is commonly used in the simulation of pedestrian movement, particularly in cases where building evacuation is critical or potentially problematic. Pedestrians are modelled as individual elements subject to global behavioural rules. In this paper a discrete element crowd model is coupled with a dynamic bridge model in a time-stepping framework. Feedback takes place between both models at each time-step. An additional pedestrian stimulus is introduced that is a function of bridge lateral dynamic behaviour. The pedestrians' relationship with the vibrating bridge as well as the pedestrians around them is thus simulated. The lateral dynamic behaviour of the bridge is modelled as a damped single degree of freedom (SDoF) oscillator. The excitation and mass enhancement of the dynamic system is determined as the sum of individual pedestrian contributions at each time-step. Previous crowd–structure interaction modelling has utilised a continuous hydrodynamic crowd model. Limitations inherent in this modelling approach are identified and results presented that demonstrate the ability of DET to address these limitations. Simulation results demonstrate the model's ability to consider low density traffic flows and inter-subject variability. The emergence of the crowd's velocity–density relationship is also discussed.
0022-460X
2685-2709
Carroll, S.P.
883bcf33-c37e-4d4d-b77f-468c77b5e7ee
Owen, J.S.
63c08cad-d6cd-45ce-8313-d1d27a448f8c
Hussein, M.F.M.
3535c131-1710-4edc-a4a1-8fe67dee3f67
Carroll, S.P.
883bcf33-c37e-4d4d-b77f-468c77b5e7ee
Owen, J.S.
63c08cad-d6cd-45ce-8313-d1d27a448f8c
Hussein, M.F.M.
3535c131-1710-4edc-a4a1-8fe67dee3f67

Carroll, S.P., Owen, J.S. and Hussein, M.F.M. (2012) Modelling crowd-bridge dynamic interaction with a discretely defined crowd. Journal of Sound and Vibration, 331 (11), 2685-2709. (doi:10.1016/j.jsv.2012.01.025).

Record type: Article

Abstract

This paper presents a novel method of modelling crowd–bridge interaction using discrete element theory (DET) to model the pedestrian crowd. DET, also known as agent-based modelling, is commonly used in the simulation of pedestrian movement, particularly in cases where building evacuation is critical or potentially problematic. Pedestrians are modelled as individual elements subject to global behavioural rules. In this paper a discrete element crowd model is coupled with a dynamic bridge model in a time-stepping framework. Feedback takes place between both models at each time-step. An additional pedestrian stimulus is introduced that is a function of bridge lateral dynamic behaviour. The pedestrians' relationship with the vibrating bridge as well as the pedestrians around them is thus simulated. The lateral dynamic behaviour of the bridge is modelled as a damped single degree of freedom (SDoF) oscillator. The excitation and mass enhancement of the dynamic system is determined as the sum of individual pedestrian contributions at each time-step. Previous crowd–structure interaction modelling has utilised a continuous hydrodynamic crowd model. Limitations inherent in this modelling approach are identified and results presented that demonstrate the ability of DET to address these limitations. Simulation results demonstrate the model's ability to consider low density traffic flows and inter-subject variability. The emergence of the crowd's velocity–density relationship is also discussed.

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More information

Published date: May 2012
Organisations: Dynamics Group

Identifiers

Local EPrints ID: 354621
URI: https://eprints.soton.ac.uk/id/eprint/354621
ISSN: 0022-460X
PURE UUID: 0a70c5d1-cfbd-44ee-a5e8-fbc5744a05fb

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Date deposited: 16 Jul 2013 14:28
Last modified: 18 Jul 2017 03:54

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