Crowd-structure interaction: Investigating the spatiality and synchronization of a pedestrian force model

Toso, Marcelo André; Gomes, Herbert Martins; Brito, José Luis Vital de

doi:10.1016/j.jcsr.2017.03.007

Cited by 10 publications

(8 citation statements)

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“…Monte Carlo method is used to obtain the pedestrian's kinematic parameters, which results in different pacing frequency, step length, step width etc. for each individual (Toso et al [3]). Regarding to biodynamic parameters, Toso et al [19] proposed a single degree of freedom (SDOF) biodynamic model to obtain the following parameters: mass (m), damping (c) and stiffness (k).…”

Section: Numerical Model Resultsmentioning

confidence: 99%

“…Then, it is necessary to incorporate other parameters to simulate the pedestrian-structure interaction (for instance, considering biodynamic models). Furthermore, in a recent publication Toso et al [3] proposed a force model called Fully Synchronized Force Model (FSFM). In that model, the changes in velocities during the walking (single and double stance phase) were considered and they were synchronized in time and space.…”

Section: Force Modelsmentioning

confidence: 99%

“…There are parameters like step length and step width that influence the application of the resulting force. Using a specifically designed force platform, these kinematic parameters were measured, and average values for a test campaign with 54 subjects were presented by Toso et al [3]. In that proposed force model, peak and valley values from each force component should be placed accordingly in the right position of the contact surface and the model's reference time adjusted to the correct phase.…”

Section: Force Modelsmentioning

confidence: 99%

“…Thus, there is a spatial and temporal synchronization of the three ground reaction force components. More details about the Fully Synchronized Force Model (FSFM) can be found in Toso et al [3].…”

Section: Force Modelsmentioning

confidence: 99%

“…This paper presents a study on the interaction between walking pedestrians and a flexible footbridge. The paper uses some previous investigation results (Toso et al [3] and Toso and Gomes [4]). A Biodynamic Synchronized Coupled Model (BSCM) is used to analyze the pedestrian structure interaction.…”

Section: Introductionmentioning

confidence: 99%

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Biodynamic Synchronized Coupled Model for Crowd-Footbridge Interaction

Toso¹,

Gomes²

2021

European Journal of Formal Sciences and Engineering

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Nowadays there are growing interests in vibration serviceability assessments of composite footbridges. The new design trends of composite footbridges make them slender civil structures that may be affected by the load action of walking pedestrians resulting in large deflections or even uncomfortable vibrations. Furthermore, the presence of people on the footbridges causes the addition of mass to the structural system and due to the human body’s ability to absorb vibrational energy, an increase in structural damping. In this paper, the interaction between pedestrian and structure is modelled using data from pedestrian characteristics and vibration data from a measured footbridge as a comparison basis. A previously developed numerical model was used, this model called Biodynamic Synchronized Coupled Model (BSCM) consists of a fully synchronized force model in the longitudinal and lateral direction of pedestrian’s movement and a biodynamic model with mass, damping and stiffness parameters. The model is coupled with the structure using the Finite Element Method at the feet’s contact points. Pedestrians are treated as individuals with intrinsic kinetic and kinematic parameters following a measured correlation matrix obtained by the use of an especially designed force platform. Finally, the adequacy of the proposed model to represent the pedestrians as BSCM for the walking effects on the structure is investigated by experimentally measured accelerations on a footbridge (freely walking). The numerical results show good agreement with the experimental results.

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Section: Numerical Model Resultsmentioning

confidence: 99%

Section: Force Modelsmentioning

confidence: 99%

Section: Force Modelsmentioning

confidence: 99%

Section: Force Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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