Modelling framework for dynamic interaction between multiple pedestrians and vertical vibrations of footbridges

• Published in: Journal of sound and vibration Vol. 379; pp. 245 - 263
• Main Authors: Venuti, Fiammetta, Racic, Vitomir, Corbetta, Alessandro
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 29.09.2016
• Subjects: Computer simulation; Dynamical systems; Dynamics; Pedestrian bridges; Pedestrians; Traffic models; Vibration; Walking
• ISSN: 0022-460X; 1095-8568
• DOI: 10.1016/j.jsv.2016.05.047

After 15years of active research on the interaction between moving people and civil engineering structures, there is still a lack of reliable models and adequate design guidelines pertinent to vibration serviceability of footbridges due to multiple pedestrians. There are three key issues that a new generation of models should urgently address: pedestrian “intelligent” interaction with the surrounding people and environment, effect of human bodies on dynamic properties of unoccupied structure and inter-subject and intra-subject variability of pedestrian walking loads. This paper presents a modelling framework of human–structure interaction in the vertical direction which addresses all three issues. The framework comprises two main models: (1) a microscopic model of multiple pedestrian traffic that simulates time varying position and velocity of each individual pedestrian on the footbridge deck, and (2) a coupled dynamic model of a footbridge and multiple walking pedestrians. The footbridge is modelled as a SDOF system having the dynamic properties of the unoccupied structure. Each walking pedestrian in a group or crowd is modelled as a SDOF system with an adjacent stochastic vertical force that moves along the footbridge following the trajectory and the gait pattern simulated by the microscopic model of pedestrian traffic. Performance of the suggested modelling framework is illustrated by a series of simulated vibration responses of a virtual footbridge due to light, medium and dense pedestrian traffic. Moreover, the Weibull distribution is shown to fit well the probability density function of the local peaks in the acceleration response. Considering the inherent randomness of the crowd, this makes it possible to determine the probability of exceeding any given acceleration value of the occupied bridge.