Time-dependent spectral analysis of interactions within groups of walking pedestrians and vertical structural motion using wavelets

M Bocian,L Gilbert,V Racic,R Beasley,D Hester,A Quattrone,J.M.W Brownjohn

doi:10.1016/j.ymssp.2017.12.020

Abstract

The research presented in this study was funded by EPSRC (grant reference EP/I029567/2). Devon County Council is acknowledged for permitting the experimental campaign to be conducted on Baker Bridge in Exeter, UK. Dr. Racic was supported by PRIN project 2015TTJN95: Identification and monitoring of complex structural systems.

Highlights

It is widely recognised that crowd dynamics are determined by local interactions between pedestrians and pedestrians and the environment [1]
A wireless sensor network of motion monitors was used to obtain data on pedestrians’ vertical force, time-synchronised with vertical bridge response data obtained with a set of wired accelerometers
A bivariate analysis framework was proposed and applied to study pedestrian-pedestrian and pedestrian-structure interactions encompassing wavelet transform, synchronisation measures derived from Shannon entropy and circular statistics

Summary

Introduction

It is widely recognised that crowd dynamics are determined by local interactions between pedestrians and pedestrians and the environment [1]. M. Bocian et al / Mechanical Systems and Signal Processing 105 (2018) 502–523 intermittent changes in pacing rate, step length and walking velocity. Bocian et al / Mechanical Systems and Signal Processing 105 (2018) 502–523 intermittent changes in pacing rate, step length and walking velocity Such behaviour can introduce non-stationary power at different frequency components in the spectra of the signals associated with pedestrian structural loading. A common practice in the development of crowd loading models on structures is to adopt an ansatz relating crowd density and the level of synchronisation of pedestrians’ footsteps, or model pedestrian loading within a highly stochastic framework disregarding any deterministic relationships which can govern pedestrian behaviour

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