Experimental identification of the behaviour of and lateral forces from freely-walking pedestrians on laterally oscillating structures in a virtual reality environment

Mateusz Bocian*, John H G Macdonald, Jeremy F. Burn, David Redmill

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

23 Citations (Scopus)
342 Downloads (Pure)

Abstract

Modelling pedestrian loading on lively structures such as bridges remains a challenge. This is because pedestrians have the capacity to interact with vibrating structures which can lead to amplification of the structural response. Current design guidelines are often inaccurate and limiting as they do not sufficiently acknowledge this effect. This originates in scarcity of data on pedestrian behaviour on vibrating ground and uncertainty as to the accuracy of results from previous experimental campaigns aiming to quantify pedestrian behaviour in this case. To this end, this paper presents a novel experimental setup developed to evaluate pedestrian actions on laterally oscillating ground in the laboratory environment while avoiding the implications of artificiality and allowing for unconstrained gait. A biologically-inspired approach was adopted in its development, relying on appreciation of operational complexities of biological systems, in particular their adaptability and control requirements. In determination of pedestrian forces to the structure consideration was given to signal processing issues which have been neglected in past studies. The results from tests conducted on the setup are related to results from previous experimental investigations and outputs of the inverted pendulum pedestrian model for walking on laterally oscillating ground, which is capable of generating self-excited forces.

Original languageEnglish
Pages (from-to)62-76
Number of pages15
JournalEngineering Structures
Volume105
Early online date24 Oct 2015
DOIs
Publication statusPublished - 15 Dec 2015

Structured keywords

  • Cognitive Science
  • Visual Perception

Keywords

  • Biomechanics
  • Bridges
  • Human-structure interaction
  • Inverted pendulum pedestrian model
  • Self-excited forces
  • Virtual reality environment

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