Data-Driven Synchronization Analysis of a Bouncing Crowd

Vibration serviceability problems concerning lightweight, flexible long-span floors and cantilever structures such as grandstands generally arise from crowd-induced loading, in particular due to bouncing or jumping activities. Predicting the dynamic responses of these structures induced by bouncing...

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Main Authors: Jun Chen, Huan Tan, Katrien Van Nimmen, Peter Van den Broeck
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2019/8528763
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author Jun Chen
Huan Tan
Katrien Van Nimmen
Peter Van den Broeck
author_facet Jun Chen
Huan Tan
Katrien Van Nimmen
Peter Van den Broeck
author_sort Jun Chen
collection DOAJ
description Vibration serviceability problems concerning lightweight, flexible long-span floors and cantilever structures such as grandstands generally arise from crowd-induced loading, in particular due to bouncing or jumping activities. Predicting the dynamic responses of these structures induced by bouncing and jumping crowds has therefore become a critical aspect of vibration serviceability design. Although accurate models describing the load induced by a single person are available, essential information on the level of synchronization within the crowd is missing. In answer to this lack of information, this paper experimentally investigates the inter- and intraperson variability as well as the global crowd behavior in bouncing crowds. A group size of 48 persons is considered in the experiment whereby the individual body motions are registered synchronously by means of a 3D motion capture system. Preliminary tests verified a new approach to characterize the bouncing motion via markers on the clavicle. Subsequently, the full-scale experimental study considered various crowd spacing parameters, auditory stimuli, and bouncing frequencies. Moreover, special test cases were performed whereby each participant was wearing an eyepatch to exclude visual effects. Through the analysis of 330 test cases, the interperson variability at the bouncing frequency is identified. In addition, the cross-correlation and coherence between participants are analyzed. The coherence coefficients between each pair of participants in the same row or column are calculated and can be described by a lognormal distribution function. The influence of the spatial configurations and visual and auditory stimuli is analyzed. For the considered spatial configurations, no relevant impact on the inter- and intraperson variability in the bouncing motion nor in the global crowd behavior is observed. Visual stimuli are found to enhance the coordination and synchronization. Without eyesight, the participants are feeling uncertain about their bouncing behavior. The results evaluating the auditory cues indicate that significantly higher levels of synchronization and a lower degree of the intraperson variability are attained when a metronome cue is used in comparison to songs where the tempo often varies.
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spelling doaj-art-63a3bb8d711f4fc0b8af2ba5986e92aa2025-02-03T01:23:17ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/85287638528763Data-Driven Synchronization Analysis of a Bouncing CrowdJun Chen0Huan Tan1Katrien Van Nimmen2Peter Van den Broeck3College of Civil Engineering and Architecture, Xinjiang University, Ürümqi 830047, ChinaCollege of Civil Engineering, Tongji University, Siping Road No. 1239, Shanghai 200092, ChinaKU Leuven, Department of Civil Engineering, Structural Mechanics, B-3001 Leuven, BelgiumKU Leuven, Department of Civil Engineering, Structural Mechanics, B-3001 Leuven, BelgiumVibration serviceability problems concerning lightweight, flexible long-span floors and cantilever structures such as grandstands generally arise from crowd-induced loading, in particular due to bouncing or jumping activities. Predicting the dynamic responses of these structures induced by bouncing and jumping crowds has therefore become a critical aspect of vibration serviceability design. Although accurate models describing the load induced by a single person are available, essential information on the level of synchronization within the crowd is missing. In answer to this lack of information, this paper experimentally investigates the inter- and intraperson variability as well as the global crowd behavior in bouncing crowds. A group size of 48 persons is considered in the experiment whereby the individual body motions are registered synchronously by means of a 3D motion capture system. Preliminary tests verified a new approach to characterize the bouncing motion via markers on the clavicle. Subsequently, the full-scale experimental study considered various crowd spacing parameters, auditory stimuli, and bouncing frequencies. Moreover, special test cases were performed whereby each participant was wearing an eyepatch to exclude visual effects. Through the analysis of 330 test cases, the interperson variability at the bouncing frequency is identified. In addition, the cross-correlation and coherence between participants are analyzed. The coherence coefficients between each pair of participants in the same row or column are calculated and can be described by a lognormal distribution function. The influence of the spatial configurations and visual and auditory stimuli is analyzed. For the considered spatial configurations, no relevant impact on the inter- and intraperson variability in the bouncing motion nor in the global crowd behavior is observed. Visual stimuli are found to enhance the coordination and synchronization. Without eyesight, the participants are feeling uncertain about their bouncing behavior. The results evaluating the auditory cues indicate that significantly higher levels of synchronization and a lower degree of the intraperson variability are attained when a metronome cue is used in comparison to songs where the tempo often varies.http://dx.doi.org/10.1155/2019/8528763
spellingShingle Jun Chen
Huan Tan
Katrien Van Nimmen
Peter Van den Broeck
Data-Driven Synchronization Analysis of a Bouncing Crowd
Shock and Vibration
title Data-Driven Synchronization Analysis of a Bouncing Crowd
title_full Data-Driven Synchronization Analysis of a Bouncing Crowd
title_fullStr Data-Driven Synchronization Analysis of a Bouncing Crowd
title_full_unstemmed Data-Driven Synchronization Analysis of a Bouncing Crowd
title_short Data-Driven Synchronization Analysis of a Bouncing Crowd
title_sort data driven synchronization analysis of a bouncing crowd
url http://dx.doi.org/10.1155/2019/8528763
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