Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Nimmen, Katrien Van; Lombaert, Geert; Roeck, Guido De; Broeck, Peter Van den

doi:10.3791/53668

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…For human well-being, researchers have been studying floor vibrations serviceability over the last three decades to come up with efficient ways to keep the vibration levels below tolerance limits for different types of floors [11][12][13]. The findings of these studies have been implemented in a number of structural design guides [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A novel video-vibration monitoring system for walking pattern identification on floors

Abdeljaber

Hussein

Avcı

et al. 2020

Advances in Engineering Software

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Walking-induced loads on office floors can generate unwanted vibrations. The current multiperson loading models are limited since they do not take into account nondeterministic factors such as pacing rates, walking paths, obstacles in walking paths, busyness of floors, stride lengths, and interactions among the occupants. This study proposes a novel video-vibration monitoring system to investigate the complex human walking patterns on floors. The system is capable of capturing occupant movements on the floor with cameras, and extracting walking trajectories using image processing techniques. To demonstrate its capabilities, the system was installed on a real office floor and resulting trajectories were statistically analyzed to identify the actual walking patterns, paths, pacing rates, and busyness of the floor with respect to time. The correlation between the vibration levels measured by the wireless sensors and the trajectories extracted from the video recordings were also investigated. The results showed that the proposed video-vibration monitoring system has strong potential to be used in training data-driven crowd models, which can be used in future studies to generate realistic multi-person loading scenarios.

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Section: Introductionmentioning

confidence: 99%

A novel video-vibration monitoring system for walking pattern identification on floors

Abdeljaber

Hussein

Avcı

et al. 2020

Advances in Engineering Software

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“…Group and crowd forces can also be measured indirectly, by monitoring movements/trajectories of each individual in a crowd via various non-contact technologies, such as motion capture (Chen et al, 2019), video analysis (Celik et al, 2018), 3D inertial motion-tracking techniques (Van Nimmen et al, 2016) and smart-phones (Chen et al, 2016). The bouncing force of each person can then be estimated through a bio-mechanical model.…”

Section: Introductionmentioning

confidence: 99%

Prediction of floor responses to crowd bouncing loads by response reduction factor and spectrum method

Chen

Ren

Racić

2020

Advances in Structural Engineering

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Bouncing is a typical rhythmic crowd activity in entertaining venues, such as concert halls and stadia. When the activity’s frequency is close to the natural frequency of the occupied structure, the corresponding bouncing loads can cause intense structural vibrations resulting in vibration serviceability problems, even structural damage. This study suggests a method for prediction of vibration response due to crowd bouncing by a response reduction factor (RRF) in conjunction with a previously established response spectrum approach pertinent to a single person bouncing. The RRF is defined as a ratio between structural responses with and without taking into account synchronization of body movements of individuals in a bouncing crowd. The variations of RRF with number of persons, structural frequency, bouncing frequency and structural damping ratios have been studied using experimental records of crowd bouncing loads. Based on the findings a practical design curve for RRF has been proposed. Application of the proposed method has been validated on numerical simulations and field measurements of a long-span floor subjected to crowd bouncing loads.

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“…e use of force plates to measure large groups (N > 15) of bouncing persons is impractical due to the complicated experimental setup and the related high experimental cost. Recently, other experimental approaches that are primarily developed for application in biomechanical sciences are being adopted to investigate human-induced loads, such as the optical marker-based technology of Vicon [19], CODA [20], and the 3D inertial motion-tracking techniques for the registration of in-field pedestrian behavior [21]. Cappozzo et al [22] explained the theory of the reconstruction of the body motion using the motion capture system with target markers stuck to the skin surface of the participant.…”

Section: Introductionmentioning

confidence: 99%

Data‐Driven Synchronization Analysis of a Bouncing Crowd

Chen

Tan

Nimmen

et al. 2019

Shock and Vibration

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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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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Cited by 3 publications

References 15 publications

A novel video-vibration monitoring system for walking pattern identification on floors

A novel video-vibration monitoring system for walking pattern identification on floors

Prediction of floor responses to crowd bouncing loads by response reduction factor and spectrum method

Data‐Driven Synchronization Analysis of a Bouncing Crowd

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