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    基于计算机视觉的人群Bounce荷载协同性研究

    Computer Vision Approach for Investigation on Synchronization of Bouncing Crowd

    • 摘要: 大跨工程结构人致振动问题的日益增多,凸显了人群荷载模型研究的重要性和研究程度的不足.人群内个体间的协同性是人群荷载建模的关键.通过学科交叉,引入计算机视觉技术克服了传统方法所面临的实验成本较高以及同步困难的瓶颈问题.首先介绍光流法及其应用原理,建立了基于光流法的Bounce荷载重构方法并与高精度测力板结果进行对比验证.随后开展基于计算机视觉的人群Bounce实验,重构了多工况下个体的荷载时程,进而定义并计算人群协同性因子,并给出因子随频率及人数的变化规律.结果表明,计算机视觉方法可用于人群Bounce荷载实验测量,并能实现对人群Bounce荷载协同性的定量描述.

       

      Abstract: The increasing number of human-induced vibration problems for long-span engineering structures indicates the importance as well as a lack of research for crowd load modelling.The synchronization between individuals is the key for crowd load modelling.To get over the problems of considerable expense and acquiring synchronized time-history data faced by traditional experimental methods, computer vision techniques were introduced by interdisciplinary research.Firstly, the optical flow method and its application theory were investigated.A reconstruction procedure for bouncing load was developed and verified through an experiment in a gait laboratory.Crowd bouncing experiments were carried out.The synchronized time history of bouncing loads for every individual in different situations were acquired through the developed procedure.The coordination factors were defined and calculated accordingly.The values of coordination factors at different frequencies of metronome beats and numbers of people were given and investigated.The analysis results show that the method and the procedure developed are capable for reconstructing crowd-bouncing loads and evaluating the synchronization of a bouncing crowd quantificationally.

       

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