Computer Vision Approach for Investigation on Synchronization of Bouncing Crowd

被引：0
|
作者：
Chen J. [1 ,2 ]
Zeng D. [2 ]
Li R. [2 ]
机构：
[1] State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai
[2] College of Civil Engineering, Tongji University, Shanghai
来源：
Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering | 2023年 / 31卷 / 01期
关键词：
Bounce load; Computer vision; Crowd experiment; Crowd load; Optical flow method; Synchronization;
D O I：
10.16058/j.issn.1005-0930.2023.01.009
中图分类号：
学科分类号：
摘要：
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. © 2023, The Editorial Board of Journal of Basic Science and Engineering. All right reserved.
引用
收藏
页码：113 / 125
页数：12
相关论文
共 26 条
  • [1] Chen Jun, Human-induced load and structural vibration, (2016)
  • [2] Chen Jun, A review of human-induced loads Study, Journal of Vibration and Shock, 36, 23, pp. 1-9, (2017)
  • [3] Erlingsson S, Bodare A., Live load induced vibrations in Ullevi Stadium-dynamic dynamic soil analysis[J], Soil Dynamics and Earthquake Engineering, 15, 3, pp. 171-188, (1996)
  • [4] Yuan J, He L, Fan F, Liu C., The dynamic parameters of passive human at temporary demountable grandstands during exposure to lateral vibration[J], Journal of Civil Engineering and Management, 24, 4, pp. 265-283, (2018)
  • [5] Chen Jun, Wang Lei, Lou Jiayue, Et al., Acceleration response spectrum for predicting floor vibration due to single human bounce load, Journal of Vibration and Shock, 34, 5, pp. 14-19, (2015)
  • [6] Parkhouse J G, Ewins D J., Crowd-induced rhythmic loading[J], Proceedings of the Institution of Civil Engineers-Structures and Buildings, 159, 5, pp. 247-259, (2006)
  • [7] Comer A J, Blakeborough A, Williams M S., Grandstand simulator for dynamic human-structure interaction experiments[J], Experimental Mechanics, 50, 6, pp. 825-834, (2010)
  • [8] Chen J, Tan H, Nimmen K V, Et al., Data-driven synchronization analysis of a bouncing crowd[J], Shock and Vibration, 2019, 5, pp. 1-23, (2019)
  • [9] Bao Yuequan, Li Hui, Artificial intelligence for civil engineering, China Civil Engineering Journal, 52, 5, pp. 1-11, (2019)
  • [10] Celik O, Dong C Z, Catbas F N., A computer vision approach for the load time history estimation of lively individuals and crowds[J], Computers & Structures, 200, pp. 32-52, (2018)
123