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人致结构振动计算中随机人群行为的模拟

韦欣欣

韦欣欣. 人致结构振动计算中随机人群行为的模拟[J]. 工程力学, 2022, 39(S): 330-335. doi: 10.6052/j.issn.1000-4750.2021.05.S059
引用本文: 韦欣欣. 人致结构振动计算中随机人群行为的模拟[J]. 工程力学, 2022, 39(S): 330-335. doi: 10.6052/j.issn.1000-4750.2021.05.S059
WEI Xin-xin. SIMULATION OF RANDOM CROWD BEHAVIOUR FOR HUMAN-INDUCED VIBRATION CALCULATION[J]. Engineering Mechanics, 2022, 39(S): 330-335. doi: 10.6052/j.issn.1000-4750.2021.05.S059
Citation: WEI Xin-xin. SIMULATION OF RANDOM CROWD BEHAVIOUR FOR HUMAN-INDUCED VIBRATION CALCULATION[J]. Engineering Mechanics, 2022, 39(S): 330-335. doi: 10.6052/j.issn.1000-4750.2021.05.S059

人致结构振动计算中随机人群行为的模拟

doi: 10.6052/j.issn.1000-4750.2021.05.S059
详细信息
    通讯作者:

    韦欣欣(1987−),男,浙江人,德国波鸿鲁尔大学科学人员,博士生,主要从事结构振动相关研究(E-mail: wei_xinxin@hotmail.com)

  • 中图分类号: U441+.3

SIMULATION OF RANDOM CROWD BEHAVIOUR FOR HUMAN-INDUCED VIBRATION CALCULATION

  • 摘要: 人行结构(如:人行天桥)的动力设计中,人致结构振动舒适度往往决定最终的结构设计方案。为满足舒适度要求,一般需要将结构振动水平控制在舒适度指标范围内。因此,在设计阶段,准确预测人致结构振动水平十分关键。为准确施加步行荷载,需要预先知道结构建成之后其上面活动的人群行为,如:行走路径和速度等。该文采用修正后的社会力模型,该模型能考虑不同的人群密度、所处地域、行走目的和方向,还能考虑行人到达结构的时间、初始位置、初始行走速度等的随机性。通过模拟一个典型桥面上的随机人群,展示了该模型的适用性。模拟结果表明:跟自由行走不同,人群中,行人的行走路径和速度因受他人和周围环境的影响而实时变化;行走路径不按直线路线;行走速度低于自由行走速度。相应地,人群作为一个整体,行人位置分布实时变化;人群平均速度也实时变化且低于自由行走速度,待人群稳定后,在稳定范围内波动。该文工作可为准确施加步行荷载提供思路。
  • 图  1  $\alpha $号行人身上受到的社会力

    Figure  1.  The social forces acting on pedestrian $\alpha $

    图  2  行走桥面尺寸及坐标系

    Figure  2.  The bridge deck dimension and coordinate system

    图  3  行人在结构上的位置分布

    Figure  3.  The pedestrian location distributions on the structure

    图  4  实时人群密度

    Figure  4.  The crowd density in real-time

    图  5  人群中行人速度分布直方图

    Figure  5.  The histogram of walking speeds for the crowd

    图  6  实时人群平均速度

    Figure  6.  The real-time mean speed of the crowd

    图  7  第57号行人的行走路径

    Figure  7.  The walking trajectory of the pedestrian 57

    图  8  第57号行人的行走速度

    Figure  8.  The walking speed of the pedestrian 57

    图  9  第57号行人的行走速度直方图

    Figure  9.  The histogram of walking speeds for pedestrian 57

    表  1  地域调整系数${\alpha _{{{\rm{G}}}}}$

    Table  1.   Adjusting coefficient for geographic areas ${\alpha _{{{\rm{G}}}}}$

    欧洲美国亚洲
    1.051.010.92
    下载: 导出CSV

    表  2  行走目的调整系数${\alpha _{{{\rm{T}}}}}$

    Table  2.   Adjusting coefficient for travel purposes ${\alpha _{{{\rm{T}}}}}$

    匆忙赶时间工作通勤日常休闲
    1.201.110.84
    下载: 导出CSV

    表  3  社会力模型主要参数值

    Table  3.   Main parameter values

    参数参数参数
    ${\tau _\alpha }$/s0.50$A_\alpha ^1$/(m/s2)9.43$B_\alpha ^1$/m0.35
    ${\lambda _\alpha }$0.82$A_\alpha ^B$/(m/s2)5.00$B_\alpha ^B$/m0.10
    ${r_\alpha }$/m0.30${r_{\alpha \beta }}$/m0.60
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-05-27
  • 修回日期:  2022-01-22
  • 网络出版日期:  2022-03-23
  • 刊出日期:  2022-06-06

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