基于随机行走模型的人致人行桥振动响应分析
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U448

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国家自然科学基金(51978078)


Vibration Response Analysis of Human-induced Footbridge Based on Random Walking Model
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Supported by the National Natural Science Foundation of China (51978078)

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    摘要:

    为研究人致荷载中的随机性对人行桥结构振动响应的影响,首先,提出了四种考虑时—空多尺度的随机行走模型,对随机步行荷载激励下的动力学方程进行了解耦;其次,分析了每种模型的峰值加速度响应、桥上驻留人数以及人群占位区间上的变化规律;最后,对比研究了不同模型之间的区别。研究结果表明:有序排列模型(OAM)的响应值域范围较广,易出现大幅振动,人行桥峰值加速度出现时刻,人群荷载主要作用在跨中位置;随机分布模型(SDM)、随机到达模型(SAM)以及动态平衡模型(DEM)的峰值加速度响应均服从正态分布规律,且结构最大响应时人群主要分布在下桥端附近;SDM的驻留人数主要与初始时刻人数相同,DEM的驻留人数取决于稳态下的行人数,SAM则相对均匀;考虑行人行走随机性的四种模型可用于人致人行桥振动响应分析和舒适度评估。

    Abstract:

    This paper aims to study the influence of randomness under human-induced load on the vibration response of footbridge structure. Firstly, four random walking models considering time-space multi-scale were proposed, and the dynamic equations under the excitation of random walking load were decoupled. Secondly, the peak acceleration response of each model, the number of residents on the bridge and the variation of the occupancy interval of the crowd were analyzed. Finally, the differences between different models were compared. The results show that the response range of the OAM is wide, which is prone to large vibration. When the peak acceleration of the footbridge occurs, the crowd load mainly acts on the mid-span position. The peak acceleration responses of the SDM, SAM and DEM all follow the normal distribution law, and the population is mainly distributed near the lower end of the bridge when the structure has the maximum response. The resident number of SDM is mainly the same as that of initial time. The resident number of DEM depends on the number of pedestrians in steady state, while Sam is relatively uniform. The four models considering the randomness of pedestrian walking can be used for vibration response analysis and comfort evaluation of human-induced footbridge.

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王振宇,陈得意,杜磊,等. 基于随机行走模型的人致人行桥振动响应分析[J]. 科学技术与工程, 2021, 21(31): 13536-13544.
Wang Zhenyu, Chen Deyi, Du Lei, et al. Vibration Response Analysis of Human-induced Footbridge Based on Random Walking Model[J]. Science Technology and Engineering,2021,21(31):13536-13544.

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  • 收稿日期:2021-01-29
  • 最后修改日期:2021-09-01
  • 录用日期:2021-08-16
  • 在线发布日期: 2021-11-15
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