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基于随机行走模型的行人实感振动响应分析OA北大核心CSTPCD

Analysis of human-induced pedestrian vibration perception based on stochastic walking model

中文摘要英文摘要

针对人群荷载随机性对行人振动感知的影响,研究随机行走模型中行人感知振动响应动态变化规律.首先,基于随机人群行走模型,建立了考虑行人实感的竖向振动响应分析方法.然后,对比分析不同随机行走模型下行人实感最大振动响应、出现时刻以及位置区间上的变化规律.最后,通过研究行人实感最大振动响应与结构跨中峰值加速度之间的相关关系,定义振动响应折减系数和变异系数,提出行人实感最大振动响应的近似计算方法.研究结果表明:有序排列模型(Ordered Arrangement Model,OAM)、随机到达模型(Stochastic Arrival Model,SAM)、随机分布模型(Stochastic Distribution Mode,SDM)、动态平衡模型(Dynamic Equilibrium Model,DEM)4种人群行走模型下,行人实感的最大加速度响应服从近似的正态分布,OAM的值域范围大于其他3类模型;最大响应出现位置以及出现时刻取决于行人的行走方式,随人群密度增长无明显变化;OAM与SAM分布规律相同,出现时刻主要集中在总时程内的中间段,而SDM与DEM分布相对均匀;行人实感的最大响应计算值与实际值最大误差不超过5%.

To address the impact of the randomness of crowd load on pedestrian vibration perception,the dynamic variation laws of pedestrian perception vibration response in random walking models are studied. Firstly, a method for analyzing vertical vibration response considering pedestrian perception is established based on a stochastic crowd walking model. Secondly, different stochastic walking models are compared and analyzed in terms of the maximum perceived vibration response, occurrence time, and location interval. Finally, by studying the correlation between the maximum perceived vibration re-sponse of pedestrians and the peak acceleration of the structure, the vibration response reduction coeffi-cient and coefficient of variation are defined, and an approximate calculation method for the maximumperceived vibration response of pedestrians is proposed. The results indicate that under the four crowd walking models, the maximum acceleration of pedestrian perception follows an approximate normal distribution, with the Ordered Arrangement Model (OAM) having a larger range of values than the other three models. The location and time of the maximum response depend on the walking pattern of pedestrians, with no significant changes as the population density increases. In addition, the distribu-tion of OAM is the same as that of the Stochastic Arrival Model (SAM), concentrated mainly in the middle of the total time-history. Conversely, the distribution of the Stochastic Distribution Model (SDM) and Dynamic Equilibrium Model (DEM) is relatively uniform. The maximum error between the calculated maximum response value and the actual value of pedestrian perception is less than 5 %.

冯宇豪;陈得意;王振宇;黄仕平;贺月洁

长江大学城市建设学院,湖北荆州 434023华南理工大学土木与交通学院,广州 510640

交通运输

人致振动振动响应折减系数随机行走模型行人实感人行桥

human-induced vibrationvibration response reduction coefficientstochastic walking modelpedestrian perceptionpedestrian bridge

《北京交通大学学报》 2024 (001)

接触/摩擦问题的高效、并行算法研究

125-137 / 13

国家自然科学基金(11911530692);湖北省教育厅科学研究计划(Q20221305)National Natural Science Foundation of China(11911530692);Scientific Research Plan of Hubei Provincial Department of Education(Q20221305)

10.11860/j.issn.1673-0291.20230018

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