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Mathematical modelling of random narrow band lateral excitation of footbridges due to pedestrians walking

机译:行人步行导致人行天桥随机窄带横向激励的数学模型

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摘要

Motivated by the existing models of wind and earthquake loading, speech recognition techniques and a method of replicating electrocardiogram (ECG) signals, this paper presents a mathematical model to generate synthetic narrow band lateral force signals due to individuals walking. The model is fitted to a database comprising many directly measured walking time series, yielding a random approach to generating their artificial - yet realistic counterparts. This multi-disciplinary modelling strategy offers a radical departure from traditional Fourier-based representations of lateral walking loads towards more reliable and more realistic vibration serviceability assessment of footbridges.
机译:受现有的风和地震荷载模型,语音识别技术和复制心电图(ECG)信号的方法的启发,本文提出了一种数学模型,该模型可生成由于个人行走而产生的合成窄带横向力信号。该模型被拟合到一个包含许多直接测量的步行时间序列的数据库中,从而产生了一种随机方法来生成其人工的但现实的对应物。这种多学科的建模策略与传统的基于傅立叶的侧向步行荷载表示法相比,向天桥的更可靠,更现实的振动可服务性评估提供了根本性的偏离。

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