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Evaluation of TMD Performance in Footbridges Using Human Walking Probabilistic Models

机译：利用人走概率模型评估脚底桥中的TMD性能

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Footbridges are generally slender and lightweight structures with low stiffness, designed to support dynamic loads generated by crowds. Therefore, these structures are exposed to vibration problems related to the resonance of human walking step frequencies and the lower vibration modes. To mitigate these problems, one of the most applied corrective strategies is the installation of tuned mass damper (TMD) systems that aim at the vibration reduction of the footbridge’s dominant mode. A fundamental matter in both the footbridge and the TMD design is the pedestrian load modelling, generally considered as a deterministically moving force or a biodynamic model. However, as human gait is a random process, the deterministic models can lead to non-realistic results, directly affecting the TMD system efficiency. In contrast, the use of probabilistic distributions to simulate the human walk randomness can lead to more reliable time series predictions. In this paper, a random walk (RW) algorithm is developed and applied to simulate different crowd scenarios using a simplified plane model of a coupled human-structure-TMD system. In each scenario, the TMD efficiency in reducing the vibration amplitudes is assessed. Results highlight the importance of considering the walking randomness and pedestrians’ dynamic properties in the TMD design.
机译：脚架通常是细长和轻质结构，具有低刚度，旨在支持人群产生的动态载荷。因此，这些结构暴露于与人行道的谐振和较低振动模式相关的振动问题。为了减轻这些问题，最具应用的纠正策略之一是安装调谐质量阻尼器（TMD）系统，该系统旨在瞄准人行桥的主导模式的减振。行人桥和TMD设计中的一个基本物质是行人载荷建模，通常被认为是一个确定性地移动力或生物动力模型。然而，随着人体步态是一种随机过程，确定性模型可以导致非现实的结果，直接影响TMD系统效率。相比之下，使用概率分布来模拟人类的漫步随机性可以导致更可靠的时间序列预测。在本文中，开发了一种随机步行（RW）算法，并应用了使用耦合人结构TMD系统的简化平面模型来模拟不同的人群情景。在每种情况下，评估降低振动幅度的TMD效率。结果突出了考虑TMD设计中的行走随机性和行人的动态特性的重要性。

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