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An indirect bridge frequency identification method using dynamic responses of high-speed railway vehicles

机译:一种间接桥梁频率识别方法,采用高速铁路车辆动态响应

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The identification of bridge frequencies using dynamic responses of moving vehicles has been studied by many researchers, however, most of them assume that the vehicle moves at a relatively low speed. In the application of high-speed railway bridges, the bridge span is typically short and the train always moves at a very high speed, which implies that the duration of the vehicle traveling on the bridge is very short and the signal recorded from the vehicle is not long enough for signal processing to extract the bridge frequency. The present study proposes a new method to identify the bridge frequency from vehicles moving at a high speed by combining the responses of multiple vehicles. The theoretical analysis is conducted using the simple vehicle-bridge interaction (VBI) model. By subtracting the acceleration responses of adjacent vehicles at the same position on the bridge, the residual vehicle responses were obtained and combined, which eliminated the additional driving frequencies and avoided its interference on the bridge frequency identification. Numerical simulations are then conducted to verify the proposed method, which shows that by combining the acceleration of several vehicles to extend the overall duration of the signal, the frequency resolution can be improved and the bridge frequency can be successfully identified using vehicles travelling at a high speed. The influence of track irregularity, vehicle speed, bridge stiffness, and bridge damping on the identification results has also been studied. In addition, a multi-degree-offreedom vehicle model is used to further verify the proposed method.
机译:许多研究人员研究了使用动态响应的桥梁频率的识别,但是,许多研究人员都是假设车辆以相对低的速度移动。在高速铁路桥的应用中,桥跨通常短,火车总是以非常高的速度移动,这意味着在桥上行驶的车辆的持续时间非常短,并且从车辆记录的信号是非常短的并且不足以足以用于提取桥频率的信号处理。本研究提出了一种通过组合多车辆的响应来识别从高速移动的车辆识别桥梁频率的新方法。使用简单的车桥相互作用(VBI)模型进行理论分析。通过在桥上的相同位置中减去相邻车辆的加速响应,获得并组合剩余的车辆响应,并将其消除了附加的驱动频率,并避免了对桥梁频率识别的干扰。然后进行数值模拟以验证所提出的方法,其示出了通过组合若干车辆的加速度来延长信号的整体持续时间,可以提高频率分辨率,并且可以使用高高行进的车辆成功识别频率分辨率。速度。还研究了轨道不规则,车速,桥刚度和桥梁对识别结果的影响。此外,使用多度offreedom车辆模型来进一步验证所提出的方法。

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