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首页> 外文期刊>Mechanical systems and signal processing >Bayesian time-frequency analysis of the vehicle-bridge dynamic interaction effect on simple-supported resonant railway bridges
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Bayesian time-frequency analysis of the vehicle-bridge dynamic interaction effect on simple-supported resonant railway bridges

机译：简支共振铁路桥梁车桥动力相互作用的贝叶斯时频分析。

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摘要

Monitoring the conditions or damages of bridges under train passages demands a high-accuracy modal-characteristic identification method that separates the apparent fluctuations caused by vehicle-bridge dynamic interaction (VBI) effects from other fluctuations. This study proposes a novel method based on a time-varying autoregressive model, which is solved using a hierarchical Bayesian estimation approach. The VBI effect is estimated from the displacement response of the railway bridges as temporal fluctuations of the natural frequency and modal damping ratio. The exogenous variable is the train load, expressed as an external force. Numerical experiments verified the higher accuracy of the proposed method than the existing method. The influences of train speed and rail irregularity on the VBI effects are clarified by the application of the proposed method to various VBI simulations. The proposed method was applied to the measured resonance responses of actual bridges and succeeded in empirically demonstrating the decreased natural frequency and the increased modal damping ratio under train passage. Additionally, using the proposed method, modal characteristics variation due to VBI effect calculated using VBI model simulation was verified by comparing with those estimated from the measured results.
机译：监视火车通道下桥梁的状况或损坏需要一种高精度的模态特征识别方法，该方法可将由车桥动态相互作用（VBI）效应引起的表观波动与其他波动区分开来。本研究提出了一种基于时变自回归模型的新颖方法，该方法使用分层贝叶斯估计方法进行求解。 VBI效应是根据铁路桥梁的位移响应（固有频率和模态阻尼比的时间波动）估算的。外生变量是列车负载，表示为外力。数值实验证明了该方法的准确性高于现有方法。通过将提出的方法应用于各种VBI仿真中，可以弄清列车速度和轨道不规则性对VBI效果的影响。将该方法应用于实测桥梁的共振响应，并成功地证明了列车通过时固有频率的降低和模态阻尼比的提高。另外，使用所提出的方法，通过与从测量结果估计的结果进行比较，验证了由使用VBI模型模拟计算的VBI效应引起的模态特性变化。

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