4.5 Article

Dynamic Performance Analysis of a High-Speed Railway Bridge Under Train Actions Using Operational Modal Parameters

出版社

WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0219455421400071

关键词

Health monitoring; modal parameters; train-bridge interaction; weak mode; variational mode decomposition

资金

  1. National Natural Science Foundation of China [52050050, 51978128, 51778105]
  2. LiaoNing Revitalization Talents Program [XLYC1802035]

向作者/读者索取更多资源

For high-speed railway bridges in operation, it is crucial to study the coupling dynamic performance of train-bridge systems to avoid extreme vibrations that impact bridge safety. Research shows that the vibration of bridges during train passage is closely related to factors such as train speed, heavy axle loads, and span length.
For high-speed railway bridges in operation, it is necessary to reveal the coupling dynamic performance of train-bridge systems in order to avoid extreme vibrations, which are not conducive to bridge safety. With the opening of long-span heavy-haul and complex-type bridges to traffic, the train-bridge interaction can hardly be explained by a mature and unified theory. Notably, field testing and monitoring analysis have become popular in tracking the dynamic performance of train-bridge systems. The vibration of railway bridges depends on the train-track configuration and the inherent characteristics of bridges. The inherent characteristics of bridges, which are reflected by the modal parameters, are extracted via operational modal analysis in this paper. In addition, the modal characteristics of bridges while the train is passing through are also investigated to explain the coupling dynamic effect with the help of the train configuration. Considering that the measured vibration responses are seriously polluted by non-white noise or excitation, the variational mode decomposition (VMD) technique is developed to extract the state-driven vibrations for modal analysis. Since VMD is a univariate technique that hardly ensures that the weak component can be obtained from each measuring channel, the multi-channel variational mode decomposition (MVDM) technique is extended in this paper. The field monitoring data of a high-speed railway bridge are taken for modal identification and vibration analysis. The results show that the weak structural modes can be tracked, even though the forced vibrations due to the passage of regularly spaced axles are dominant. In addition, the dynamic effects in train-induced vertical vibrations of bridges are closely related to the train speed, heavy axle loads and the span length.

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