基于有阻尼非移动车辆的桥梁频率识别:理论和试验研究

BRIDGE FREQUENCY IDENTIFICATION USING DAMPED NON-MOVING VEHICLE: THEORETICAL AND EXPERIMENTAL STUDY

  • 摘要: 基于车辆响应的桥梁间接测量法(也称车辆扫描法)可用于精准快速地获得桥梁的动态信息和评估桥梁结构的性能。基于现有的车辆扫描法相关研究,该文提出了一种利用移动和非移动车辆识别桥梁频率的理论和方法,并采用室内缩尺试验对所提方法的可行性进行了验证。该文建立了包含移动车辆和非移动车辆的车桥耦合系统理论模型,推导了该耦合系统中桥梁和非移动车辆响应解析解,揭示了非移动车辆用于提取桥梁频率的内在机理;采用数值模型验证了理论公式,并进行了参数敏感性分析;采用室内缩尺模型试验验证了所提方法的可行性。研究结果表明:相较于以往常用的移动车辆,非移动车辆几乎不受路面粗糙度的影响,具有在较高水平环境噪声影响下良好的桥梁频率识别精度。此外,非移动车辆提取桥梁的性能还受到其自身悬架刚度、阻尼和停靠位置的影响。特别地,较大的车辆阻尼能有效消耗车辆频率振动分量,从而提升桥梁频率的识别效果。另外,在采用该文提出的方法进行桥梁频率识别时,应当避免将非移动车辆放置在一些“陷阱”位置,否则可能无法准确识别出某些阶次的桥梁频率。

     

    Abstract: The indirect measurement method based on vehicle responses, also known as vehicle scanning method (VSM), can be employed to accurately and rapidly obtain the dynamic information of bridges and to assess the performance of bridge structures. Drawing upon existing research on VSM, a theoretical framework and methodology for identifying bridge frequencies using both moving and non-moving vehicles are proposed, and their feasibility is validated through indoor scale-model experiments. This study establishes a theoretical model for a vehicle-bridge coupling vibration system comprising both moving and non-moving vehicles. Analytical solutions for the responses of the bridge and non-moving vehicles in this coupling vibration system are derived, revealing the intrinsic mechanism of using non-moving vehicles to extract bridge frequencies. Numerical models are employed to validate the theoretical formulas and to conduct parameter sensitivity analysis. The feasibility of the method proposed is verified through indoor scaled model experiments. The research findings indicate that compared to commonly used moving vehicles, non-moving vehicles are hardly affected by road roughness and demonstrate their superior accuracy in bridge frequency identification even in noisy environments. Moreover, the performance of non-moving vehicles in extracting bridge frequencies is also influenced by their own suspension stiffness, damping, and parking positions. Particularly, higher vehicle damping effectively attenuates vehicle frequency vibration components, thereby enhancing the effectiveness of bridge frequency identification. Furthermore, when employing the method proposed for bridge frequency identification, it is advisable to avoid placing non-moving vehicles in certain “trap” positions, as this may lead to inaccurate identification of certain orders of bridge frequencies.

     

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