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温度应力下钢轨导波频散特性及检测模态选取

Analysis of guided wave dispersion characteristics of rails under temperature stress and selection of detection modes

  • 摘要: 钢轨缺陷超声导波检测是铁路线路维护领域的研究热点,而温度应力的存在会影响超声导波的频散特性从而影响检测效果,获取温度应力作用下的钢轨导波频散特性、选择适合的检测模态有助于提高检测精度。因此,本文建立温度应力作用下钢轨导波传播模型,求解导波频散特性,分析温度应力与群速度的关系,在此基础上探究检测模态选取指标,选择适用于温度应力作用下钢轨检测的导波模态。首先,将温度应力等效为轴向应力,基于半解析有限元法(semi-analytical finite element method, SAFEM)建立温度应力作用下超声导波传播模型,得到温度应力作用下的钢轨导波频散特性。其次,依据频率、轨底振动幅度、振型显著因子和应力敏感度因子构建检测模态选取方法,选取最佳检测模态。最后,分别通过有限元仿真与现场实验进行验证与分析。结果显示:温度应力与钢轨导波群速度具有较好的线性关系,当温度应力变化时各模态群速度发生变化,但幅度不一;轨腰区域最佳检测模态为3号模态,该模态可辨识度强、受温度应力影响小。这些结果提高了超声导波在存在温度应力时检测无缝钢轨缺陷的准确性,具有一定的实际价值。

     

    Abstract: Ultrasonic guided wave inspection of rail defects is a research focus in the field of railway track maintenance, but the presence of temperature stress affects the dispersion characteristics of guided waves, thus impacting the effectiveness of detection, obtaining so the dispersion characteristics of guided waves under temperature stress and selecting appropriate detection modes can contribute to improving detection accuracy. Therefore, this paper establishes a model for the propagation of guided waves in rails under temperature stress, solves for the dispersion characteristics of guided waves, and analyzes the relationship between temperature stress and group velocity. Based on this, criteria for selecting detection modes are investigated to choose guided wave modes suitable for rail inspection under temperature stress. Firstly, temperature stress is equivalently considered as axial stress, and a model for the propagation of ultrasonic guided waves under temperature stress is established using the semi-analytical finite element method (SAFEM). The dispersion characteristics of guided waves in rails under temperature stress are obtained. Secondly, a method for selecting detection modes is constructed based on frequency, rail bottom vibration amplitude, mode significance factor, and stress sensitivity factor to determine the optimal detection mode. Finally, verification and analysis are conducted through finite element simulation and on-site experiments. The results indicate a good linear relationship between temperature stress and rail guided wave group velocity. As temperature stress changes, the group velocities of different modes vary, albeit with different magnitudes. The optimal detection mode in the rail waist region is Mode 3, which exhibits strong discernibility and is less affected by temperature stress. These findings enhance the accuracy of ultrasonic guided wave detection of seamless rail defects under temperature stress and hold practical significance.

     

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