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首页> 外文期刊>Shock and vibration >Extraction of Least-Dispersive Ultrasonic Guided Wave Mode in Rail Track Based on Floquet-Bloch Theory
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Extraction of Least-Dispersive Ultrasonic Guided Wave Mode in Rail Track Based on Floquet-Bloch Theory

机译:基于FLOQUET-BLOCH理论的轨道轨道中最少分散超声波导波模式的提取

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Ultrasonic guided wave (UGW) has shown great potential in the field of structural health monitoring of rail tracks due to its long-range capability and full cross section coverage. However, the practical application of UGW has been hindered by the complicated signal interpretation because of the natures of multiple modes and dispersion. Therefore, it is desirable that the effective UGW modes with high excitability and least dispersion can be identified and extracted for practical applications. In this paper, a numerical study on the guided wave propagation was carried out on a standard rail with 56E1 profile. Firstly, Floquet-Bloch theory was applied to obtain the dispersion curves of guided wave in a rail. Then, a 3D FE model was built to investigate the UGW propagation along the rail within the frequency range of 0–120?kHz. Wavenumber-frequency analysis method was applied to decompose and identify the propagating UGW modes. With a carefully designed 2D bandpass filter, a specific mode W0 was extracted in the wavenumber-frequency domain. Finally, a frequency band sweep technique was also proposed to get the optimal frequency band to achieve a pure and least-dispersive UGW mode along the rail web. The proposed method provides an effective way to extract efficient UGW modes to assess the integrity of the rail track, as well as other waveguides with complex geometry.
机译:超声波引导波(UGW)由于其远程能力和全横截面覆盖而在轨道轨道的结构健康监测领域显示出巨大潜力。然而,由于多种模式和色散的性质,UGW的实际应用已经受到复杂的信号解释。因此,可以识别并提取具有高兴奋性和最小分散性的有效UGW模式并提取实际应用。在本文中,在具有56E1轮廓的标准轨道上进行了对引导波传播的数值研究。首先,应用浮子 - 波纹理论,以获得轨道中引导波的分散曲线。然后,建立了3D FE模型来研究沿轨道内的UGW传播在0-120的频率范围内.KHz。施加波数频率分析方法以分解和识别传播的UGW模式。使用精心设计的2D带通滤波器,在波数频域中提取特定模式W0。最后,还提出了一种频带扫描技术来获得最佳频带,以沿着轨道网实现纯粹和最小分散的UGW模式。所提出的方法提供了提取有效的UGW模式以评估轨道轨道的完整性,以及具有复杂几何形状的其他波导。

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