非线性超声导波钢轨裂纹检测模态选取研究
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TB553 TH878

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国能朔黄铁路技术开发项目(GJNY-21-65)、国家自然基金(52272429)项目资助


Research on mode selection for nonlinear ultrasonic guided waves rail crack detection
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    摘要:

    不同模态对不同位置裂纹的敏感程度不同,针对裂纹检测时模态选取不准的问题,研究 50 kHz 激励下可累积二次谐波 模态对、模态振型和裂纹位置的影响,提出了由 3 个指标评定的最优裂纹敏感模态选取方法( selection of optimal crack-sensitive mode, SOCSM),通过相对非线性系数 β 随裂纹生长的变化趋势评价模态对裂纹的敏感度。 为准确激励出所需模态提出了最优 模态激励算法(optimal mode excitation, OME),为验证 SOCSM 法和 OME 法的有效性和准确性,以 CHN60 钢轨轨腰处裂纹为例 进行了数值仿真分析以及实验验证。 结果表明,采用 OME 法能准确激励出模态组合 11 和模态组合 1;50 kHz 激励下模态组 合 11 的 β 随裂纹生长单调增加,而模态组合 1 几乎没有变化,说明模态组合 11 更适合检测轨腰处的裂纹,对裂纹的微小变化 非常敏感,两个模态组合均能产生可累积二次谐波,裂纹的存在会影响导波传播,即影响信号的幅值大小。

    Abstract:

    The sensitivity of different modes to cracks at different locations are different. In response to the problem of inaccurate mode selection when detecting cracks, the selection of optimal crack-sensitive mode ( SOCSM) method evaluated by three indicators is proposed, which considers the effects of cumulative second harmonic modes combination, mode vibration pattern and crack location under 50 kHz excitation. The sensitivity of modes to cracks is evaluated by the trend of relative nonlinear coefficients with crack growth. The optimal mode excitation (OME) algorithm is proposed to accurately excite the required modes. To evaluate the effectiveness and accuracy of the SOCSM and OME methods, numerical simulation analysis and experimental verification are conducted by using the crack at the waist of the CHN60 rail as an example. The results show that the OME method can accurately excite mode combination 11 and mode combination 1. Under 50 kHz excitation, the mode combination 11 β monotonically increases with crack growth, while mode combination 1 β has almost no change. The mode combination 11 β is more suitable for detecting cracks at the rail waist and is very sensitive to small changes in cracks. Both modal combinations can generate cumulative second harmonic. The presence of cracks can affect the propagation of guided waves, which affects the amplitude of the signal.

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杨文林,史红梅,牛笑川,许西宁,朱力强.非线性超声导波钢轨裂纹检测模态选取研究[J].仪器仪表学报,2023,44(8):141-154

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  • 在线发布日期: 2023-12-19
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