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    基于小波时频分析的疲劳损伤定量表征

    Quantitative characterization of fatigue damage based on wavelet time-frequency analysis

    • 摘要: 许多机械部件中的圆管结构长期在交变应力的工况下服役,容易出现疲劳裂纹,最终导致材料失效酿成事故。非线性超声能够表征疲劳裂纹的损伤程度,而表征损伤程度的非线性系数的提取方法尤为重要。提出一种基于小波变换的时频信号处理方法用以提取疲劳裂纹产生的非线性信号并以此计算非线性系数。首先,分析了多种小波基进行小波变换处理后得到的非线性系数间的量化关系;其次,利用仿真得到带有疲劳裂纹的圆管中的非线性超声导波信号,比较各类非线性系数提取方法得到的不同频率分量幅值随时间变化的信息;最后,建立疲劳裂纹损伤程度与各类方法得到的非线性系数间的量化关系。试验结果表明,所提方法得到的非线性系数能够更好地表征疲劳裂纹的损伤程度。

       

      Abstract: In many mechanical components, cylindrical structures are often subjected to alternating stress conditions, making them susceptible to fatigue cracks, ultimately leading to material failure and accidents. Nonlinear ultrasound can characterize the damage degree of fatigue cracks through a nonlinear coefficient, accurately extracting the fundamental frequency and second harmonic from the signal is crucial. This paper proposed a time-frequency signal processing method based on wavelet transform to extract the fundamental frequency and second harmonic signals. Firstly, the quantitative relationship between the nonlinear coefficients obtained by wavelet transform processing on various wavelet bases and the degree of fatigue crack damage was analyzed. Secondly, the simulation was used to obtain the nonlinear ultrasonic guided wave signal in the circular tube with fatigue cracks, and the nonlinear coefficients calculated by other time-frequency analysis methods were compared. Finally, a quantitative relationship between the fatigue crack damage degree and the nonlinear coefficients obtained by various methods was established, proving that the nonlinear coefficients calculated by the proposed method can better characterize the fatigue crack damage degree.

       

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