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Localization of Fatigue Cracks Using Low-Frequency Nonlinear Lamb Waves in Numerical Perspective

机译:数值非线性中低频低频兰姆波对疲劳裂纹的定位

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In this work, a probabilistic imaging algorithm based on ellipse method was carried out to locate a fatigue crack using nonlinear S0 mode Lamb waves, which was modeled by Three-dimensional (3D) Finite Element (FE) Simulation. A fatigue crack was modeled as a through-thickness seam, and Short-time Fourier transform (STFT) was performed on the time-domain signals from FE model to extract temporal features. A damage index (DI) was built using a probabilistic imaging algorithm (PIA) after forming an ellipse-like locus. The ultimate image result showed that the location of the fatigue crack was identified and distinguished from the hole. In a conclusion, the proposed imaging algorithm would be a feasible and effective approach to locate fatigue crack by nonlinear S0 mode Lamb waves.
机译:在这项工作中,基于三维方法(3D)有限元(FE)模拟,基于椭圆方法的概率成像算法进行了使用非线性S0模式兰姆波定位疲劳裂纹的算法。将疲劳裂纹建模为整个厚度的接缝,并对来自FE模型的时域信号执行短时傅立叶变换(STFT),以提取时间特征。在形成椭圆形轨迹之后,使用概率成像算法(PIA)建立损伤指数(DI)。最终的图像结果表明,疲劳裂纹的位置已被识别并与孔区别开了。综上所述,所提出的成像算法将是一种可行的,有效的非线性S0型Lamb波定位疲劳裂纹的方法。

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