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Simulation and Analysis with Wavelet Transform Technique and the Vibration Characteristics for Early Revealing of Cracks in Structures

机译:利用小波变换技术模拟分析及结构裂纹早期揭示的振动特性

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摘要

Implementation of improved instruments is used to detect damage in an accurate manner and fully analyze its characteristics. An aluminum beam has been used in this work to identify cracks by using a vibration technique. The simulation of frequency response feature was conducted using a finite element model to provide average measures of intensities of vibration. Two forms of wavelet packet transform (WPT) entropies Shannon and log energy were applied to identify the position, width, and size of the crack. The results showed that with an increase in crack depth, the amplitude also increased at certain crack sizes and for all crack positions. For two crack depths of 1.6 mm and 0.16 mm having the same crack size and position 12 mm and 60 mm, respectively, a 4.5 increase in amplitude was observed at a crack depth of 1.6 mm. Moreover, the amplitude varied inversely with the position. A 12.6 increase in amplitude was observed at a crack depth of 1.6 mm rather than 0.16 mm, while both depths occurred at the same crack position (75 mm) and size (20 mm). Experimental validation was performed on a cantilever beam with one crack. The maximum absolute error found was 7.5 for the crack position and 9.1 for the crack size. With the increase in crack depth, the obtained results decrease the stiffness of a beam in a single crack case.
机译:改进仪器的实施用于准确检测损坏并充分分析其特性。在这项工作中,铝梁被用于通过使用振动技术来识别裂纹。使用有限元模型对频率响应特征进行仿真,以提供振动强度的平均测量值。应用Shannon和对数能量两种形式的小波包变换(WPT)熵来识别裂纹的位置、宽度和大小。结果表明:随着裂纹深度的增加,在一定裂纹尺寸和所有裂纹位置,振幅也有所增加。对于裂纹尺寸和位置分别为12 mm和60 mm的两个裂纹深度为1.6 mm和0.16 mm,在裂纹深度为1.6 mm时,振幅增加了4.5%。此外,振幅随位置变化成反比。在裂纹深度为1.6 mm而不是0.16 mm时,振幅增加了12.6%,而两个深度发生在相同的裂纹位置(75 mm)和尺寸(20 mm)上。在具有一条裂纹的悬臂梁上进行了实验验证。裂纹位置的最大绝对误差为7.5%,裂纹尺寸的最大绝对误差为9.1%。随着裂纹深度的增加,所得结果降低了单个裂纹工况中梁的刚度。

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