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Crack detection in simply supported beams without baseline modal parameters by stationary wavelet transform

机译:平稳小波变换检测无基线模态参数的简支梁裂缝

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There are significant changes in the vibration responses of cracked structures when the crack depth is significant in comparison to the depth of the structure. This fact enables the identification of cracks in structures from their vibration response data. However when the crack is relatively small, it is difficult to identify the presence of the crack by a mere observation of the vibration response data. A new approach for crack detection in beam-like structures is presented and applied to cracked simply supported beams in this paper. The approach is based on finding the difference between two sets of detail coefficients obtained by the use of the stationary wavelet transform (SWT) of two sets of mode shape data of the beam-like structure. These two sets of mode shape data, which constitute two new signal series, are obtained and reconstructed from the modal displacement data of a cracked simply supported beam. They represent the left half and the modified right half of the modal data of the simply supported beam. SWT is a redundant transform that doubles the number of input samples at each iteration. It provides a more accurate estimate of the variances at each scale and facilitates the identification of salient features in a signal, especially for recognising noise or signal rupture. It is well known that the mode shape of a beam containing a small crack is apparently a single smooth curve like that of an uncracked beam. However, the mode shape of the cracked beam actually exhibits a local peak or discontinuity in the region of damage. Therefore, the mode shape 'signal' of a cracked beam can be approximately considered as that of the uncracked beam contaminated by 'noise', which consists of response noise and the additional response due to the crack. Thus, the modal data can be decomposed by SWT into a smooth curve, called the approximation coefficient, and a detail coefficient. The difference of the detail coefficients of the two new signal series includes crack information that is useful for damage detection. The modal responses of the damaged simply supported beams used are computed using the finite element method. For real cases, mode shape data are affected by experimental noise. Therefore, mode shape data with a normally distributed random noise are also studied. The results show that the proposed method has great potential in crack detection of beam-like structures as it does not require the modal parameters of an uncracked beam as a baseline for crack detection. The effects of crack size, depth and location, and the effects of sampling interval are examined.
机译:当裂纹深度比结构深度大时,裂纹结构的振动响应会发生显着变化。这一事实使得能够根据其振动响应数据来识别结构中的裂缝。然而,当裂纹相对较小时,仅通过观察振动响应数据就难以识别裂纹的存在。提出了一种用于梁状结构裂缝检测的新方法,并将其应用于已开裂的简支梁。该方法是基于找到通过使用束状结构的两组模式形状数据的固定小波变换(SWT)获得的两组详细系数之间的差异。从开裂的简支梁的模态位移数据中获得并重建了这两组模式形状数据,它们构成了两个新的信号序列。它们代表简单支撑梁的模态数据的左半部分和修改后的右半部分。 SWT是一种冗余变换,可使每次迭代的输入样本数量加倍。它可以更准确地估计每个刻度上的方差,并有助于识别信号中的显着特征,特别是对于识别噪声或信号破裂。众所周知,包含小裂纹的光束的众数形状显然是单一的平滑曲线,就像未破裂的光束一样。但是,破裂光束的振型实际上在损伤区域表现出局部峰值或不连续性。因此,裂纹光束的模态信号可以近似地视为被“噪声”污染的未裂纹光束的模态信号,它由响应噪声和裂纹引起的附加响应组成。因此,模态数据可以通过SWT分解为平滑曲线,称为近似系数和细节系数。两个新信号序列的细节系数的差异包括裂纹信息,可用于损坏检测。使用有限元方法计算所使用的受损简支梁的模态响应。对于实际情况,模式形状数据会受到实验噪声的影响。因此,还研究了具有正态分布随机噪声的模式形状数据。结果表明,该方法不需要梁的模态参数作为裂纹检测的基准,因此在梁状结构的裂纹检测中具有很大的潜力。研究了裂纹尺寸,深度和位置的影响以及采样间隔的影响。

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