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Wavelet-based damage detection method for a beam-type structure carrying moving mass

机译:基于小波的运动质量梁式结构损伤检测方法

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摘要

In this research, the wavelet transform is used to analyze time response of a cracked beam carrying moving mass for damage detection. In this respect, a new damage detection method based on the combined use of continuous and discrete wavelet transforms is proposed. It is shown that this method is more capable in making damage signature evident than the traditional two approaches based on direct investigation of the wavelet coefficients of structural response. By the proposed method, it is concluded that strain data outperforms displacement data at the same point in revealing damage signature. In addition, influence of moving mass-induced terms such as gravitational, Coriolis, centrifuge forces, and pure inertia force along the deflection direction to damage detection is investigated on a sample case. From this analysis it is concluded that centrifuge force has the most influence on making both displacement and strain data damage-sensitive. The Coriolis effect is the second to improve the damage-sensitivity of data. However, its impact is considerably less than the former. The rest, on the other hand, are observed to be insufficient alone.
机译:在这项研究中,小波变换用于分析带有移动质量的裂纹光束的时间响应,以进行损伤检测。在这方面,提出了一种基于连续和离散小波变换相结合的损伤检测新方法。结果表明,与直接基于结构响应的小波系数研究的传统两种方法相比,该方法能够使损伤特征更明显。通过所提出的方法,可以得出结论,在揭示损伤特征的同一点,应变数据优于位移数据。此外,还研究了在样本情况下,沿偏转方向移动的质量感应项(如重力,科里奥利,离心力和纯惯性力)对损伤检测的影响。从该分析得出的结论是,离心力对使位移和应变数据损伤敏感都具有最大的影响。科里奥利效应是第二次提高数据的损伤敏感性。但是,其影响远小于前者。另一方面,观察到其余的单独不足。

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