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OPERATIONAL MODAL ANALYSIS AND DAMAGE IDENTIFICATION OF STRUCTURES UNDERGOING RANDOM VIBRATION USING A CONTINUOUSLY SCANNING LASER DOPPLER VIBROMETER SYSTEM

机译:使用连续扫描激光多普勒振动器系统进行随机振动结构的操作模态分析与损伤识别

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A continuously scanning laser Doppler vibrometer (CSLDV) system is capable of efficient and spatially dense vibration measurements by sweeping its laser spot along a scan path assigned on a structure. This paper proposes a new operational modal analysis (OMA) method based on a data processing method for CSLDV measurements of a structure, called the lifting method, under white-noise excitation and applies a baseline-free method to identify structural damage using estimated mode shapes from the OMA method. The lifting method enables transformation of raw CSLDV measurements into measurements at individual virtual measurement points, as if the latter were made by use of an ordinary scanning laser Doppler vibrometer in a step-wise manner. It is shown that a correlation function with non-negative time delays between lifted CSLDV measurements of two virtual measurement points on a structure under white-noise excitation and its power spectrum contain modal parameters of the structure, i.e., natural frequencies, modal damping ratios and mode shapes. The modal parameters can be estimated by using a standard OMA algorithm. A major advantage of the proposed OMA method is that curvature mode shapes associated with mode shapes estimated by the method can reflect local anomaly caused by small-sized structural damage, while those estimated by other existing OMA methods that use CSLDV measurements cannot. Numerical and experimental investigations are conducted to study the OMA method and baseline-free structural damage identification method. In the experimental investigation, effects of the scan frequency of a CSLDV system on the two methods were studied. It is shown in both the numerical and experimental investigations that modal parameters can be accurately estimated by the OMA method and structural damage can be successfully identified in neighborhoods with consistently high values of curvature damage indices.
机译:连续扫描的激光多普勒振动计(CSLDV)系统能够通过沿着结构上分配的扫描路径扫描其激光点,能够高效和空间密集的振动测量。本文提出了一种基于用于CSLDV测量的数据处理方法的新的操作模态分析(OMA)方法,称为提升方法,在白噪声激励下,应用基线的方法来使用估计的模式形状来识别结构损坏从OMA方法。提升方法使得原始CSLDV测量的转换为单个虚拟测量点的测量,仿佛通过使用普通扫描激光多普勒振动计以逐步的方式进行。结果表明,在白色噪声激励下的结构上的两个虚拟测量点的提升CSLDV测量值之间的相关函数,其功率谱值包含结构的模态参数,即天然频率,模态阻尼比和模式形状。可以使用标准OMA算法估计模态参数。所提出的OMA方法的一个主要优点是,由该方法估计的模式形状相关的曲率模式形状可以反映由小型结构损伤引起的局部异常,而通过使用CSLDV测量的其他现有OMA方法估计的那些。进行了数值和实验研究,研究了OMA方法和基线结构损伤识别方法。在实验研究中,研究了CSLDV系统对两种方法的扫描频率的影响。在数值和实验研究中示出了可以通过OMA方法可以准确地估计模态参数,并且可以在邻域中成功地识别结构损坏,曲率损伤指数的一致高值。

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