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Damage detection and characterization by processing laser vibrometer measurement results: a

机译:通过处理激光测振仪测量结果进行损伤检测和表征:

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Abstract: In recent years damage detection techniques based on vibration data have been largely investigated with promising results for many applications. In particular, several attempts have been done to determine which kind of data must be extracted for damage monitoring. In this work scanning laser doppler vibrometry (SLDV) has been sued to detect, localize and characterize delaminations in composite materials. In order to improve understanding of the analyzed phenomena and to design efficient post-processing algorithms for experimental SLDV data, a theoretical lumped model has been developed by the authors. The model describes the dynamic behavior of the structure in the delamination zone. Following the model result, an experimental investigation by SLDV has been performed on panels with known detachments. Results have been compared with those achieved by thermal tomography, which at present is one of the most used techniques for monitoring the state of composite materials. The presented methodology has proved to be efficient also to determine the delamination deepness. !15
机译:摘要:近年来,已经广泛研究了基于振动数据的损伤检测技术,并在许多应用中取得了可喜的结果。特别是,已经进行了几次尝试来确定必须提取哪种数据以进行损坏监视。在这项工作中,已经使用扫描激光多普勒振动法(SLDV)来检测,定位和表征复合材料中的分层。为了增进对所分析现象的理解并为实验SLDV数据设计有效的后处理算法,作者开发了一个理论上的集总模型。该模型描述了分层区域中结构的动态行为。根据模型结果,SLDV已对具有已知分离度的面板进行了实验研究。将结果与通过热层析成像获得的结果进行了比较,热层析成像是目前用于监视复合材料状态的最常用技术之一。已经证明,所提出的方法对于确定分层深度也是有效的。 !15

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