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Local damage detection of a fan blade under ambient excitation by three-dimensional digital image correlation

机译:通过三维数字图像相关性在环境激励下局部损伤检测风扇叶片

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摘要

Damage detection based on dynamic characteristics of a structure is one of important roles in structural damage identification. It is difficult to detect local structural damage using traditional dynamic experimental methods due to a limited number of sensors used in an experiment. In this work, a non-contact test stand of fan blades is established, and a full-field noncontact test method, combined with three-dimensional digital image correlation, Bayesian operational modal analysis, and damage indices, is used to detect local damage of a fan blade under ambient excitation without use of baseline information before structural damage. The methodology is applied to detect invisible local damage on the fan blade. Such a method has a seemingly high potential as an alternative to detect local damage of blades with complex high-precision surfaces under extreme working conditions because it is a noncontact test method and can be used under ambient excitation without human participation.
机译:基于结构的动态特征的损伤检测是结构损伤识别中的重要作用之一。由于实验中使用的有限传感器,难以使用传统的动态实验方法检测局部结构损坏。在这项工作中,建立了风扇叶片的非接触式测试支架,以及全场非接触式测试方法,与三维数字图像相关,贝叶斯操作模态分析和损坏指数相结合,用于检测局部损坏在环境励磁下的风扇刀片不使用结构损坏之前的基线信息。该方法应用于检测风扇刀片上的看不见的局部损坏。这种方法具有看似高的潜力,作为在极端工作条件下用复杂的高精度表面检测叶片的局部损坏的替代方案,因为它是非接触式测试方法,并且可以在没有人类参与的环境激发下使用。

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