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A bicoherence-based nonlinearity measurement method for identifying the location of breathing cracks in blades

机译:一种基于双相的非线性测量方法,用于识别刀片中呼吸裂缝的位置

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In the assessment of breathing cracks, it is assumed that both sides of the crack will contact each other along with the vibration, causing the blades to exhibit nonlinear behaviors. Therefore, nonlinear approaches are much more sensitive to the cracks and are also capable of detecting their location and size. Recently, a nonlinearity measure-based damage location method was proposed for the distributed vibration responses of beam-like structures. However, its procedures require collecting the trajectories of the non-destructive status of structures, which introduce substantial difficulties to engineering applications. In this paper, a bicoherence-based nonlinearity measurement method is proposed for identifying the location of breathing cracks in blades. It can evaluate the extent of nonlinearity in the responses of blades under random excitations and avoids using the non-destructive status of structures. The additional nonlinearity in a blade with a breathing crack, based on distributed parameter modeling, is discussed, while the distributed responses on characteristic point were collected to estimate the degree of nonlinearity. A Total Nonlinearity Index (TNLI) was used to establish the damage indicator of the blade, and the crack was identified by finding the maximum components. Validation experiments were conducted to verify the effectiveness of the proposed method, in which a vision measurement system was employed to obtain the distributed vibration responses.
机译:在评估呼吸裂缝中,假设裂缝的两侧将彼此与振动相互接触,导致叶片表现出非线性行为。因此,非线性方法对裂缝更敏感,并且还能够检测其位置和尺寸。最近,提出了一种基于非线性测量的损伤定位方法,用于梁状结构的分布式振动响应。但是,其程序需要收集结构的非破坏性地位的轨迹,这对工程应用引入了大量困难。在本文中,提出了一种基于双相的非线性测量方法,用于识别刀片中呼吸裂缝的位置。它可以在随机激发下评估叶片响应中的非线性的程度,并避免使用结构的非破坏性状态。讨论了基于分布式参数建模的呼吸裂纹的刀片中的附加非线性,同时收集对特征点的分布响应以估计非线性程度。总非线性指数(TNLI)用于建立叶片的损伤指示剂,通过找到最大组分来识别裂缝。进行验证实验以验证所提出的方法的有效性,其中使用视觉测量系统来获得分布式振动反应。

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