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Research on single frequency component based MUSIC algorithm for impact localization

机译:基于单频分量的MUSIC冲击定位算法研究

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Composite materials have been widely used in many aircraft structures due to their high specific strength, light weight, resistance to fatigue and flexibility in design. The susceptibility of composite materials to incur impact damage is well known and creates a major concern related to structural integrity. Since the MUSIC algorithm could successfully detect the source signal under low signal-to-noise ratio without transfer functions and material properties, it has been applied to the structural health monitoring area gradually. However, the impact induced Lamb waves exhibit a wide band performance, which gives rise to the difficulty of obtaining the phase velocity directly. This paper first analyzes the influence of the phase velocity precision to the accuracy of the MUSIC based impact localization method. In order to deal with the phase velocity obtaining problem, the Shannon wavelet is used to extract single frequency components from the impact induced Lamb waves. Based on the obtained phase velocity, the precision of MUSIC algorithm for impact localization is improved. This method is verified on the stiffened structure of an UAV wing box. Experimental results show that the method could realize impact localization on stiffened aircraft structures and has a relatively small error.
机译:复合材料因其高比强度,轻质,耐疲劳性和设计灵活性而被广泛用于许多飞机结构中。复合材料易受冲击破坏的敏感性是众所周知的,并引起与结构完整性有关的主要问题。由于MUSIC算法能够在低信噪比下成功检测到源信号,而没有传递函数和材料特性,因此已逐渐应用于结构健康监测领域。然而,冲击引起的兰姆波表现出宽带性能,这导致直接获得相速度的困难。本文首先分析了相速度精度对基于MUSIC的冲击定位方法精度的影响。为了解决相速度获得问题,香农小波被用于从冲击感应兰姆波中提取单频分量。基于所获得的相速度,提高了MUSIC算法进行冲击定位的精度。该方法在无人机机翼盒的加强结构上得到了验证。实验结果表明,该方法可以实现对刚性飞机结构的冲击定位,误差较小。

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