首页> 外文会议>International Symposium on NDT in Aerospace >PZT ARRAY FOR PASSIVE GUIDED WAVE TOMOGRAPHY OF EXTENDED DEFECTS USING AMBIENT ELASTIC NOISE CROSS-CORRELATIONS
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PZT ARRAY FOR PASSIVE GUIDED WAVE TOMOGRAPHY OF EXTENDED DEFECTS USING AMBIENT ELASTIC NOISE CROSS-CORRELATIONS

机译:使用环境弹性噪声交叉相关的延长缺陷的被动导波断层扫描的PZT阵列

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Structural health monitoring (SHM) consists in embedding sensors in a structure like an aircraft or a naval ship in order to detect defects (for example cracks or corrosion in metallic materials or delamination in composite materials) before a serious fault occurs in the structure. Guided elastic waves emitted by a sensor and propagating to another one are often used as the physical way of detecting the defect. However, the implementation of SHM systems is restricted in many situations by the necessity to store or to harvest the electric energy necessary to emit the waves. A promising way to tackle this constraint is to use techniques based on the cross-correlations of the ambient acoustic noise in place in the structure. It has been shown that, under certain conditions, transient response between two sensors can be estimated from cross-correlation of ambient noise, with purely passive measurements. The idea is to take advantage of the elastic noise naturally present in the structure (due to engine vibrations or aero-acoustic turbulences on the fuselage of an aircraft for example) in order to avoid the emission of the elastic waves by the SHM system. The complexity of the embedded SHM system is therefore reduced. We present here studies of noise cross-correlation techniques that have been conducted with the aim of doing passive tomography of extended defects (such as corrosion or delamination) using an array of piezoelectric (PZT) transducers. Noise is generated by spraying compressed air on the surface of an aluminum plate. Passive measurements are compared to active signals to demonstrate the convergence of the cross-correlation technique to the Green function of the system. Experimental results which come from tomographic time-of-flight imaging algorithms will also be described. Finally, an extension of this technique using purely passive guided wave sensors such as Fiber Bragg Grating (FBG) will be presented.
机译:结构健康监测(SHM)包括在结构中嵌入像飞机或海军等的结构中的传感器,以便在结构中发生严重故障之前检测缺陷(例如,在复合材料中的金属材料或分层中的腐蚀)。传感器发出并传播到另一个传感器的引导弹性波通常用作检测缺陷的物理方式。然而,SHM系统的实施受到许多情况下的必要性,以储存或收获发射波浪所需的电能。这种约束的有希望的方法是使用基于结构中的环境声噪声的互相关的技术。已经表明,在某些条件下,可以从环境噪声与纯无源测量的互相关的互相关之间估计两个传感器之间的瞬态响应。该想法是利用结构中自然存在的弹性噪声(由于例如飞机的机身上的发动机振动或航空声湍流),以避免SHM系统的弹性波的发射。因此减少了嵌入式SHM系统的复杂性。我们在这里展示了通过使用压电(PZT)换能器阵列进行延长缺陷(例如腐蚀或分层)的被动断层扫描的噪声互联技术的研究。通过在铝板的表面上喷射压缩空气来产生噪音。将被动测量与主动信号进行比较,以展示互相关技术的收敛到系统的绿色功能。还将描述来自飞行飞行时间成像算法的实验结果。最后,将呈现使用诸如光纤布拉格光栅(FBG)之类的纯无源引导波传感器的这种技术的扩展。

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