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Quantitative structural health monitoring using acoustic emission

机译:使用声发射的定量结构健康监测

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Acoustic emission (AE) testing is potentially a highly suitable technique for structural health monitoring (SHM) applications due to its ability to achieve high sensitivity from a sparse array of sensors. For AE to be deployed as part of an SHM system it is essential that its capability is understood. This is the motivation for developing a forward model, referred to as QAE-Forward, of the complete AE process in real structures which is described in the first part of this paper. QAE-Forward is based around a modular and expandable architecture of frequency domain transfer functions to describe various aspects of the AE process, such as AE signal generation, wave propagation and signal detection. The intention is to build additional functionality into QAE-Forward as further data becomes available, whether this is through new analytic tools, numerical models or experimental measurements. QAE-Forward currently contains functions that implement (1) the excitation of multimodal guided waves by arbitrarily orientated point sources, (2) multi-modal wave propagation through generally anisotropic multi-layered media, and (3) the detection of waves by circular transducers of finite size. Results from the current implementation of QAE-Forward are compared to experimental data obtained from Hsu-Neilson tests on aluminum plate and good agreement is obtained. The paper then describes an experimental technique and a finite element modeling technique to obtain quantitative AE data from fatigue crack growth that will feed into QAE-Forward.
机译:声发射(AE)测试可能是结构健康监测(SHM)应用的高度合适的技术,这是由于其能够从稀疏传感器阵列实现高灵敏度的能力。对于AE作为SHM系统的一部分进行部署,必须了解其能力。这是开发前向模型的动机,其称为QAE-FORNAGE,其在本文的第一部分中描述的实际结构中的完整AE过程。 QAE-前进基于频域传输函数的模块化和可扩展架构,以描述AE过程的各个方面,例如AE信号产生,波传播和信号检测。由于进一步的数据可用,这是通过新的分析工具,数值模型或实验测量,建立进入QAE-FORNION的额外功能。这是通过新的分析工具,数值模型或实验测量。 QAE-前进目前包含通过任意定向点源(2)通过大致各向异性多层介质的多模态波传播,通过大致各向异性多层介质来激发多模导波的激励,(3)通过圆形换能器检测波的检测有限尺寸。将QAE-前进实施的结果与从铝板上的Hsu-neilson测试获得的实验数据进行比较,并且获得了良好的协议。然后,该文件描述了一种实验技术和有限元建模技术,以获得从将进入QAE-Forwan的疲劳裂纹生长的定量AE数据。

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