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Inversion methods for the detection and localization of inclusions in structures utilizing dynamic surface displacements

机译:利用动态表面位移检测和定位结构中夹杂物的反演方法

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In this paper, we investigate the feasibility of both detecting and localizing inclusions in structures given a knowledge of dynamic surface displacements. Provided with such displacement information, the equations of motion are utilized to estimate local material parameters through inversion, as well as to indicate the locations of inclusions using a novel generalized force mapping technique. Using a finite element code, numerical simulations were carried out for the determination of the normal surface displacements for both steel and mortar rectangular plates subject to monochromatic point actuation. The data is generated for both homogeneous plates and inhomogeneous plates within which a small rectangular inclusion of differing material parameters is present, and three algorithms are applied to the calculated displacement data. The first two are local inversion techniques which provide a spatial map of the elastic modulus normalized by density, while the third technique utilizes the inhomogeneous form of the equations of motion to obtain an induced force distribution caused by the inclusion. It will be demonstrated that the algorithms can both detect and locate inclusions in structures even when the material parameter difference of the inclusions and the background medium is relatively low.
机译:在本文中,鉴于动态表面位移的知识,我们将研究在结构中检测和定位夹杂物的可行性。有了这种位移信息,运动方程就可以通过反演来估算局部材料参数,并使用一种新颖的广义力映射技术来指示夹杂物的位置。使用有限元代码,进行了数值模拟,以确定受单色点驱动的矩形钢和砂浆矩形板的法向表面位移。均质板和非均质板均生成数据,其中存在不同材料参数的小矩形包含物,并将三种算法应用于计算出的位移数据。前两种是局部反演技术,它们提供了通过密度归一化的弹性模量的空间图,而第三种技术则利用运动方程的不均匀形式来获得由夹杂物引起的感应力分布。将证明,即使夹杂物和背景介质的材料参数差异相对较小,该算法也可以检测和定位结构中的夹杂物。

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