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Time domain linear sampling method for qualitative identification of buried cavities from elastodynamic over-determined boundary data

机译:时空线性采样方法从弹塑性超定边界数据定性识别埋藏空腔

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摘要

A time domain version of linear sampling method (LSM) is developed for elastic wave imaging of media including scatterers with arbitrary geometries. The LSM is an effective approach to image the geometrical features of unknown targets from multi-view data collected from measurement of casual waves. This study emphasizes the exploitation of the LSM using spectral finite element method (SFEM). A comprehensive set of numerical simulations on two-dimensional elastodynamic problems is presented to highlight many efficient features of the proposed fast qualitative LSM identification method such as its ability to locate an inclusion (e.g., a crack) and estimate its dimensions. (C) 2015 Elsevier Ltd. All rights reserved.
机译:开发了时域版本的线性采样方法(LSM),用于介质的弹性波成像,包括具有任意几何形状的散射体。 LSM是一种有效的方法,可以根据从散波测量中收集的多视图数据来成像未知目标的几何特征。这项研究强调使用频谱有限元方法(SFEM)对LSM进行开发。提出了一套针对二维弹性动力学问题的综合数值模拟,以突出提出的快速定性LSM识别方法的许多有效功能,例如其定位夹杂物(例如裂纹)和估计其尺寸的能力。 (C)2015 Elsevier Ltd.保留所有权利。

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