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Computation of the eddy-current modes of three-dimensional conducting bodies

机译:三维导电体涡流模式的计算

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Low-frequency electromagnetic induction (EMI) sensors are commonly used in subsurface detection applications because of their efficacy at detecting even small fragments of metal when they are buried near the surface. This efficacy can become a shortcoming when the detector is expected to locate specific classes of targets that are buried among metallic clutter. For these applications, broadband EMI sensors have shown considerable promise at being able to detect, classify and locate targets such as land mines, and discriminate between them and the clutter with low false-alarm rates. In such cases, where differentiating targets from clutter is a significant obstacle, detection strategies based on the discrete spectrum of relaxation frequencies (DSRF) have been shown to be highly effective. For such purposes, a dictionary of DSRF of targets of interest must be computed a priori. Several classes of targets such as sphere and rings have DSRF that can be derived analytically, however, in general, the DSRF must be computed numerically. Previously, numerical strategies have been presented for thin conducting shells and rotationaly symmetric targets. In this paper, we will present a strategy to compute the DSRF of arbitrary conducting targets using a null space free Jacobi Davidson iteration (NFJD).
机译:低频电磁感应(EMI)传感器通常被用于地下探测应用,因为当它们埋在地表附近时,它们甚至可以探测很小的金属碎片。当期望检测器定位掩埋在金属杂波中的特定类别的目标时,此功效可能会成为缺点。对于这些应用,宽带EMI传感器在检测,分类和定位诸如地雷等目标以及在误报率低的情况下与杂波之间进行区分方面已显示出巨大的希望。在这种情况下,将目标与混乱区分开是一个重大障碍,基于离散频率的弛豫频率(DSRF)的检测策略已被证明是非常有效的。为此,必须先计算感兴趣目标的DSRF字典。几类目标(例如球体和环)具有可以通过分析得出的DSRF,但是,通常,必须对DSRF进行数值计算。以前,已经提出了用于薄导电壳和旋转对称目标的数值策略。在本文中,我们将提出一种使用无空空间的Jacobi Davidson迭代(NFJD)计算任意导电目标的DSRF的策略。

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