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A domain derivative-based method for solving elastodynamic inverse obstacle scattering problems

机译:基于域导数的弹性动力学反障碍物散射问题求解方法

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The present work is concerned with the shape reconstruction problem of isotropic elastic inclusions from far-field data obtained by the scattering of a finite number of time-harmonic incident plane waves. This paper aims at completing the theoretical framework which is necessary for the application of geometric optimization tools to the inverse transmission problem in elasto-dynamics. The forward problem is reduced to systems of boundary integral equations following the direct and indirect methods initially developed for solving acoustic transmission problems. We establish the Frechet differentiability of the boundary to far-field operator and give a characterization of the first Frechet derivative and its adjoint operator. Using these results we propose an inverse scattering algorithm based on the iteratively regularized Gau beta-Newton method and show numerical experiments in the special case of starshaped obstacles.
机译:目前的工作涉及从通过有限次数的时谐入射平面波的散射获得的远场数据获得的各向同性弹性夹杂物的形状重构问题。本文旨在完善理论框架,这对于将几何优化工具应用于弹性动力学的逆传递问题是必不可少的。按照最初为解决声传输问题而开发的直接和间接方法,将正向问题简化为边界积分方程组。我们建立了边界对远场算子的弗雷歇特微分性,并给出了第一弗雷谢特导数及其伴随算子的特征。利用这些结果,我们提出了一种基于迭代正则化Gau beta-Newton方法的逆散射算法,并在星状障碍物的特殊情况下进行了数值实验。

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