Detection of a piecewise linear crack with one incident wave

Fuente: arXiv
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Main Authors: Xu, Xiaoxu, Ma, Guanqiu, Hu, Guanghui
Format: Preprint
Published: 2024
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author Xu, Xiaoxu
Ma, Guanqiu
Hu, Guanghui
author_facet Xu, Xiaoxu
Ma, Guanqiu
Hu, Guanghui
contents This paper is concerned with inverse crack scattering problems for time-harmonic acoustic waves. We prove that a piecewise linear crack with the sound-soft boundary condition in two dimensions can be uniquely determined by the far-field data corresponding to a single incident plane wave or point source. We propose two non-iterative methods for imaging the location and shape of a crack. The first one is a contrast sampling method, while the second one is a variant of the classical factorization method but only with one incoming wave. Newton's iteration method is then employed for getting a more precise reconstruction result. Numerical examples are presented to show the effectiveness of the proposed hybrid method.
format Preprint
id arxiv_https___arxiv_org_abs_2405_05179
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Detection of a piecewise linear crack with one incident wave
Xu, Xiaoxu
Ma, Guanqiu
Hu, Guanghui
Numerical Analysis
Analysis of PDEs
This paper is concerned with inverse crack scattering problems for time-harmonic acoustic waves. We prove that a piecewise linear crack with the sound-soft boundary condition in two dimensions can be uniquely determined by the far-field data corresponding to a single incident plane wave or point source. We propose two non-iterative methods for imaging the location and shape of a crack. The first one is a contrast sampling method, while the second one is a variant of the classical factorization method but only with one incoming wave. Newton's iteration method is then employed for getting a more precise reconstruction result. Numerical examples are presented to show the effectiveness of the proposed hybrid method.
title Detection of a piecewise linear crack with one incident wave
topic Numerical Analysis
Analysis of PDEs
url https://arxiv.org/abs/2405.05179