Identification of an Arbitrary Shape Obstacle of Scattering Problem Using Near Field Data

This paper delves into a significant area of research, exploring the application of the standard boundary element method (BEM) to analyze inverse acoustic frequency scattering problems in 2D space using a rigid corrugated circular object.The inverse problem is reformulated as an optimization problem, with the boundary of the scatterer parametrized to reduce the number of optimization variables.The influence of these parameters on imaging results based on near-field data is examined.The analysis uses a flat wave illuminating the object along the positive x-axis direction.The study evaluates the accuracy of the solution across various parameters defining the boundary of the analyzed object.The findings, which significantly contribute to advancements in computational methods, non-destructive testing, and the understanding of functional properties of materials and structures, offer valuable insights into numerical techniques and their practical engineering applications.

Authors

Publication Details

Journal
Advances in Science and Technology – Research Journal
Published
2024-10-05
DOI
https://doi.org/10.12913/22998624/192489
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
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article

Identification of an Arbitrary Shape Obstacle of Scattering Problem Using Near Field Data

Jan Sikora, Tomasz Rymarczyk, Grzegorz Kłosowski, Monika Kulisz
Advances in Science and Technology – Research Journal
Numerical methods in inverse problems
article

Identification of an Arbitrary Shape Obstacle of Scattering Problem Using Near Field Data

Jan Sikora, Tomasz Rymarczyk, Grzegorz Kłosowski, Monika Kulisz
article en

Abstract

This paper delves into a significant area of research, exploring the application of the standard boundary element method (BEM) to analyze inverse acoustic frequency scattering problems in 2D space using a rigid corrugated circular object.The inverse problem is reformulated as an optimization problem, with the boundary of the scatterer parametrized to reduce the number of optimization variables.The influence of these parameters on imaging results based on near-field data is examined.The analysis uses a flat wave illuminating the object along the positive x-axis direction.The study evaluates the accuracy of the solution across various parameters defining the boundary of the analyzed object.The findings, which significantly contribute to advancements in computational methods, non-destructive testing, and the understanding of functional properties of materials and structures, offer valuable insights into numerical techniques and their practical engineering applications.

Advances in Science and Technology – Research JournalVol. 18(7)
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Numerical methods in inverse problems
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