Boundary reconstruction in two-dimensional steady-state anisotropic heat conduction

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED Numerical Algorithms Pub Date : 2024-05-29 DOI:10.1007/s11075-024-01831-x
Liviu Marin, Andrei Tiberiu Pantea
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Abstract

We study the reconstruction of an unknown/inaccessible smooth inner boundary from the knowledge of the Dirichlet condition (temperature) on the entire boundary of a doubly connected domain occupied by a two-dimensional homogeneous anisotropic solid and an additional Neumann condition (normal heat flux) on the known, accessible, and smooth outer boundary in the framework of steady-state heat conduction with heat sources. This inverse geometric problem is approached through an operator that maps an admissible inner boundary belonging to the space of \(2\pi -\)periodic and twice continuously differentiable functions into the Neumann data on the outer boundary which is assumed to be continuous. We prove that this operator is differentiable, and hence, a gradient-based method that employs the anisotropic single layer representation of the solution to an appropriate Dirichlet problem for the two-dimensional anisotropic heat conduction is developed for approximating the unknown inner boundary. Numerical results are presented for both exact and perturbed Neumann data on the outer boundary and show the convergence, stability, and robustness of the proposed method.

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二维稳态各向异性热传导中的边界重构
我们研究了在有热源的稳态热传导框架下,根据二维均质各向异性固体占据的双连域整个边界上的狄利克特条件(温度),以及已知、可及、光滑外边界上的额外诺伊曼条件(法向热通量),重建未知/不可及的光滑内边界。这个逆几何问题是通过一个算子来解决的,这个算子将属于 \(2\pi -\)periodic and twice continuously differentiable functions 空间的可容许内边界映射到假定为连续的外边界上的 Neumann 数据。我们证明了这个算子是可微分的,因此,我们开发了一种基于梯度的方法,该方法采用了二维各向异性热传导的适当 Dirichlet 问题解的各向异性单层表示法,用于逼近未知内边界。针对外部边界的精确数据和扰动 Neumann 数据给出了数值结果,并显示了所提方法的收敛性、稳定性和鲁棒性。
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来源期刊
Numerical Algorithms
Numerical Algorithms 数学-应用数学
CiteScore
4.00
自引率
9.50%
发文量
201
审稿时长
9 months
期刊介绍: The journal Numerical Algorithms is devoted to numerical algorithms. It publishes original and review papers on all the aspects of numerical algorithms: new algorithms, theoretical results, implementation, numerical stability, complexity, parallel computing, subroutines, and applications. Papers on computer algebra related to obtaining numerical results will also be considered. It is intended to publish only high quality papers containing material not published elsewhere.
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