Journal of Computational and Applied Mathematics2022,Vol.40115.DOI:10.1016/j.cam.2021.113780

On the cavity detection in a heat conductive medium from time-average boundary temperature measurement

Wang, Yuchan Chen, Qun Liu, Jijun
Journal of Computational and Applied Mathematics2022,Vol.40115.DOI:10.1016/j.cam.2021.113780

On the cavity detection in a heat conductive medium from time-average boundary temperature measurement

Wang, Yuchan 1Chen, Qun 1Liu, Jijun2
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作者信息

  • 1. Nanjing Univ Informat Sci & Technol
  • 2. Southeast Univ
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Abstract

Consider the shape identification of an inclusion in heat conductive medium from the time average measurement, which is modeled by an initial boundary value problem for a parabolic system with extra nonlocal measurement data specified on the outer boundary. For this nonlocal and nonlinear inverse problem for the two-dimensioned parabolic equation in a doubly-connected domain, the radius function describing the shape of inner boundary to be identified is defined as the minimizer of a regularizing cost functional. The existence of this minimizer is firstly proven in a suitable admissible set. Then we establish the convergence rate of the regularizing solution under alpha-posteriori choice strategy for the regularizing parameter. Finally the differentiability of the cost functional is proven, which provides a fundamental basis for gradient type iteration scheme. Based on the adjoint and sensitivity problem of the original problem which give the gradient of the cost functional, we propose a steepest descent iteration algorithm for finding the minimizer approximately. Numerical examples are presented to show the validity of our algorithm. (C) 2021 Elsevier B.V. All rights reserved.

Key words

Inverse problem/Shape identification/Regularization/Discrepancy principle/Iteration/Numerics/IDENTIFICATION

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
参考文献量29
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