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Boundary Reconstruction in Two-Dimensional Functionally Graded Materials Using a Regularized MFS

Liviu Marin1

1 Institute of Solid Mechanics, Romanian Academy, 15 Constantin Mille, Sector 1, P.O. Box 1-863, 010141 Bucharest, Romania. E-mails: marin.liviu@gmail.com; liviu@imsar.bu.edu.ro

Computer Modeling in Engineering & Sciences 2009, 46(3), 221-254. https://doi.org/10.3970/cmes.2009.046.221

Abstract

We investigate the stable numerical reconstruction of an unknown portion of the boundary of a two-dimensional domain occupied by a functionally graded material (FGM) from a given boundary condition on this part of the boundary and additional Cauchy data on the remaining known portion of the boundary. The aforementioned inverse geometric problem is approached using the method of fundamental solutions (MFS), in conjunction with the Tikhonov regularization method. The optimal value of the regularization parameter is chosen according to Hansen's L-curve criterion. Various examples are considered in order to show that the proposed method is numerically stable with respect to decreasing the amount of noise added into the Cauchy data, accurate and computationally very efficient.

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APA Style
Marin, L. (2009). Boundary reconstruction in two-dimensional functionally graded materials using a regularized MFS. Computer Modeling in Engineering & Sciences, 46(3), 221-254. https://doi.org/10.3970/cmes.2009.046.221
Vancouver Style
Marin L. Boundary reconstruction in two-dimensional functionally graded materials using a regularized MFS. Comput Model Eng Sci. 2009;46(3):221-254 https://doi.org/10.3970/cmes.2009.046.221
IEEE Style
L. Marin, “Boundary Reconstruction in Two-Dimensional Functionally Graded Materials Using a Regularized MFS,” Comput. Model. Eng. Sci., vol. 46, no. 3, pp. 221-254, 2009. https://doi.org/10.3970/cmes.2009.046.221



cc Copyright © 2009 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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