Electron. J. Differential Equations, Vol. 2016 (2016), No. 265, pp. 1-13.

Shape derivative of an energy error functional for voids detection from sub-Cauchy data

Emna Jaïem

We study a new framework for a geometric inverse problem in linear elasticity. This problem concerns the recovery of cavities from the knowledge of partially overdetermined boundary data. The boundary data available for the reconstruction are given by the displacement field and the normal component of the normal stress, whereas there is lack of information about the shear stress. We propose an identification method based on a Kohn-Vogelius error functional combined with the shape gradient method. We put special focus on the identification of cavities and prove uniqueness for the case of monotonous cavities.

Submitted February 3, 2016. Published September 28, 2016.
Math Subject Classifications: 35R30, 74B05.
Key Words: Geometric inverse problem; cavities identification; linear elasticity; partially overdetermined boundary data; Kohn-Vogelius error functional; shape gradient.

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Emna Jaïem
Université de Tunis El Manar
Ecole Nationale d'Ingénieurs de Tunis
LR99ES20 Modélisation Mathématique et Numérique dans les Sciences de l'Ingénieur
LAMSIN, B.P. 37, 1002 Tunis, Tunisie
email: emna23jaiem@gmail.com

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