We deal with the geometrical inverse problem of the shape reconstruction of cavities in a bounded linear isotropic medium by means of boundary data. The problem is addressed from the point of view of optimal control: the goal is to minimize in the class of Lipschitz domains a Kohn-Vogelius type functional with a perimeter regularization term which penalizes the perimeter of the cavity to be reconstructed. To solve numerically the optimization problem, we use a phase-field approach, approximating the perimeter functional with a Modica-Mortola relaxation and modeling the cavity as an inclusion with a very small elastic tensor. We provide a detailed analysis showing the robustness of the algorithm through some numerical experiments.
A phase-field approach for detecting cavities via a Kohn-Vogelius type functional / A. Aspri. - In: INVERSE PROBLEMS. - ISSN 0266-5611. - 38:9(2022 Sep), pp. 094001.1-094001.42. [10.1088/1361-6420/ac82e4]
A phase-field approach for detecting cavities via a Kohn-Vogelius type functional
A. Aspri
Primo
Writing – Review & Editing
2022
Abstract
We deal with the geometrical inverse problem of the shape reconstruction of cavities in a bounded linear isotropic medium by means of boundary data. The problem is addressed from the point of view of optimal control: the goal is to minimize in the class of Lipschitz domains a Kohn-Vogelius type functional with a perimeter regularization term which penalizes the perimeter of the cavity to be reconstructed. To solve numerically the optimization problem, we use a phase-field approach, approximating the perimeter functional with a Modica-Mortola relaxation and modeling the cavity as an inclusion with a very small elastic tensor. We provide a detailed analysis showing the robustness of the algorithm through some numerical experiments.File | Dimensione | Formato | |
---|---|---|---|
Aspri_22.pdf
Open Access dal 02/09/2023
Tipologia:
Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione
2.13 MB
Formato
Adobe PDF
|
2.13 MB | Adobe PDF | Visualizza/Apri |
Aspri_2022_Inverse_Problems_38_094001.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
2.39 MB
Formato
Adobe PDF
|
2.39 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.