An innovative 3-D imaging technique is proposed for the detection of cracks in anisotropic layered media. Toward this end, a fast approach to compute the 3-D method-of-moments (MoM) matrices is combined with a Bayesian Compressive Sensing solver to retrieve the unknown equivalent currents corresponding to sparse crack profiles. The proposed approach is numerically validated in a representative set of examples.

3D Crack Detection in Anisotropic Layered Media through a Sparseness-Regularized Solver / Oliveri, Giacomo; Ping Ping, Ding; Poli, Lorenzo. - In: IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS. - ISSN 1536-1225. - 14:(2015), pp. 1031-1034. [10.1109/LAWP.2014.2365523]

3D Crack Detection in Anisotropic Layered Media through a Sparseness-Regularized Solver

Oliveri, Giacomo;Poli, Lorenzo
2015-01-01

Abstract

An innovative 3-D imaging technique is proposed for the detection of cracks in anisotropic layered media. Toward this end, a fast approach to compute the 3-D method-of-moments (MoM) matrices is combined with a Bayesian Compressive Sensing solver to retrieve the unknown equivalent currents corresponding to sparse crack profiles. The proposed approach is numerically validated in a representative set of examples.
2015
Oliveri, Giacomo; Ping Ping, Ding; Poli, Lorenzo
3D Crack Detection in Anisotropic Layered Media through a Sparseness-Regularized Solver / Oliveri, Giacomo; Ping Ping, Ding; Poli, Lorenzo. - In: IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS. - ISSN 1536-1225. - 14:(2015), pp. 1031-1034. [10.1109/LAWP.2014.2365523]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/97891
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