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.| File | Dimensione | Formato | |
|---|---|---|---|
|
3D crack detection in anisotropic layered media through a sparseness-regularizerd solver.pdf
Solo gestori archivio
Tipologia:
Versione editoriale (Publisher’s layout)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
1.02 MB
Formato
Adobe PDF
|
1.02 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
