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

Author

Oliveri, Giacomo ; Ping-Ping Ding ; Poli, Lorenzo

Author_Institution

ELEDIA Res. Center@DISI, Univ. of Trento, Povo, Italy

Volume

14

fYear

2015

fDate

2015

Firstpage

1031

Lastpage

1034

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.

Keywords

Bayes methods; anisotropic media; compressed sensing; crack detection; inhomogeneous media; matrix algebra; method of moments; nondestructive testing; 3D crack detection; 3D imaging technique; 3D method of moments matrix; Bayesian compressive sensing; MoM matrix; anisotropic layered media; sparseness-regularized solver; Bayes methods; Imaging; Manganese; Method of moments; Nonhomogeneous media; Signal to noise ratio; Three-dimensional displays; Anisotropic planar layered media; Bayesian compressive sampling; contrast source formulation; crack detection; inverse scattering; nondestructive evaluation (NDE); uniaxial;

fLanguage

English

Journal_Title

Antennas and Wireless Propagation Letters, IEEE

Publisher

ieee

ISSN

1536-1225

Type

jour

DOI

10.1109/LAWP.2014.2365523

Filename

6937068