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

Giacomo Oliveri (1) , Ping-Ping Ding (2) , Lorenzo Poli (1)

1 UNITN - Università degli Studi di Trento = University of Trento
2 L2S - Laboratoire des signaux et systèmes

An innovative 3D imaging technique is proposed for the detection of cracks in anisotropic layered media. Towards this end, a fast approach to compute the 3D 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.

Mots clés: Bayesian Compressive Sampling; Contrast Source Formulation; Uniaxial; Crack Detection; Anisotropic Planar Layered Media; Inverse Scattering; Non-Destructive Evaluation (NDE)

Domaines: Sciences de l'ingénieur [physics]; Physique mathématique [math-ph]; Traitement du signal et de l'image [eess.SP]

Giacomo Oliveri, Ping-Ping Ding, Lorenzo Poli. 3D Crack Detection in Anisotropic Layered Media through a Sparseness-Regularized Solver. IEEE Antennas and Wireless Propagation Letters, 2015, 14, pp.1031-1034. ⟨10.1109/LAWP.2014.2365523⟩. ⟨hal-01108377⟩