Abstract:Abstract. In this paper we extend recent work on the detection of inclusions using electrostatic measurements to the problem of crack detection in a two-dimensional object. As in the inclusion case our method is based on a factorization of the difference between two Neumann-Dirichlet operators. The factorization possible in the case of cracks is much simpler than that for inclusions and the analysis is greatly simplified. However, the directional information carried by the crack makes the practical implementat… Show more
“…The paper extends several recent results, concepts, and methods for imaging cracks. Crack detection algorithms using electrostatic measurements have been derived in [11,10,17]. In [5] a continuous model was considered and an asymptotic expansion of the boundary perturbations that are due to the presence of a small crack was derived.…”
Abstract. We consider the problem of locating perfectly conducting cracks and estimating their geometric features from multi-static response matrix measurements at a single or multiple frequencies. A main objective is to design specific crack detection rules and to analyze their receiver operating characteristics and the associated signal-to-noise ratios. In this paper we introduce an analytic framework that uses asymptotic expansions which are uniform with respect to the wavelength-to-crack size ratio in combination with a hypothesis test based formulation to construct specific procedures for detection of perfectly conducting cracks. A central ingredient in our approach is the use of random matrix theory to characterize the signal space associated with the multi-static response matrix measurements. We present numerical experiments to illustrate some of our main findings.
“…The paper extends several recent results, concepts, and methods for imaging cracks. Crack detection algorithms using electrostatic measurements have been derived in [11,10,17]. In [5] a continuous model was considered and an asymptotic expansion of the boundary perturbations that are due to the presence of a small crack was derived.…”
Abstract. We consider the problem of locating perfectly conducting cracks and estimating their geometric features from multi-static response matrix measurements at a single or multiple frequencies. A main objective is to design specific crack detection rules and to analyze their receiver operating characteristics and the associated signal-to-noise ratios. In this paper we introduce an analytic framework that uses asymptotic expansions which are uniform with respect to the wavelength-to-crack size ratio in combination with a hypothesis test based formulation to construct specific procedures for detection of perfectly conducting cracks. A central ingredient in our approach is the use of random matrix theory to characterize the signal space associated with the multi-static response matrix measurements. We present numerical experiments to illustrate some of our main findings.
“…To compute the corresponding physical measurements given by (10) and corresponding to the applied potential c j , we employ a straightforward finite difference scheme.…”
“…These methods does not allow the recovring the crack, they give only qualitative results (information on the shape and the location of the crack). Further more, they are usually based on the essential assumption that the over determined boundary data are 'complete', which means that they are known on the whole outer boundary of the body (Andrieux and Ben Abda 1996 [4]; Brühl et al 2001 [14]; Baratchart et al 1999 [7]). …”
This work deals with cracks identification from over-determined boundary data. The consideration physical phenomena corresponds to the transient heat equation. we give a theoretical result of identifiability for the inverse problem under consideration. Then, we consider a recovering process based on coupling domain decomposition method and minimizing an energy-type error functional. The efficiency of the proposed approach is illustrated by several numerical results.
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