2010
DOI: 10.1515/jiip.2010.011
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Corrosion detection in a 2D domain with a polygonal boundary

Abstract: We consider the problem of quantitative non-destructive evaluation of corrosion in a 2D domain representing a thin metallic plate. Corrosion damage is assumed to occur in an inaccessible part of the domain. Reconstruction of the damaged profile is possible by measuring an electrostatic current properly induced by a potential in an accessible part of the boundary (electrical impedance tomography). We present here numerical methods and results based on a formulation of the problem introduced and analyzed in Bacc… Show more

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Cited by 4 publications
(2 citation statements)
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“…A surface defect is naturally modeled by means of a function of two variables when it is originated by mechanical collisions or some kind of corrosion (for example, uniform corrosion or erosioncorrosion). On the other hand, pitting corrosion or cracking (see for example [21] (section 1.5)) must be modeled by means of a curve that is not the graph of a function ( [12]).…”
Section: The Inverse Problemmentioning
confidence: 99%
“…A surface defect is naturally modeled by means of a function of two variables when it is originated by mechanical collisions or some kind of corrosion (for example, uniform corrosion or erosioncorrosion). On the other hand, pitting corrosion or cracking (see for example [21] (section 1.5)) must be modeled by means of a curve that is not the graph of a function ( [12]).…”
Section: The Inverse Problemmentioning
confidence: 99%
“…Zhang [19] quantitatively analyzed the relationship between crosssection loss of cable and magnetic signal by establishing a finite element model. Bacchelli [20] studied the reconstruction of the damaged profile of a thin metallic plate, which is possible by measuring an electrostatic current properly induced by a potential in an accessible part of the boundary. Han [21] estimated the location, shape and size of the corrosion area by analyzing the surface temperature distribution of the sample.…”
Section: Introductionmentioning
confidence: 99%