Stochastic evaluation of defects in eddy currents non-destructive testing system

Simple item page
dc.contributor.authorOUDNI, Zehor
dc.contributor.authorMOHELLEBI, Hassane
dc.date.accessioned2020-06-28T09:22:27Z
dc.date.available2020-06-28T09:22:27Z
dc.date.issued29/08/2019
dc.description.abstractIn this paper, we discuss the defect evaluation in a conductive material, by a method based on stochastic finite elements. This later allows then to obtain a hazard distribution of one or more physical properties of the material. To do this, we have considered two kinds of distributions of random variables; Gaussian and Lognormal ones. Those variables will represent the distribution of the electrical conductivity in the area of the defect to be investigated and an evaluation of the impact on the reliability of the device will be done. A stochastic finite element calculation code is developed and the variation of the impedance is then deduced by doing a scan along the surface of the conductive plate. The computational was performed in the two cases successively, Gaussian and Lognormal distributions. A post-treatment is performed by the calculation of the reliability index. This results Allowed us to evaluate the probability of failure associated with the nature of the fault present on the conductive plate for both cases of random variables. The study is completed by the evaluation of the impact of the defect thickness on the reliability index using lognormal distribution of the random variable. The results obtained appear to be interesting.en
dc.identifier.urihttps://dspace.ummto.dz/handle/ummto/11396
dc.language.isoenen
dc.subjectStochastic finite elements, lognormal, Gaussian, random variable, default, reliability index, probability of failureen
dc.titleStochastic evaluation of defects in eddy currents non-destructive testing systemen
dc.typeWorking Paperen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Zehor OUDNI, Hassane MOHELLEBI_2019 .pdf
Size:
67.83 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Faculté du Génie Electrique et d'Informatique