Details

Autor(en) / Beteiligte

• Abdelli, D. E.
• Nguyen, T. T.
• Clenet, S.
• Cheriet, A.

Titel

Stochastic Metamodel for Probability of Detection Estimation of Eddy-Current Testing Problem in Random Geometric

Ist Teil von

• IEEE transactions on magnetics, 2019-06, Vol.55 (6), p.1-4

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2019

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• The calculation of the probability of detection in non-destructive eddy-current testing requires the solution of a stochastic model requiring numerous calls of a numerical model leading to a huge computation time. To reduce this computation time, we propose in this paper to combine either the use of a stochastic metamodel or a mapping which avoids the remeshing step. The stochastic metamodel is constructed using the least-angle regression method. This approach is tested on an axisymmetric problem with six random input paramters which shows its efficiency and its accuracy.