Stochastic Metamodel for Probability of Detection Estimation of Eddy-Current Testing Problem in Random Geometric
Article dans une revue avec comité de lecture
Auteur
ABDELLI, Djamel EddinNGUYEN, Thanh HungCHERIET, Ahmed 
CLENET, StephaneRésumé
The calculation of the Probability Of Detection (POD) 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 and a mapping which avoids the remeshing step. The stochastic metamodel is constructed using the Least Angle Regression Method. This approach is tested on a axisymmetric problem with 6 random input paramters which shows its efficiency and its accuracy.
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