Database generation and exploitation for efficient and intensive simulation studies

R. Miorelli (1) , X. Artusi (1) , A.B. Abdessalem (1) , C. Reboud (1)

1 DISC - Département Imagerie et Simulation pour le Contrôle

This communication proposes a study on the application of surrogate modelling for intensive simulations studies. In particular, stochastic inversion approaches, model assisted probability of detection (MAPOD) and sensitivity analysis studies are addressed. Some illustrative examples, corresponding to real applications and involving different non-destructive testing methods, are also presented.

Domains: Physics [physics]; Computer Science [cs]

R. Miorelli, X. Artusi, A.B. Abdessalem, C. Reboud. Database generation and exploitation for efficient and intensive simulation studies. 42nd annual review of progress in quantitative nondestructive evaluation: Incorporating the 6th European-American Workshop on Reliability of NDE, Jul 2015, Minneapolis, United States. ⟨10.1063/1.4940632⟩. ⟨cea-01811898⟩