Subject: Data integration for the management of uncertainty in a simulation process
Location: Institut CEA LIST, CEA Saclay – Digiteo, 91191 Gif-sur-Yvette Cedex, France
Duration: 12 months
In the field of NonDestructive Testing (NDT), Probability of detection (POD) and false alarm rate are key quantities used to quantify the performance of a particular inspection setup. Simulation can be used to estimate such quantities, through a propagation of inputs uncertainty in the physical model. The CIVA platform developed at CEA LIST is recognized as a software of reference in the community for the simulation of NDT techniques. Firstly, the project aims at enhancing the description of inputs uncertainty, which is today somewhat arbitrarily described based on experts' judgement. Secondly, it aims at designing a model calibration strategy able to correct discrepancies between theory and practice, coming from phenomena that are not taken into account by the model. Among those effects, one can cite perturbations due to the environment or human factors, for instance. To reach these two goals, the method proposed consists in integrating experimental data to the simulation process. The work will be conducted in close collaboration with the LGLS laboratory of CEA's Directon de l'Energie Nucléaire (DEN), specialized in statistical modelling and developing the URANIE platform dedicated to sensitivity analysis and uncertainty quantification.
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(c) GdR 720 ISIS - CNRS - 2011-2015.