Advanced validation methodology for SFR simulation tools
Résumé
This paper presents the advanced validation of this OCARINa tool on two CABRI tests, considering this time, a Best Estimated Plus Uncertainties (BEPU) approach. For this, a general methodology based upon statistical advanced techniques, is developed in particular, a new probabilistic criterion is proposed to quantify the validation on scalar results and a visualization tool is used for validation of vectorial or functional variables. After describing these estimation tools, their utility and usability are demonstrated on two the very different CABRI tests CABRI-E7 and CABRI-E12. The Best estimate Plus Uncertainty propagation study has been achieved performing 1000 simulations for each of these two CABRI cases taking into account nine uncertain parameters. This new validation methodology permits to conclude quantitatively on the validation of the OCARINa tool on these two transients and to highlight future effort axis to strengthen the demonstration of validation of safety tools.