Uncertainty evaluation constitutes a key feature of BEPU (Best Estimate Plus Uncertainty) process. The uncertainty can be the result of a Monte Carlo type analysis involving input uncertainty parameters, or the outcome of a process involving the use of experimental data and connected code calculations. Those uncertainty methods are discussed in several papers and guidelines (IAEA-SRS-52, OECD/NEA BEMUSE reports). The present paper proposes a methodology for merging from one side suitable experimental data and from the other qualified code calculation results. The final result has been named SCRED: a Standard Consolidate Reference Experimental and calculate Database.
SCRED Database to Support BEPU Licensing
D'AURIA, FRANCESCO SAVERIO;
2013-01-01
Abstract
Uncertainty evaluation constitutes a key feature of BEPU (Best Estimate Plus Uncertainty) process. The uncertainty can be the result of a Monte Carlo type analysis involving input uncertainty parameters, or the outcome of a process involving the use of experimental data and connected code calculations. Those uncertainty methods are discussed in several papers and guidelines (IAEA-SRS-52, OECD/NEA BEMUSE reports). The present paper proposes a methodology for merging from one side suitable experimental data and from the other qualified code calculation results. The final result has been named SCRED: a Standard Consolidate Reference Experimental and calculate Database.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
