Scaling analysis and relation to EMDAP and BEPU

摘要

The role of scaling analysis in Evaluation Model Development and Assessment Process (EMDAP) and Best Estimate Plus Uncertainty (BEPU) is presented. An application of scaling analysis for design and development of an integral effects test facility is used as an example. The discussion of the possible criteria to establish important phenomena and evaluate distortions between the models and prototypes for one complex postulated accident scenario consisting of multiple events (and time sequences between them) is presented. It was concluded that scaling analysis can support the evaluation model development and assessment process and help to evaluate uncertainties by quantifying and ranking effects of various identified phenomena. Also, the scaling analysis can be an integral part of the evaluation model (which is under the development) and help to identify needed code improvements.