ML19098B054
| ML19098B054 | |
| Person / Time | |
|---|---|
| Site: | Westinghouse |
| Issue date: | 05/06/2019 |
| From: | Ekaterina Lenning NRC/NRR/DLP/PLPB |
| To: | |
| Lenning E, NRR/DLP, 415-3151 | |
| Shared Package | |
| ML19094A033 -Pkg. | List: |
| References | |
| EPID L-2016-TOP-0015 | |
| Download: ML19098B054 (26) | |
Text
Federal Register
base goalsThe critical boiling transition model can be trusted in reactor safety analyses.
The validation data (i.e., the data used to quantify the model's error) should be identified.
The application domain of the model should be mathematically defined.
The expected domain of the model should be understood.
There should be adequate data density throughout the expected and application domains.
Sparse regions (i.e., regions of low data density) in the expected and application domains should be identified and justified to be appropriate.
The model should be restricted to its application domain.
The validation error should be investigated to determine if it contains any sub-groups which are obviously not from the same population (i.e., not poolable).
The expected domain should be investigated to determine if it contains any non-conservative subregions which would impact the predictive capability of the model.
The model is trending as expected in each of the various model parameters.
The validation error statistics should be calculated from an appropriate database
The validation error statistics should be calculated using an appropriate method.
The model's error should be appropriately biased in generating the model uncertainty.
The model has been implemented in the same computer code which was used to generate the validation error.
The model used for prediction of the Critical Boiling Transition is applied in the same manner as it was when determining the model's error from the validation error set.
The model results in an accurate or conservative prediction when it is used to predict transient behavior