| Autor: |
Price, Dean, Maile, Andrew, Peterson-Droogh, Joshua, Blight, Derreck |
| Zdroj: |
Nuclear Engineering and Technology; 20210101, Issue: Preprints |
| Abstrakt: |
Large-scale reactor simulation often requires the use of Monte Carlo calculation techniques to estimate important reactor parameters. One drawback of these Monte Carlo calculation techniques is they inevitably result in some uncertainty in calculated quantities. The present study includes parametric uncertainty quantification (UQ) and sensitivity analysis (SA) on the Advanced Test Reactor Critical (ATRC) facility housed at Idaho National Laboratory (INL) and addresses some complications due to Monte Carlo uncertainty when performing these analyses. This approach for UQ/SA includes consideration of Monte Carlo code uncertainty in computed sensitivities, consideration of uncertainty from directly measured parameters and a comparison of results obtained from brute-force Monte Carlo UQ versus UQ obtained from a surrogate model. These methodologies are applied to the uncertainty and sensitivity of kefffor two sets of uncertain parameters involving fuel plate geometry and fuel plate composition. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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