APPLICATION OF DETERMINISTIC SAMPLING FOR UNCERTAINTY QUANTIFICATION OF CFD MODEL OF WRAPPED WIRE FUEL BUNDLE

Computer simulations are widely utilized in the design and safety analyses of nuclear applications. These simulations inherently include uncertainties, for example, those stemming from the input parameters used in the analyses. It is important to assess and quantify these uncertainties, especially when the simulations are related to safety assessment or licensing activity. The practice of quantifying uncertainties within Computational Fluid Dynamics (CFD) analyses is not commonly performed due to the substantial number of calculations required by established and reliable Uncertainty Quantification (UQ) methods. Given that CFD calculations are resource-intensive, the extensive computation time makes it impractical to conduct thousands of CFD simulations. Therefore, Deterministic Sampling (DS) techniques are tested in this work to quantify uncertainties related to model input uncertain parameters. The DS techniques proved to be efficient, producing roughly similar order of magnitude of the ±3σ range around the experimental data considering only a reduced number of computations.