Validation and Uncertainty Quantification for Wall Boiling Closure Relations in Multiphase-CFD Solver
Yang Liu, Nam Dinh

TL;DR
This paper performs validation and uncertainty quantification of wall boiling closure relations in a multiphase CFD solver, assessing their accuracy and consistency using statistical methods and datasets.
Contribution
It introduces a comprehensive VUQ framework for wall boiling closure relations, combining sensitivity analysis, Bayesian inference, and validation metrics.
Findings
Closure relations show satisfactory superheat prediction accuracy.
Intrinsic inconsistencies limit prediction accuracy across all quantities.
Statistical methods identify influential parameters and quantify uncertainties.
Abstract
The two-fluid model based Multiphase Computational Fluid Dynamics (MCFD) has been considered as one of the most promising tools to investigate two-phase flow and boiling system for engineering purposes. The MCFD solver requires closure relations to make the conservation equations solvable. The wall boiling closure relations, for example, provide predictions on wall superheat and heat partitioning. The accuracy of these closure relations significantly influences the predictive capability of the solver. In this paper, a study of validation and uncertainty quantification (VUQ) for the wall boiling closure relations in MCFD solver is performed. The work has three purposes: i). identify influential parameters to the quantities of interest of the boiling system through sensitivity analysis; ii). evaluate the parameter uncertainty through Bayesian inference with the support of multiple…
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Taxonomy
TopicsProbabilistic and Robust Engineering Design · Nuclear Engineering Thermal-Hydraulics · Nuclear reactor physics and engineering
