MATLAB/FLUENT Model for Studying the Uncertainty Quantification of Spent Nuclear Fuel Heat Transfer

Imane Khalil, Quinn Pratt

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A MATLAB tool that combines computational fluid dynamics with uncertainty quantification (UQ) applied to a two-dimensional FLUENT computational model to predict the heat transfer and the maximum temperature inside a spent fuel assembly is presented in this technical note. The tool is used to establish a connection between MATLAB and ANSYS-FLUENT for the purpose of UQ using the Sandia National Laboratory’s UQ Toolkit. This tool allows users to adapt the UQ methodology to existing ANSYS-FLUENT models in order to automate the quadrature-based simulation process. The novelty of the tool presented in this technical note is its ability to generate results covering a continuous range of input parameters by using polynomial chaos expansions for the representation of random variables and the propagation of uncertainty in computational models.

Original languageEnglish (US)
Pages (from-to)987-991
Number of pages5
JournalNuclear Technology
Volume205
Issue number7
DOIs
StatePublished - Jul 3 2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Condensed Matter Physics

Keywords

  • ANSYS-FLUENT
  • heat transfer
  • MATLAB
  • Uncertainty quantification

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