Dynamic mode decomposition of numerical data in natural circulation
Abstract
Dynamic mode decomposition (DMD) has been used for experimental and numerical data analysis in fluid dynamics. Despite of its advantages, the application of the DMD methodology to investigate the natural circulation in nuclear reactors are very scarce in literature. In this paper it is applied the traditional DMD and its variation, the sparsity-promoting dynamic mode decomposition (SPDMD), for analysis of temperature and velocity fields data, generated by computational simulation of an experimental setup in reduced scale, similar to a heat removal system by natural circulation of a pool-type research reactor.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Jose Luiz Horacio Faccini, Eliaquim Monteiro Ramos, Francisco Rogerio Teixeira do Nascimento, Gabriella Machado Darze, Gilson Antonio Giraldi
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.