Campus Units

Chemical and Biological Engineering

Document Type

Article

Research Focus Area

Computational Fluid Dynamics

Publication Version

Accepted Manuscript

Publication Date

5-10-2021

Journal or Book Title

Journal of Fluid Mechanics

Volume

914

First Page

A11

DOI

10.1017/jfm.2021.53

Abstract

In this work, model closures of the multiphase Reynolds-averaged Navier–Stokes (RANS) equations are developed for homogeneous, fully developed gas–particle flows. To date, the majority of RANS closures are based on extensions of single-phase turbulence models, which fail to capture complex two-phase flow dynamics across dilute and dense regimes, especially when two-way coupling between the phases is important. In the present study, particles settle under gravity in an unbounded viscous fluid. At sufficient mass loadings, interphase momentum exchange between the phases results in the spontaneous generation of particle clusters that sustain velocity fluctuations in the fluid. Data generated from Eulerian–Lagrangian simulations are used in a sparse regression method for model closure that ensures form invariance. Particular attention is paid to modelling the unclosed terms unique to the multiphase RANS equations (drag production, drag exchange, pressure strain and viscous dissipation). A minimal set of tensors is presented that serve as the basis for modelling. It is found that sparse regression identifies compact, algebraic models that are accurate across flow conditions and robust to sparse training data.

Comments

This is a manuscript of an article that has been published by Cambridge University Press as Beetham, Sarah, Rodney O. Fox, and Jesse Capecelatro. "Sparse identification of multiphase turbulence closures for coupled fluid–particle flows." Journal of Fluid Mechanics 914 (2021): A11. DOI: 10.1017/jfm.2021.53. Posted with permission.

Copyright Owner

The Author(s)

Language

en

File Format

application/pdf

Available for download on Sunday, September 05, 2021

Published Version

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