DNS-Based Turbulent Closures for Sediment Transport Using Symbolic Regression

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

Particle-laden flows occur in many ways in natural and technological situations. Jain et al. [4] presented four DNS studies of sediment transport with varying particle shapes. However, in industrial applications, the RANS equations are commonly used for simulations of turbulent flows. Chauchat et al. [2] developed a closure model in their two-phase CFD solver for sediment transport applications, SedFoam-2.0. The mean flow quantities are represented well. However, SedFoam-2.0 relies on modelling assumptions for the fluid-particle interactions which are often not satisfied, in particular for the cases simulated with DNS considered. Among others, sediment does not always act as purely dissipative, but can also enhance turbulence by its roughness. The aim of the present work, therefore, is to improve the turbulence modelling in RANS simulations utilising the DNS data.

Details

Original languageEnglish
Title of host publicationDirect and Large Eddy Simulation XIII
EditorsCristian Marchioli, Maria Vittoria Salvetti, Manuel Garcia-Villalba, Philipp Schlatter
Pages227–231
Number of pages5
ISBN (electronic)978-3-031-47028-8
Publication statusPublished - 2022
Peer-reviewedYes

Publication series

Series ERCOFTAC series / European Research Community on Flow Turbulence and Combustion
Volume31
ISSN1382-4309

External IDs

ORCID /0000-0003-1653-5686/work/170585454