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University of Tennessee at Chattanooga

Modeling of laminar-to-turbulent transition using a hybrid multi-scale simulation strategy

Abstract

dc:description.abstract

Laminar-to-turbulent transition is a phenomenon observed in practical applications. Robust computational models are needed to predict the onset of transition and the associated flow dynamics. Direct numerical simulation (DNS), although suitable for fundamental studies, tends to be computationally expensive, thus making large-eddy simulations (LES) a viable strategy. In LES, large scales of the flow field are computed, and the effects of small scales are modeled. In this study, the hybrid two-level large-eddy simulation strategy (TLS-LES) is being assessed for its ability to predict features of transition. The TLS-LES strategy blends the two-level simulation (TLS) and LES models. TLS is a multi-scale model, in which both large and small scales are computed. The present work compares the TLS-LES approach with the other models by simulating temporal transition within two canonical flows: the Taylor-Green Vortex and plane Poiseuille flow. The assessment is performed by comparing the results against corresponding DNS.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Young, Mickael
Contributors dc:contributor
  • Ranjan, Reetesh
  • Sreenivas, Kidambi; Margraves, Charles
  • College of Engineering and Computer Science

Subjects

dc:subject × 2

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/772
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1946

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Young, Mickael. Modeling of laminar-to-turbulent transition using a hybrid multi-scale simulation strategy. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/772