Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulence

We specifically focus on the terms responsible for decay of the Reynolds stresses which can be isolated and evaluated separately from other terms in a canonical setup of homogeneous turbulence. We show that by using anisotropic forcing of the momentum equation we can access states of turbulence traditionally not probed in a triply-periodic domain. We then consider a variety of model forms for which these data allow us to perform a robust selection of model coefficients and select an optimal model that extends to cubic terms when expressed in terms of the principal coordinate Reynolds stresses.

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Publication Details

Journal
Physical Review Fluids
Published
2024-09-26
DOI
https://doi.org/10.1103/physrevfluids.9.094608
Primary Topic
Cyclone Separators and Fluid Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulence

Ty Homan, Ali Mani, Omkar B. Shende
Physical Review Fluids
Cyclone Separators and Fluid Dynamics
article

Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulence

Ty Homan, Ali Mani, Omkar B. Shende
article en

Abstract

We specifically focus on the terms responsible for decay of the Reynolds stresses which can be isolated and evaluated separately from other terms in a canonical setup of homogeneous turbulence. We show that by using anisotropic forcing of the momentum equation we can access states of turbulence traditionally not probed in a triply-periodic domain. We then consider a variety of model forms for which these data allow us to perform a robust selection of model coefficients and select an optimal model that extends to cubic terms when expressed in terms of the principal coordinate Reynolds stresses.

Physical Review FluidsVol. 9(9)
Stanford University (US)
National Science Foundation, National Aeronautics and Space Administration, Office of Naval Research
Openalex Percentile: Top 82%
Cyclone Separators and Fluid Dynamics
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