Statistics in a Backscatter Eddy Viscosity Turbulence Model

ABSTRACT This article addresses two significant drawbacks of an eddy viscosity turbulence model: the issue of excessive dissipation relative to energy input and the lack of a universal parameter specification. Considering the Baldwin–Lomax model with backscatter effects, we first prove the existence and uniqueness of global weak solutions under mild conditions. Our next result shows that this model maintains energy dissipation rates consistent with energy input, thereby avoiding over‐dissipation and aligning with phenomenology. Additionally, we propose a range for the model's mixing length.

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Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2025-08-25
DOI
https://doi.org/10.1002/num.70026
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
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article

Statistics in a Backscatter Eddy Viscosity Turbulence Model

Ali Pakzad, Farjana Siddiqua
Numerical Methods for Partial Differential Equations
Fluid Dynamics and Turbulent Flows
article

Statistics in a Backscatter Eddy Viscosity Turbulence Model

Ali Pakzad, Farjana Siddiqua
article en

Abstract

ABSTRACT This article addresses two significant drawbacks of an eddy viscosity turbulence model: the issue of excessive dissipation relative to energy input and the lack of a universal parameter specification. Considering the Baldwin–Lomax model with backscatter effects, we first prove the existence and uniqueness of global weak solutions under mild conditions. Our next result shows that this model maintains energy dissipation rates consistent with energy input, thereby avoiding over‐dissipation and aligning with phenomenology. Additionally, we propose a range for the model's mixing length.

Numerical Methods for Partial Differential EquationsVol. 41(5)
Georgia Institute of Technology (US), California State University, Northridge (US)
Openalex Percentile: Top 76%
Fluid Dynamics and Turbulent Flows
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Statistics in a Backscatter Eddy Viscosity Turbulence Model — Ali Pakzad, Farjana Siddiqua · Numerical Methods for Partial Differential Equations (2025) | TGRS Research Map | TGRS