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   Articles with "turbulence modeling" as a keyword



Impact of turbulence modeling on the simulation of blood flow in aortic coarctation

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recommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"

DOI: 10.1002/cnm.3695

Abstract: Numerical simulations of pulsatile blood flow in an aortic coarctation require the use of turbulence modeling. This paper considers three models from the class of large eddy simulation (LES) models (Smagorinsky, Vreman, σ ‐model) and… read more here.

Keywords: flow; flow aortic; turbulence modeling; turbulence ... See more keywords

The effects of turbulence modeling on dynamic stall

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recommendations! Published in 2024 at "Acta Mechanica"

DOI: 10.1007/s00707-025-04232-w

Abstract: A numerical investigation of the flow evolution over a pitching NACA 0012 airfoil incurring in deep dynamic stall phenomena is presented. The experimental data at Reynolds number Re = 135, 000 and reduced frequency k… read more here.

Keywords: turbulence modeling; dynamic stall; turbulence; effects turbulence ... See more keywords

Representation of stress tensor perturbations with application in machine-learning-assisted turbulence modeling

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recommendations! Published in 2019 at "Computer Methods in Applied Mechanics and Engineering"

DOI: 10.1016/j.cma.2018.09.010

Abstract: Abstract Numerical simulations based on Reynolds-Averaged Navier–Stokes (RANS) equations are widely used in engineering design and analysis involving turbulent flows. However, RANS simulations are known to be unreliable in many flows of engineering relevance, which… read more here.

Keywords: representation; turbulence modeling; machine; machine learning ... See more keywords

Turbulence modeling effects on the CFD predictions of flow over a NASCAR Gen 6 racecar

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recommendations! Published in 2018 at "Journal of Wind Engineering and Industrial Aerodynamics"

DOI: 10.1016/j.jweia.2018.03.016

Abstract: Abstract Turbulence modeling effects on the RANS CFD simulations of a full-scale NASCAR Gen 6 Cup car are presented in this paper using three commonly used eddy viscosity turbulence models, viz. the realizable and AKN… read more here.

Keywords: modeling effects; vehicle; turbulence; nascar gen ... See more keywords

Combined evaluation of bubble dynamics, polydispersion model and turbulence modeling for adiabatic two-phase flow

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recommendations! Published in 2017 at "Nuclear Engineering and Design"

DOI: 10.1016/j.nucengdes.2017.03.041

Abstract: Abstract The paper deals with the modeling and the numerical simulation of upward bubbly flow in a new experimental test, named CHAPTAL. The CHAPTAL experimental program has been set up in the framework of the… read more here.

Keywords: phase; two phase; phase flow; turbulence modeling ... See more keywords
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Turbulence modeling approaches on unsteady flow structures around a semi-circular cylinder

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recommendations! Published in 2020 at "Ocean Engineering"

DOI: 10.1016/j.oceaneng.2020.107051

Abstract: Abstract This paper presents the flow field around a Semi-Circular Cylinder (SCC), a basic geometry for fluid mechanics, obtained numerically by Computational Fluid Dynamics (CFD) at Reynolds number of 3.2 × 104. Time-averaged flow characteristics such as… read more here.

Keywords: turbulence; turbulence modeling; around semi; circular cylinder ... See more keywords

Data-driven turbulence modeling: A mutually coupled framework for symbolic regression and data assimilation

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recommendations! Published in 2025 at "Physics of Fluids"

DOI: 10.1063/5.0280752

Abstract: In recent years, machine learning techniques have demonstrated significant potential in the field of turbulence modeling. Symbolic regression, a white-box machine learning technique, offers a new approach to turbulence modeling by uncovering mathematical relationships within… read more here.

Keywords: turbulence modeling; data assimilation; turbulence; symbolic regression ... See more keywords

Application of tilt correlation statistics to anisoplanatic optical turbulence modeling and mitigation.

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recommendations! Published in 2021 at "Applied optics"

DOI: 10.1364/ao.418458

Abstract: Atmospheric optical turbulence can be a significant source of image degradation, particularly in long range imaging applications. Many turbulence mitigation algorithms rely on an optical transfer function (OTF) model that includes the Fried parameter. We… read more here.

Keywords: modeling mitigation; turbulence; otf model; turbulence modeling ... See more keywords
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Turbulence Modeling in Hypersonic Turbulent Boundary Layers Subject to Convex Wall Curvature

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recommendations! Published in 2021 at "AIAA Journal"

DOI: 10.2514/1.j060247

Abstract: Hypersonic boundary layers are crucial in aerospace applications such as hypersonic glide vehicles, rockets, and other advanced space vehicles. Hypersonic flows present unique transport phenomena, ... read more here.

Keywords: modeling hypersonic; boundary layers; layers subject; turbulence modeling ... See more keywords
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Comparison of Turbulence Modeling for a Compressor Rotor at Different Tip Clearances

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recommendations! Published in 2021 at "AIAA Journal"

DOI: 10.2514/1.j060468

Abstract: Due to the high Reynolds numbers together with the complex turbulent motions in turbomachinery, selecting a proper turbulence-modeling method is of vital significance in interpreting the real flow ... read more here.

Keywords: turbulence; comparison turbulence; modeling compressor; rotor different ... See more keywords

Effectiveness of Three Turbulence Modeling Approaches in a Crosswind–Sedan–Dune Computational Fluid Dynamics Framework

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14177522

Abstract: The aerodynamic loads of a sedan experience significant fluctuations when passing by a sand dune at the roadside under crosswinds, which can easily cause yawing and overturning. Computational fluid dynamics (CFD) methods, based on different… read more here.

Keywords: turbulence modeling; field; modeling approaches; sand ... See more keywords