2024
DOI: 10.5802/crmeca.114
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Turbulence modeling and simulation advances in CFD during the past 50 years

Abstract: This paper is a short retrospective review of the predictive methods of turbulent flows in Computational Fluid Dynamics over the last 50 years since the first development of computers. The different schools of turbulence modeling are presented with the aim to guide both users and researchers involved in numerical simulation of turbulent flows.

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Cited by 5 publications
(8 citation statements)
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“…This high resolution DNS database can also be used to validate subgrid turbulence models used in LES and hybrid RANS/LES methodologies keeping in mind, however, that instead of RANS, LES usually depends on the grid spacings (Lesieur & Métais 1996; Meneveau & Katz 2000; Chaouat 2017 b ; Schiestel & Chaouat 2022). Strictly speaking, the RANS and LES motion equations take exactly the same mathematical form if we assume that the commutation terms arising from the filtering operation are negligible; the difference relies only on the closure of equations (Chaouat 2017 a , b ).…”
Section: Modelling Of the Passive Scalar Transport Equationsmentioning
confidence: 99%
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“…This high resolution DNS database can also be used to validate subgrid turbulence models used in LES and hybrid RANS/LES methodologies keeping in mind, however, that instead of RANS, LES usually depends on the grid spacings (Lesieur & Métais 1996; Meneveau & Katz 2000; Chaouat 2017 b ; Schiestel & Chaouat 2022). Strictly speaking, the RANS and LES motion equations take exactly the same mathematical form if we assume that the commutation terms arising from the filtering operation are negligible; the difference relies only on the closure of equations (Chaouat 2017 a , b ).…”
Section: Modelling Of the Passive Scalar Transport Equationsmentioning
confidence: 99%
“…Direct numerical simulation (DNS) development began with the pioneering work of the Stanford team with the investigation of the fully developed turbulent flow in a plane channel (Kim, Moin & Moser 1987) for the Reynolds number based on the friction velocity , half-channel width and dynamic viscosity , and is now a very valuable tool (Lee & Moser 2015; Paul, Papadakis & Vassilicos 2018) thanks to the rapid increase of super-computer power as well as the development of computational techniques including vectorization and parallelization (Schiestel & Chaouat 2022). Numerical simulations of turbulent flows are useful also in this framework of heat transfer for determining the thermal flow characteristics.…”
Section: Introductionmentioning
confidence: 99%
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“…CFD is particularly useful for understanding complex fluid phenomena such as turbulence, which is a fundamental aspect of many fluid systems. By using numerical methods to solve the Navier-Stokes equations, CFD simulations can provide insights into the behavior of fluids that are difficult to study experimentally [20]. CFD has become a vital tool for engineers and scientists to design and optimize complex fluid systems, and it continues to be an active area of research and development.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, most of the practical flows targeted by industrials involve turbulence whose effects strongly impact drag predictions or the noise radiated by aircraft. This led to the development of the Reynolds Averaged Navier-Stokes (RANS) formulation which remains the current workhorse of the aerospace industry owing to its low computational cost and high robustness [1]. However, in the context of a growing demand for greener aircraft and environment preservation, new industrial needs in aerodynamics and aeroacoustics require the prediction of three-dimensional unsteady turbulent flows around complex and detailed geometries for which the RANS approach is defective.…”
Section: Introductionmentioning
confidence: 99%