Relevant bibliographies by topics / Reynolds Stress Model (RSM)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Reynolds Stress Model (RSM)'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Reynolds Stress Model (RSM)"

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Yang, J. Y., and Y. Li. "Testing Reynolds stress model in solar interior." Proceedings of the International Astronomical Union 2, S239 (2006): 373–75. http://dx.doi.org/10.1017/s1743921307000750.

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AbstractThe Reynolds stress model (RSM) for turbulent convection motion is compared to the MLT in solar model. The free parameters involved in the RSM are also tested with the aid of helioseismology. It is found that, the structure of solar convection zone is differ from the MLT when using the RSM, especially for the Reynolds correlations and the temperature gradient. Both the local and non-local RSM can improve the calculated solar p-mode oscillation frequencies with the appropriate choice of the parameters' value.
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Canuto, V. M. "Theoretical modeling of convection II. Reynolds Stress Model." Proceedings of the International Astronomical Union 2, S239 (2006): 19–34. http://dx.doi.org/10.1017/s1743921307000063.

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AbstractThe Reynolds Stress Model (RSM) yields the dynamic equations for the second-order moments (e.g., heat fluxes) needed in the equations for the mean variables (e.g., mean temperature). The RSM equations are in general time dependent and non-local. We first discuss the “buoyancy only” case and the tests of the non-local model against a variety of data. We also “plumenize” the model in order to exhibit the up-down flows that characterize convection so as to show that a non-local RSM is fully equipped to account for the “plume aspect” of buoyant flows. Next, we extend the RSM to account for
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Im, Yong H., Kang Y. Huh, and Kwang-Yong Kim. "Analysis of Impinging and Countercurrent Stagnating Flows by Reynolds Stress Model." Journal of Fluids Engineering 124, no. 3 (2002): 706–18. http://dx.doi.org/10.1115/1.1493815.

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Numerical simulation is performed for stagnating turbulent flows of impinging and countercurrent jets by the Reynolds stress model (RSM). Results are compared with those of the k−ε model and available data to assess the flow characteristics and turbulence models. Three variants of the RSM tested are those of Gibson and Launder (GL), Craft and Launder (GL-CL) and Speziale, Sarkar and Gatski (SSG). As is well known, the k−ε model significantly overestimates turbulent kinetic energy near the wall. Although the RSM is superior to the k−ε model, it shows considerable difference according to how the
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Piirto, Mika, Aku Karvinen, Hannu Ahlstedt, Pentti Saarenrinne, and Reijo Karvinen. "PIV Measurements in Square Backward-Facing Step." Journal of Fluids Engineering 129, no. 8 (2007): 984–90. http://dx.doi.org/10.1115/1.2746896.

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Measurements with both two-dimensional (2D) two-component and three-component stereo particle image velocimetry (PIV) and computation in 2D and three-dimensional (3D) using Reynolds stress turbulence model with commercial code are carried out in a square duct backward-facing step (BFS) in a turbulent water flow at three Reynolds numbers of about 12,000, 21,000, and 55,000 based on the step height h and the inlet streamwise maximum mean velocity U0. The reattachment locations measured at a distance of Δy=0.0322h from the wall are 5.3h, 5.6h, and 5.7h, respectively. The inlet flow condition is f
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Jawarneh, Ali M., and Georgios H. Vatistas. "Reynolds Stress Model in the Prediction of Confined Turbulent Swirling Flows." Journal of Fluids Engineering 128, no. 6 (2006): 1377–82. http://dx.doi.org/10.1115/1.2354530.

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Strongly swirling vortex chamber flows are examined experimentally and numerically using the Reynolds stress model (RSM). The predictions are compared against the experimental data in terms of the pressure drop across the chamber, the axial and tangential velocity components, and the radial pressure profiles. The overall agreement between the measurements and the predictions is reasonable. The predictions provided by the numerical model show clearly the forced and free vortex modes of the tangential velocity profile. The reverse flow (or back flow) inside the core and near the outlet, known fr
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Matsuda, Satoshi, and Tokihiro Katsui. "Ship Flow of the Ryuko-maru Calculated by the Reynolds Stress Model Using the Roughness Function at the Full Scale." Journal of Marine Science and Engineering 12, no. 5 (2024): 783. http://dx.doi.org/10.3390/jmse12050783.

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The k-omega SST turbulence model is extensively employed in Reynolds-averaged Navier–Stokes (RANS)-based Computational Fluid Dynamics (CFD) calculations. However, the accuracy of the estimation of viscous resistance and companion flow distribution for full-sized vessels is not sufficient. This study conducted a computational analysis of the flow around the Ryuko-maru at model-scale and full-scale Reynolds numbers utilizing the Reynolds stress turbulence model (RSM). The obtained Reynolds stress distribution from the model-scale computation was compared against experimental measurements to asse
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Kosiak, Pavlo, Vitalii Yanovych, Václav Uruba, and Daniel Duda. "Numerical simulation of the flow topology over NREL’s S807 airfoil at different models of turbulence." EPJ Web of Conferences 299 (2024): 01020. http://dx.doi.org/10.1051/epjconf/202429901020.

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Current numerical simulations investigate subsonic flow around the NREL’s S807 airfoil without an incident angle at Reynolds numbers near 2.8∙105. This work is devoted to the assessment application of various turbulence models for a numerical simulation of the formed flow around the streamlined body in commercial software ANSYS CFX. Namely, we applied Shear Stress Transport fully turbulent model (SST0, Baseline Reynolds stress model (BSL RSM) and SSG RSM for the computation of velocity deficit, degree of turbulence anisotropy, Reynolds stress components, and aerodynamic performance of the airf
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Gibson, Lee, Lee Galloway, Sung in Kim, and Stephen Spence. "Assessment of turbulence model predictions for a centrifugal compressor simulation." Journal of the Global Power and Propulsion Society 1 (July 25, 2017): 2II890. http://dx.doi.org/10.22261/2ii890.

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Abstract Steady-state computational fluid dynamics (CFD) simulations are an essential tool in the design process of centrifugal compressors. Whilst global parameters, such as pressure ratio and efficiency, can be predicted with reasonable accuracy, the accurate prediction of detailed compressor flow fields is a much more significant challenge. Much of the inaccuracy is associated with the incorrect selection of turbulence model. The need for a quick turnaround in simulations during the design optimisation process also demands that the turbulence model selected be robust and numerically stable
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Meng, Shiqi, Xiaoheng Li, Xiaokang Yan, Lijun Wang, Haijun Zhang, and Yijun Cao. "Turbulence Models for Single Phase Flow Simulation of Cyclonic Flotation Columns." Minerals 9, no. 8 (2019): 464. http://dx.doi.org/10.3390/min9080464.

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Cyclonic fields are important for cyclonic static microbubble flotation columns (FCSMCs), one of the most important developments in column flotation technology, particularly for separation of fine particles, where the internal flow field has enormous influence on flotation performance. PIV (particle image velocimetry) and CFD (computational fluid dynamics) are the most effective methods to study flow fields. However, data is insufficient for FCSMC flow fields and similar cyclonic equipment, with turbulence model simulations producing different views to measured data. This paper employs an endo
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Wang. "Reynolds Stress Model for Viscoelastic Drag-Reducing Flow Induced by Polymer Solution." Polymers 11, no. 10 (2019): 1659. http://dx.doi.org/10.3390/polym11101659.

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Viscoelasticity drag-reducing flow by polymer solution can reduce pumping energy of pipe flow significantly. One of the simulation manners is direct numerical simulation (DNS). However, the computational time is too long to accept in engineering. Turbulent model is a powerful tool to solve engineering problems because of its fast computational ability. However, its precision is usually low. To solve this problem, we introduce DNS to provide accurate data to construct a high-precision turbulent model. A Reynolds stress model for viscoelastic polymer drag-reducing flow is established. The rheolo
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Dissertations / Theses on the topic "Reynolds Stress Model (RSM)"

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Illík, Jakub. "Analýza proudění kapaliny v otevřené válcové nádobě s hladinovým vírem." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-416451.

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This master's thesis analyses fluid flow in an open cylindrical tank with vortex using numerical simulation. The theoretical part introduces a set of equations governing fluid flow and relations used to describe vortex motion. A general overview of terms used in computational fluid dynamics is presented. The experimental section consists of three parts. The vortex modelling is performed using ANSYS Fluent software. Data are consequently analysed within ANSYS CFD-Post software tool. Special focus is put on the vortex shape that is fitted with a curve corresponding to a probability density funct
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Bosco, Arianna [Verfasser]. "Reynolds stress model for hypersonic flows / Arianna Bosco." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2011. http://d-nb.info/1014297168/34.

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Promvonge, Pongjet. "A numerical study of vortex tubes with an algebraic Reynolds stress model." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267288.

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Siow, Yeow-Khern. "A Reynolds-stress turbulence model in the KIVA code for engine simulation /." Available online. Click here, 2003. http://sunshine.lib.mtu.edu/ETD/DISS/siowy/thesis%5Fphd.pdf.

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Ball, Stephen. "Near wall flow characteristics in jet impingement heat transfer." Thesis, Nottingham Trent University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388866.

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Karlatiras, Georgios. "Development and application of an explicit Reynolds stress model with correct near wall behaviour." Thesis, King's College London (University of London), 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429493.

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MARTINS, VICTOR KAMINSKI. "SIMULATION OF A TURBULENT FLOW IN A SQUARE CROSS-SECTION, USING THE REYNOLDS STRESS MODEL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1994. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=18650@1.

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O modelo de duas equações K-E, largamente empregado na análise de escoamentos turbulentos, não é capaz de adequedamente modelar problemas que envolvam escoamentos secundários e com rotação em dutos, descolamento de camada-limite e outras situações em que a anisotropia inerente ao escoamento turbulento necessite ser levada em conta. Modelos mais complexos, que consideram esta anisotropia - os chamados modelos de tensões de Reynolds - são utilizados no intuito de produzir resultados numéricos mais próximos daqueles obtidos experimentalmente. O problema geometricamente simples, o escoamento turb
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Jiang, Min. "Computation of Reynolds stresses in axisymmetric vortices and jets using a second order closure model." Thesis, Virginia Tech, 1994. http://hdl.handle.net/10919/42135.

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Donaldson's single-point second-order model [13] is used to close the Reynolds stress transport equations in cylindrical coordinates. A reduced set of equations are then solved for the decay of axisymmetric vortices and jets. A self-similar solution to the axisymmetric vortices is obtained numerically. The characteristics of the mean flow variables as well as the Reynolds stresses in this solution are discussed. Comparisons of the current results with Donaldson[13J and Donaldson and Sullivan[16] are also presented. <p>The results show that the vortex core is free from turbulent shear stresses.
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Maduta, Robert [Verfasser], Cameron [Akademischer Betreuer] Tropea, Suad [Akademischer Betreuer] Jakirlić, and Amsini [Akademischer Betreuer] Sadiki. "An eddy-resolving Reynolds stress model for unsteady flow computations: development and application / Robert Maduta. Betreuer: Cameron Tropea ; Suad Jakirlic ; Amsini Sadiki." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2013. http://d-nb.info/1108094279/34.

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Wells, Jesse Buchanan. "Effects of Turbulence Modeling on RANS Simulations of Tip Vortices." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34343.

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The primary purpose of this thesis is to quantify the effects of RANS turbulence modeling on the resolution of free shear vortical flows. The simulation of aerodynamic wing-tip vortices is used as a test bed. The primary configuration is flow over an isolated finite wing with aspect ratio, , and Reynolds number, . Tip-vortex velocity profiles, vortex core and wake turbulence levels, and Reynolds stresses are compared with wind tunnel measurements. Three turbulence models for RANS closure are tested: the Lumley, Reece, and Rodi full Reynolds stress transport model and the Sparlart-Allmaras
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Books on the topic "Reynolds Stress Model (RSM)"

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Chiang, Chu, Lumley John L. 1930-, and United States. National Aeronautics and Space Administration., eds. A new Reynolds stress algebraic equation model. National Aeronautics and Space Administration, 1994.

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Jiang, Zhu, Lumley John L. 1930-, and United States. National Aeronautics and Space Administration., eds. A new Reynolds stress algebraic equation model. National Aeronautics and Space Administration, 1994.

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George, Vahala, Thangam S, and Langley Research Center, eds. Development of a recursion RNG-based turbulence model. National Aeronautics and Space Administration, Langley Research Center, 1993.

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George, Vahala, Thangam S, and Langley Research Center, eds. Development of a recursion RNG-based turbulence model. National Aeronautics and Space Administration, Langley Research Center, 1993.

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Amano, R. S. Improvement of the second- and third-moment modeling of turbulence: Semi-annual progress report on "A study of Reynolds-stress closure model". Dept. of Mechanical Engineering, University of Wisconsin - Milwaukee, 1986.

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Amano, Ryoichi. Improvement of the Reynolds-stress model by a new pressure-strain correlation: Status report. Dept. of Mechanical Engineering, University of Wisconsin, 1988.

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Sarkar, Sarben. Application of a Reynolds stress turbulence model to the compressible shear layer. National Aeronautics and Space Administration, Langley Research Center, 1990.

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Sarkar, Sutanu. Application of a Reynolds stress turbulence model to the compressible shear layer. Institute for Computer Applications in Science and Engineering, 1990.

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Warfield, Matthew J. Computation of turbulent rotating channel flow with an algebraic Reynolds stress model. AIAA, 1986.

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Davidson, Lars. Predicting stall of a two-dimensional airfoil using an algebraic Reynolds stress model. CERFACS, 1991.

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Book chapters on the topic "Reynolds Stress Model (RSM)"

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Ayuba, Nuhu, and Gabriela Cantarelli Lopes. "Investigation of the Influence of Turbulence Models on Cough Droplet Evaporation: Comparing (SST) k-Ω, k-ε, and Reynolds Stress (RSM) Turbulence Models." In Proceedings of the 7th Brazilian Technology Symposium (BTSym’21). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04435-9_15.

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Janicka, J., and W. Kollmann. "Reynolds-Stress Closure Model for Conditional Variables." In Turbulent Shear Flows 4. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-69996-2_6.

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Johansson, Arne V., and Stefan Wallin. "A New Explicit Algebraic Reynolds Stress Model." In Advances in Turbulence VI. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0297-8_8.

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Dewan, Anupam. "Reynolds-Stress and Scalar Flux Transport Model." In Tackling Turbulent Flows in Engineering. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14767-8_7.

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Rautaheimo, Patrik, Timo Siikonen, and Antti Hellsten. "Diagonalization of the Reynolds-averaged Navier-Stokes equations with the Reynolds-stress Turbulence Model." In Notes on Numerical Fluid Mechanics (NNFM). Vieweg+Teubner Verlag, 1996. http://dx.doi.org/10.1007/978-3-322-89838-8_32.

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Girimaji, Sharath S. "Development of Algebraic Reynolds Stress Model for Non-Equilibrium Turbulence." In ICASE/LaRC Interdisciplinary Series in Science and Engineering. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4724-8_9.

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Morsbach, Christian, Martin Franke, and Francesca di Mare. "Application of a Low Reynolds Differential Reynolds Stress Model to a Compressor Cascade Tip-Leakage Flow." In Springer Tracts in Mechanical Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15639-2_1.

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Eisfeld, Bernhard. "Numerical simulation of aerodynamic problems with a Reynolds stress turbulence model." In New Results in Numerical and Experimental Fluid Mechanics V. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-33287-9_51.

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Maduta, R., and S. Jakirlic. "An Eddy-Resolving Reynolds Stress Transport Model for Unsteady Flow Computations." In Progress in Hybrid RANS-LES Modelling. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31818-4_6.

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Ströer, Philip, and Tobias Knopp. "Curvature Correction for Turbulent Diffusion Inside a Differential Reynolds-Stress Model." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40482-5_44.

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Conference papers on the topic "Reynolds Stress Model (RSM)"

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Tanougast, Aimen, and Krisztián Hriczó. "Comparison of Turbulence Models in the Simulation of Fluid Flow in Corrugated Channel." In 10th International Scientific Conference on Advances in Mechanical Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-7sakva.

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Turbulence is a highly complex and challenging phenomenon to study, especially in the field of fluid dynamics, where many applications rely on accurate predictions of turbulent flow behavior. Due to its random and chaotic nature, turbulence is difficult to model precisely, but achieving reliable results is essential for solving numerous engineering problems. Various turbulence models, each with specific strengths and limitations, have been developed to address this challenge. This study focuses on comparing three widely used turbulence models (k−ϵ, k−ω, and the Reynolds Stress Model (RSM)) to
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Abouali, Omid, Goodarz Ahmadi, and Ataollah Rabiee. "Computational Simulation of Supersonic Flow Using Reynolds Stress Model." In ASME 2005 Fluids Engineering Division Summer Meeting. ASMEDC, 2005. http://dx.doi.org/10.1115/fedsm2005-77434.

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The case of a supersonic turbulent flows with Mach number 2.5 and Reynolds number 1.23×106 based on the diameter of after body, around a body with incidence angles of 14° was studied. The nose length was 3 times the diameter with a third degree polynomial variation, and total length of the body was 13 diameters. Reynolds Averaged Navier-Stokes Equation was solved using central differencing scheme. The Reynolds Stress Model was used to account for the effect of turbulence on the flow field. The experimental data consist of surface pressure measurement at six axial locations. The pressure distri
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Javadi, Aliyar, Khodayar Javadi, Mohamad Taeibi-Rahni, and Mohammad Reza Keimasi. "Reynolds Stress Turbulence Models for Prediction of Shear Stress Terms in Cross Flow Film Cooling — Numerical Simulation." In ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1586.

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Reynolds stress models are computationally more complex and time consuming but, have the potential of greater accuracy and wider applicability. Turbulent cross flows and film cooling have highly complex characteristics. In this work, we computationally simulated a three-dimensional, separated hole film cooling problem of flow over a flat plate, using Reynolds stress model (RSM) with wall function and zonal (κ-ε)/(κ-ω) turbulence model (shear stress transport model or SST). The Reynolds number of the jet was 4700. Our computational domain included the space above plate plus the film cooling jet
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Luo, Pengzhong, Yumeng Tang та Yangwei Liu. "Study of 𝝎-Based Reynolds Stress Model with Two-Component Limit for Predicting Complex Flows". У GPPS Chania24. GPPS, 2024. http://dx.doi.org/10.33737/gpps24-tc-156.

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The turbulence flow and boundary layer transition occurring in turbomachinery pose significant challenges in accurately predicting aerodynamic characteristics by the Reynolds-Averaged Navier-Stokes approach. The Reynolds stress model (RSM) operates at the second-moment level, providing potential improvements in predicting strong anisotropy and non-equilibrium turbulence. In this study, a new specific dissipation rate 𝜔-based RSM is developed, inspired by the Speziale-Sarkar-Gatski/Launder-Reece-Rodi (SSG/LRR-𝜔) RSM, which is widely used in the aviation industry. Utilizing a new blending functi
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Jiang, Lei-Yong, and Ian Campbell. "Turbulence Modeling in a Model Combustor." In ASME Turbo Expo 2005: Power for Land, Sea, and Air. ASMEDC, 2005. http://dx.doi.org/10.1115/gt2005-68403.

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The flow field of a propane-air diffusion flame combustor with interior and exterior conjugate heat transfers was numerically investigated. Solutions obtained from four turbulence models together with a laminar flamelet combustion model, discrete ordinates radiation model and enhanced wall treatment are presented and discussed. The numerical results are compared, in detail, with a comprehensive database obtained from a series of experimental measurements. It is found that the Reynolds stress model (RSM), a second moment closure, illustrates superior performance over three popular two-equation
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Jamal, Tausif, and D. Keith Walters. "Investigation of an Algebraic Reynolds Stress Model for Simulation of Wall-Bounded Turbulent Flows With and Without Buoyancy Effects." In ASME 2020 Fluids Engineering Division Summer Meeting collocated with the ASME 2020 Heat Transfer Summer Conference and the ASME 2020 18th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/fedsm2020-20354.

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Abstract Complex turbulent flows such as those encountered in nuclear reactor cooling systems pose considerable challenges for computational fluid dynamics (CFD) simulation using traditional Reynolds-averaged Navier-Stokes (RANS) models based on the linear eddy-viscosity modeling (LEVM) framework. One particular difficulty is the use of low Prandtl number (Pr) fluids such as liquid metal coolants, which considerably alters the fluctuating thermal field and violates the Reynolds analogy upon which turbulent heat flux modeling in LEVMs is based. Although previous studies have shown that Reynolds
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Beyhaghi, Saman, and Ryoichi S. Amano. "Analysis of Turbulent Flow Around Horizontal Axis Wind Turbines Using Algebraic Stress Model." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50686.

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Due to the problems associated with increase of greenhouse gases, and the limited supply of fossil fuels, switching to clean and renewable sources of energy seems necessary. Wind energy is a very suitable form of renewable energy which can be a good choice for those areas around the world with sufficient amount of wind annually. However, in order for the commercial wind turbines to be cost-effective, they need to operate at very high elevations, and therefore, blades with the length as high as 60–70 m are common. Because of the high manufacturing and transportation costs of the wind turbine co
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Izenson, Michael G., Mark R. Kennedy, and Janaki R. Sirukudi. "Turbulent Flow Computations for Turbine Disk Cavity Flows." In ASME 1995 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/95-gt-192.

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Computational Fluid Dynamics (CFD) plays a key role in the design of rim seals for gas turbines because of the detailed information it can provide about the complex flow in the seal region. However, the fidelity of the computed flow depends strongly on the techniques used to model turbulence. We have performed CFD calculations using several different turbulence models and compared the calculations with data from tests in a water rig at rotational Reynolds numbers of up to 6×105. Calculations were performed using the commercial CFD code, FLUENT™ 4.23 (Fluent, 1990). The turbulence models we use
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Smirnov, Pavel E., and Florian R. Menter. "Sensitization of the SST Turbulence Model to Rotation and Curvature by Applying the Spalart-Shur Correction Term." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50480.

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A rotation-curvature correction suggested earlier by Spalart and Shur for the one-equation Spalart-Allmaras turbulence model is adapted to the Shear Stress Transport model. This new version of the model (SST-CC) has been extensively tested on a wide range of both wall-bounded and free shear turbulent flows with system rotation and/or streamline curvature. Predictions of the SST-CC model are compared with available experimental and DNS data, on one hand, and with the corresponding results of the original SST model and advanced Reynolds stresses transport model (RSM), on the other hand. It is fo
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Jackson, Randall, and Ryoichi S. Amano. "Application of the Reynolds Stress Model to Direct Modeling and Actuator Disk Simulations of a Small-Scale Horizontal-Axis Wind Turbine." In ASME 2016 Fluids Engineering Division Summer Meeting collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fedsm2016-7595.

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Computational Fluid Dynamics (CFD) has become a staple in wind energy research and studies cover a broad range of topics including atmospheric wind profiles, airfoil design, wind turbine design, terrain effects, and wake dynamics. One of the most important aspects of applying CFD methods is the selection of a turbulence closure model when solving the Reynolds Averaged Navier-Stokes (RANS) equations. In this research, the Reynolds Stress Model (RSM) was applied to predict the wake turbulence and velocity profiles for a small scale, 3-bladed, horizontal-axis wind turbine (HAWT) using a commercia
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Reports on the topic "Reynolds Stress Model (RSM)"

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Chang, F. C., and M. Bottoni. Implementation and validation of a Reynolds stress model in the COMMIX-1C/RSM and CAPS-3D/RSM codes. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/266682.

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Bhushan, Shanti, Greg Burgreen, Wesley Brewer, and Ian Dettwiller. Assessment of neural network augmented Reynolds averaged Navier Stokes turbulence model in extrapolation modes. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49702.

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A machine-learned model enhances the accuracy of turbulence transport equations of RANS solver and applied for periodic hill test case. The accuracy is investigated in extrapolation modes. A parametric study is also performed to understand the effect of network hyperparameters on training and model accuracy and to quantify the uncertainty in model accuracy due to the non-deterministic nature of the neural network training. For any network, less than optimal mini-batch size results in overfitting, and larger than optimal reduces accuracy. Data clustering is an efficient approach to prevent the
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Pullammanappallil, Pratap, Haim Kalman, and Jennifer Curtis. Investigation of particulate flow behavior in a continuous, high solids, leach-bed biogasification system. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7600038.bard.

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Recent concerns regarding global warming and energy security have accelerated research and developmental efforts to produce biofuels from agricultural and forestry residues, and energy crops. Anaerobic digestion is a promising process for producing biogas-biofuel from biomass feedstocks. However, there is a need for new reactor designs and operating considerations to process fibrous biomass feedstocks. In this research project, the multiphase flow behavior of biomass particles was investigated. The objective was accomplished through both simulation and experimentation. The simulations included
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