Bibliografías temáticas / Flow Reynolds number

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Literatura académica sobre el tema "Flow Reynolds number"

Autor: Grafiati
Publicado: 3 de junio de 2025
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Flow Reynolds number"

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Matsunuma, Takayuki, and Yasukata Tsutsui. "Effects of Low Reynolds Number on Wake-Generated Unsteady Flow of an Axial-Flow Turbine Rotor." International Journal of Rotating Machinery 2005, no. 1 (2005): 1–15. http://dx.doi.org/10.1155/ijrm.2005.1.

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The unsteady flow field downstream of axial-flow turbine rotors at low Reynolds numbers was investigated experimentally using hot-wire probes. Reynolds number, based on rotor exit velocity and rotor chord lengthReout,RT, was varied from3.2×104to12.8×104at intervals of1.0×104by changing the flow velocity of the wind tunnel. The time-averaged and time-dependent distributions of velocity and turbulence intensity were analyzed to determine the effect of Reynolds number. The reduction of Reynolds number had a marked influence on the turbine flow field. The regions of high turbulence intensity due t
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Shen, C., and J. M. Floryan. "Low Reynolds number flow over cavities." Physics of Fluids 28, no. 11 (1985): 3191. http://dx.doi.org/10.1063/1.865366.

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Rehm, Thomas R. "Low Reynolds Number Flow Heat Exchangers." Nuclear Technology 73, no. 1 (1986): 129–30. http://dx.doi.org/10.13182/nt86-a16213.

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Katz, J. I. "Subsuns and Low Reynolds Number Flow." Journal of the Atmospheric Sciences 55, no. 22 (1998): 3358–62. http://dx.doi.org/10.1175/1520-0469(1998)055<3358:salrnf>2.0.co;2.

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Dsouza, Brian, Andrea Sciacchitano, and W. Yu. "Reynolds Number Independence In An Urban Street Canyon Using 3D Robotic Particle Tracking Velocimetry." Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 21 (July 8, 2024): 1–14. http://dx.doi.org/10.55037/lxlaser.21st.171.

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The Reynolds number in an Urban Street Canyon is a difficult parameter to match between reduced-scale experiments and full-scale measurements. It is possible to overcome this mismatch in Reynolds numbers by satisfying the Reynolds number independence criterion, which states that above a certain critical Reynolds number, the flow field remains invariant with increasing Reynolds numbers. For an urban canyon with an aspect ratio 1, this critical Reynolds number is often reported to be 12000 for the mean flow quantities. This critical Reynolds number, however, is not applicable for higher-order qu
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Yamada, Shunsuke, Hirotatsu Sagawa, Shinsuke Okamoto, and Shinji Honami. "A Behavior of Backward Facing Step Flow in Low Reynolds Number(Swirling Flow and Separation)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 709–14. http://dx.doi.org/10.1299/jsmeicjwsf.2005.709.

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WILLIAMSON, N., N. SRINARAYANA, S. W. ARMFIELD, G. D. McBAIN, and W. LIN. "Low-Reynolds-number fountain behaviour." Journal of Fluid Mechanics 608 (July 11, 2008): 297–317. http://dx.doi.org/10.1017/s0022112008002310.

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Experimental evidence for previously unreported fountain behaviour is presented. It has been found that the first unstable mode of a three-dimensional round fountain is a laminar flapping motion that can grow to a circling or multimodal flapping motion. With increasing Froude and Reynolds numbers, fountain behaviour becomes more disorderly, exhibiting a laminar bobbing motion. The transition between steady behaviour, the initial flapping modes and the laminar bobbing flow can be approximately described by a function FrRe2/3=C. The transition to turbulence occurs at Re &gt; 120, independent of
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8

ZAGAROLA, MARK V., and ALEXANDER J. SMITS. "Mean-flow scaling of turbulent pipe flow." Journal of Fluid Mechanics 373 (October 25, 1998): 33–79. http://dx.doi.org/10.1017/s0022112098002419.

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Measurements of the mean velocity profile and pressure drop were performed in a fully developed, smooth pipe flow for Reynolds numbers from 31×103 to 35×106. Analysis of the mean velocity profiles indicates two overlap regions: a power law for 60&lt;y+&lt;500 or y+&lt;0.15R+, the outer limit depending on whether the Kármán number R+ is greater or less than 9×103; and a log law for 600&lt;y+&lt;0.07R+. The log law is only evident if the Reynolds number is greater than approximately 400×103 (R+&gt;9×103). Von Kármán's constant was shown to be 0.436 which is consistent with the friction factor da
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Funaki, Jiro, Motohide Hisada, and Katsuya Hirata. "Aspect-Ratio and Reynolds-number Effect On Cross-Flow Impellers(Fluid Machinery)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 507–12. http://dx.doi.org/10.1299/jsmeicjwsf.2005.507.

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Salac, David, and Michael J. Miksis. "Reynolds number effects on lipid vesicles." Journal of Fluid Mechanics 711 (August 31, 2012): 122–46. http://dx.doi.org/10.1017/jfm.2012.380.

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AbstractVesicles exposed to the human circulatory system experience a wide range of flows and Reynolds numbers. Previous investigations of vesicles in fluid flow have focused on the Stokes flow regime. In this work the influence of inertia on the dynamics of a vesicle in a shearing flow is investigated using a novel level-set computational method in two dimensions. A detailed analysis of the behaviour of a single vesicle at finite Reynolds number is presented. At low Reynolds numbers the results recover vesicle behaviour previously observed for Stokes flow. At moderate Reynolds numbers the cla
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Tesis sobre el tema "Flow Reynolds number"

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Srinivasa, Murthy P. "Low Reynolds Number Airfoil Aerodynamics." Thesis, Indian Institute of Science, 2000. https://etd.iisc.ac.in/handle/2005/229.

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In this thesis we describe the development of Reynolds- averaged Navier Stokes code for the flow past two- dimensional configuration. Particularly, emphasis has been laid on the study of low Reynolds number airfoil aerodynamics. The thesis consists of five chapters covering the back ground history, problem formulation, method of solution and discussion of the results and conclusion. Chapter I deals with a detailed background history of low Reynolds number aerodynamics, problem associated with it, state of the art, its importance in practical applications in aircraft industries. Chapte
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Srinivasa, Murthy P. "Low Reynolds Number Airfoil Aerodynamics." Thesis, Indian Institute of Science, 2000. http://hdl.handle.net/2005/229.

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In this thesis we describe the development of Reynolds- averaged Navier Stokes code for the flow past two- dimensional configuration. Particularly, emphasis has been laid on the study of low Reynolds number airfoil aerodynamics. The thesis consists of five chapters covering the back ground history, problem formulation, method of solution and discussion of the results and conclusion. Chapter I deals with a detailed background history of low Reynolds number aerodynamics, problem associated with it, state of the art, its importance in practical applications in aircraft industries. Chapter II d
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Erm, Lincoln. "Low-Reynolds-number turbulent boundary layers /." Connect to thesis, 1988. http://eprints.unimelb.edu.au/archive/00000226.

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Guneratne, Julie Clare. "High Reynolds number flow in a collapsible channel." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340767.

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Benson, John D. "Transition to a time periodic flow in a through-flow lid-driven cavity." Thesis, Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/18179.

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Kirby, Simon. "High Reynolds number flow : past configurations of multiple blades." Thesis, University of East Anglia, 2010. https://ueaeprints.uea.ac.uk/19105/.

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Davenport, W. J. "Separation bubbles at high Reynolds number : measurement and computation." Thesis, University of Cambridge, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.232788.

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Lim, Choon Peng. "Experimental investigation of vortex shedding in high Reynolds number flow over compressor blades in cascade." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FLim.pdf.

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Thesis (M.S. in Aeronautical Engineering)--Naval Postgraduate School, March 2003.<br>Thesis advisor(s): Garth V. Hobson, Raymond P. Shreeve. Includes bibliographical references (p. 81-82). Also available online.
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Tang, Tongdar Danny. "Periodic flow in a bifurcating tube at moderate reynolds number." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/17066.

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Cutter, Matthew R. "Dispersion in Steady Pipe Flow with Reynolds Number Under 10,000." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1093008636.

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Libros sobre el tema "Flow Reynolds number"

1

Elsenaar, A. Reynolds number effects in transonic flow. AGARD, 1988.

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Whalen, Margaret V. Low Reynolds number nozzle flow study. National Aeronautics and Space Administration, 1987.

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Kohr, Mirela. Viscous incompressible flow for low Reynolds numbers. WIT, 2004.

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Sandborn, Virgil A. Evaluation of high reynolds number flow in a 180 degree turn-around duct. National Aeronautics and Space Administration, 1991.

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J, Yoo G., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. On the modeling of low-Reynolds-number turbulence. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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J, Yoo G., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. On the modeling of low-Reynolds-number turbulence. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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So, Ronald M. C. On the modeling of low-Reynolds-number turbulence. Lewis Research Center, 1986.

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L, Streett Craig, and Langley Research Center, eds. A finite Reynolds number approach for the prediction of boundary layer receptivity in localized regions. National Aeronautics and Space Administration, Langley Research Center, 1991.

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Choudhari, Meelan. A finite Reynolds number approach for the prediction of boundary layer receptivity in localized regions. National Aeronautics and Space Administration, Langley Research Center, 1991.

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United States. National Aeronautics and Space Administration., ed. A finite element computational method for high Reynolds number laminar flows. National Aeronautics and Space Administration, 1987.

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Capítulos de libros sobre el tema "Flow Reynolds number"

1

Pozrikidis, C. "High-Reynolds-number flow." In Fluid Dynamics. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7991-9_10.

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Pozrikidis, C. "Low-Reynolds-number flow." In Fluid Dynamics. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7991-9_9.

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Pozrikidis, Constantine. "High Reynolds Number Flow." In Fluid Dynamics. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-95871-2_10.

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Pozrikidis, Constantine. "Low Reynolds Number Flow." In Fluid Dynamics. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-95871-2_9.

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Lauchle, Gerald C., Michael L. Billet, and Steven Deutsch. "High-Reynolds Number Liquid Flow Measurements." In Lecture Notes in Engineering. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83831-6_3.

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Segawa, T., M. Sano, A. Naert, and J. A. Glazier. "High Rayleigh Number Turbulence of a Low Prandtl Number Fluid." In Flow at Ultra-High Reynolds and Rayleigh Numbers. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-2230-9_16.

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Weinstein, Leonard M. "Flow Visualization." In High Reynolds Number Flows Using Liquid and Gaseous Helium. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3108-0_5.

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Wagner, C., and R. Friedrich. "Reynolds stress budgets of low Reynolds number pipe expansion flow." In Advances in Turbulence VI. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0297-8_13.

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Brewer, Wesley H., Stuart D. Jessup, and Young T. Shen. "Reynolds Number Scaling of Leakage Vortex Flow." In IUTAM Symposium on Reynolds Number Scaling in Turbulent Flow. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-007-0997-3_53.

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Kuwahara, Kunio. "Development of High-Reynolds-Number-Flow Computaion." In Lecture Notes in Engineering. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82908-6_3.

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Actas de conferencias sobre el tema "Flow Reynolds number"

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TENG, YOUNGGUANG, and HANS-ULRICH MEIER. "Artificial transition - A tool for high Reynolds number simulation?" In 3rd Shear Flow Conference. American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-3258.

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Thake, Michael, Nathan Packard, Carlos Bonilla, and Jeffrey Bons. "Low Reynolds Number Laminar Airfoil with Active Flow Control." In 5th Flow Control Conference. American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-4579.

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ANDERS, J. "LEBU drag reduction in high Reynolds number boundary layers." In 2nd Shear Flow Conference. American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1011.

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Brehm, Christoph, Steffen Mack, Andreas Gross, and Hermann Fasel. "Investigations of an Airfoil at Low Reynolds Number Conditions." In 4th Flow Control Conference. American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-3765.

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Schultz, Michael P., and Karen A. Flack. "REYNOLDS-NUMBER SCALING OF TURBULENT CHANNEL FLOW." In Eighth International Symposium on Turbulence and Shear Flow Phenomena. Begellhouse, 2013. http://dx.doi.org/10.1615/tsfp8.660.

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Joshy, Melvin C., Jyothiss C, Jonathan C. Jacob, and Jayadevan P. C. "LOW REYNOLDS NUMBER FLOW THROUGH MICROCHANNELS." In 9th Thermal and Fluids Engineering Conference (TFEC). Begellhouse, 2024. http://dx.doi.org/10.1615/tfec2024.nmf.050498.

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Grager, Travis, Alric Rothmayer, Wade Huebsch, and Hui Hu. "Low Reynolds Number Airfoil Stall Suppression with Dynamic Roughness." In 6th AIAA Flow Control Conference. American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-2681.

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Marusic, Ivan, Nicholas Hutchins, and Romain Mathis. "High Reynolds number effects in wall turbulence." In Sixth International Symposium on Turbulence and Shear Flow Phenomena. Begellhouse, 2009. http://dx.doi.org/10.1615/tsfp6.1590.

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Vedula, Keshav, Baki Cetegen, Joshua Madore, and Michelle Bellinger. "Biomimetic Tubercle Leading-Edge Airfoils in Transitional Reynolds Number Regime." In 2018 Flow Control Conference. American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-4250.

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Bagherpour, Ali, and A. Gordon L. Holloway. "DROPLET TRANSPORT IN HIGH REYNOLDS NUMBER WAKE FLOW." In Seventh International Symposium on Turbulence and Shear Flow Phenomena. Begellhouse, 2011. http://dx.doi.org/10.1615/tsfp7.2290.

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Informes sobre el tema "Flow Reynolds number"

1

Knight, Doyle D., and Hadassah Naiman. Towards High-Reynolds Number Quiet Flow in Hypersonic Tunnels. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada498212.

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Schneider, Steven P. Towards High-Reynolds-Number Quiet Flow in Hypersonic Wind Tunnels. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada500049.

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Bianchi, J. Christopher. Velocity measurements of low Reynolds number tube flow using fiber-optic technology. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10140118.

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Bianchi, J. C. Velocity measurements of low Reynolds number tube flow using fiber-optic technology. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/6625783.

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Ayoul-Guilmard, Q., S. Ganesh, M. Nuñez, et al. D5.3 Report on theoretical work to allow the use of MLMC with adaptive mesh refinement. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.002.

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This documents describes several studies undertaken to assess the applicability of MultiLevel Monte Carlo (MLMC) methods to problems of interest; namely in turbulent fluid flow over civil engineering structures. Several numerical experiments are presented wherein the convergence of quantities of interest with mesh parameters are studied at different Reynolds’ numbers and geometries. It was found that MLMC methods could be used successfully for low Reynolds’ number flows when combined with appropriate Adaptive Mesh Refinement (AMR) strategies. However, the hypotheses for optimal MLMC performanc
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Bettin, Giorgia. Evaluation of Computational Method of High Reynolds Number Slurry Flow for Caverns Backfilling. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1179537.

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Rui Shi, Davide Wüthrich, and Hubert Chanson. Intrusive and Non-intrusive Air-water Flow Measurements in Breaking Jumps at Low Froude Number and Large Reynolds Number. The University of Queensland, 2021. http://dx.doi.org/10.14264/4a0c07f.

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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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Ayoul-Guilmard, Q., S. Ganesh, M. Nuñez, et al. D5.4 Report on MLMC for time dependent problems. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.005.

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In this report, we study the use of Multi-Level Monte Carlo (MLMC) methods for time dependent problems. It was found that the usability of MLMC methods depends strongly on whether or not the underlying time dependent problem is chaotic in nature. Numerical experiments are conducted on both simple problems, as well as fluid flow problems of practical interest to the ExaQUte project, to demonstrate this. For the non-chaotic cases, the hypotheses that enable the use of MLMC methods were found to be satisfied. For the chaotic cases, especially the case of high Reynolds’ number fluid flow, the hypo
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Bandyopadhyay, P. R., and M. Gad-el-Hak. Reynolds Number Effects in Wall-Bounded Turbulent Flows. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada637054.

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