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Статті в журналах з теми "Anisotropic turbulence models":
Nazarov, F. Kh. "Comparing Turbulence Models for Swirling Flows." Herald of the Bauman Moscow State Technical University. Series Natural Sciences, no. 2 (95) (April 2021): 25–36. http://dx.doi.org/10.18698/1812-3368-2021-2-25-36.
CUI, G. X., C. X. XU, L. FANG, L. SHAO, and Z. S. ZHANG. "A new subgrid eddy-viscosity model for large-eddy simulation of anisotropic turbulence." Journal of Fluid Mechanics 582 (June 14, 2007): 377–97. http://dx.doi.org/10.1017/s002211200700599x.
Barbi, G., A. Chierici, V. Giovacchini, F. Quarta, and S. Manservisi. "Numerical simulation of a low Prandtl number flow over a backward facing step with an anisotropic four-equation turbulence model." Journal of Physics: Conference Series 2177, no. 1 (April 1, 2022): 012006. http://dx.doi.org/10.1088/1742-6596/2177/1/012006.
Chang, Ning, Zelong Yuan, Yunpeng Wang, and Jianchun Wang. "The effect of filter anisotropy on the large eddy simulation of turbulence." Physics of Fluids 35, no. 3 (March 2023): 035134. http://dx.doi.org/10.1063/5.0142643.
Faragó, Dávid, and Péter Bencs. "Measurement of turbulence properties." Analecta Technica Szegedinensia 14, no. 1 (June 8, 2020): 67–75. http://dx.doi.org/10.14232/analecta.2020.1.67-75.
Cui, Linyan. "Atmosphere turbulence MTF models in moderate-to-strong anisotropic turbulence." Optik 130 (February 2017): 68–75. http://dx.doi.org/10.1016/j.ijleo.2016.11.012.
DEN TOONDER, J. M. J., M. A. HULSEN, G. D. C. KUIKEN, and F. T. M. NIEUWSTADT. "Drag reduction by polymer additives in a turbulent pipe flow: numerical and laboratory experiments." Journal of Fluid Mechanics 337 (April 25, 1997): 193–231. http://dx.doi.org/10.1017/s0022112097004850.
Cambon, Claude, and Julian F. Scott. "LINEAR AND NONLINEAR MODELS OF ANISOTROPIC TURBULENCE." Annual Review of Fluid Mechanics 31, no. 1 (January 1999): 1–53. http://dx.doi.org/10.1146/annurev.fluid.31.1.1.
Hocking, W. K., and J. Röttger. "The structure of turbulence in the middle and lower atmosphere seen by and deduced from MF, HF and VHF radar, with special emphasis on small-scale features and anisotropy." Annales Geophysicae 19, no. 8 (August 31, 2001): 933–44. http://dx.doi.org/10.5194/angeo-19-933-2001.
Myong, Hyon Kook, та Toshio Kobayashi. "Prediction of Three-Dimensional Developing Turbulent Flow in a Square Duct With an Anisotropic Low-Reynolds-Number k-ε Model". Journal of Fluids Engineering 113, № 4 (1 грудня 1991): 608–15. http://dx.doi.org/10.1115/1.2926523.
Дисертації з теми "Anisotropic turbulence models":
Wall, Dylan Joseph. "Anisotropic Turbulence Models for Wakes in an Active Ocean Environment." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/104162.
Doctor of Philosophy
A set of advanced turbulence models are implemented and used to study ship wakes in an oceanic environment. The flows in the ocean are subject to a density stratification due to changes in temperature and salinity; the associated effects are included in the turbulence models. The models are validated against laboratory experiments mimicking the stratified ocean environment, and against previous experimental study of wakes subjected to a density stratification. The turbulence models are found to reproduce a number of important behaviors expected under such conditions based on experimental study. Additional modifications are made to the models to include the effect of pre-existing freestream turbulence. Wakes are then simulated under conditions representative of full-scale vehicles operating in an ocean environment. The models are used to make some general predictions concerning late-wake behavior. Specific insights into expected behavior are gained. The wake turbulence is classified using ``fossil turbulence'' and stratification strength criteria from the literature. In keeping with experimentally observed behavior, the stratification is predicted to increase wake persistence. Additional model improvements are proposed based on the predicted late wake behavior.
Alam, Boulos. "Modélisation numérique de la turbulence et de la dispersion atmosphérique par faibles vents en milieu urbain." Electronic Thesis or Diss., université Paris-Saclay, 2023. https://www.biblio.univ-evry.fr/theses/2023/interne/2023UPAST179.pdf.
This thesis is situated in the context of atmospheric dispersion modeling, particularly in the presence of low winds. Atmospheric pollution sources, often located near the ground and influenced by complex obstacles, generate high concentrations of pollutants nearby, resulting in significant concentration fluctuations. Low winds, typically associated with stable atmospheric conditions, pose a specific challenge in modeling pollutant dispersion, requiring a thorough analysis of meteorological data and adaptation of prediction models. To address this complex challenge, the use of Computational Fluid Dynamics (CFD) is necessary, although further research is needed to validate its effectiveness in the near-field and in the presence of low winds. The Code_Saturne® software (EDF R&D) is selected due to its proven efficiency in simulating atmospheric pollutant dispersion. This thesis is divided into three distinct phases : the first phase focuses on the fundamentals of atmospheric dispersion, exploring the impact of various parameters such as the atmospheric boundary layer structure, atmospheric turbulence, and atmospheric stability. These elements play a crucial role in how pollutants disperse in the air. The second phase details the methodology used in Code_Saturne for conducting simulations, including the turbulence models employed and the criteria for evaluating these models. In addition to traditional isotropic models, this research investigates the use of anisotropic turbulence models to study dispersion in various contexts. The third phase of the thesis concentrates on the evaluation of different turbulence models and velocity-scalar correlations using observations conducted in urban environments under neutral and stable atmospheric conditions. Finally, the last phase of the research explores conditions of low and stable winds, typically characterized by wind speeds below 2 m/s and random wind variations. This phase examines the meandering patterns in pollutant dispersion and assesses the limitations of analytical and CFD models in predicting concentration in such conditions. To this end, a URANS model is developed and evaluated. Ultimately, a segmented Gaussian method is devised to compare the results with CFD predictions and field observations
Bose, Jyoti Sankar. "Modeling turbulence anisotropy using algebraic Reynolds stress models." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq22277.pdf.
Campana, Lorenzo. "Modélisation stochastique de particules non sphériques en turbulence." Thesis, Université Côte d'Azur, 2022. http://www.theses.fr/2022COAZ4019.
The motion of small non- spherical particles suspended in a turbulent flow is relevant for a large variety of natural and industrial applications such as aerosol dynamics in respiration, red blood cells motion, plankton dynamics, ice in clouds, combustion, to name a few. Anisotropic particles react on turbulent flows in complex ways, which depend on a wide range of parameters (shape, inertia, fluid shear). Inertia-free particles, with size smaller than the Kolmogorov length, follow the fluid motion with an orientation generally defined by the local turbulent velocity gradient. Therefore, this thesis is focused on the dynamics of these objects in turbulence exploiting stochastic Lagrangian methods. The development of a model that can be used as predictive tool in industrial computational fluid dynamics (CFD) is highly valuable for practical applications in engineering. Models that reach an acceptable compromise between simplicity and accuracy are needed for progressing in the field of medical, environmental and industrial processes. The formulation of a stochastic orientation model is studied in two-dimensional turbulent flow with homogeneous shear, where results are compared with direct numerical simulations (DNS). Finding analytical results, scrutinising the effect of the anisotropies when they are included in the model, and extending the notion of rotational dynamics in the stochastic framework, are subjects addressed in our work. Analytical results give a reasonable qualitative response, even if the diffusion model is not designed to reproduce the non-Gaussian features of the DNS experiments. The extension to the three-dimensional case showed that the implementation of efficient numerical schemes in 3D models is far from straightforward. The introduction of a numerical scheme with the capability to preserve the dynamics at reasonable computational costs has been devised and the convergence analysed. A scheme of splitting decomposition of the stochastic differential equations (SDE) has been developed to overcome the typical instability problems of the Euler–Maruyama method, obtaining a mean-square convergence of order 1/2 and a weakly convergence of order 1, as expected. Finally, model and numerical scheme have been implemented in an industrial CFD code (Code_Saturne) and used to study the orientational and rotational behaviour of anisotropic inertia-free particles in an applicative prototype of inhomogeneous turbulence, i.e. a turbulent channel flow. This real application has faced two issues of the modelling: the numerical implementation in an industrial code, and whether and to which extent the model is able to reproduce the DNS experiments. The stochastic Lagrangian model for the orientation in the CFD code reproduces with some limits the orientation and rotation statistics of the DNS. The results of this study allows to predict the orientation and rotation of aspherical particles, giving new insight into the prediction of large scale motions both, in two-dimensional space, of interest for geophysical flows, and in three-dimensional industrial applications
Terentiev, Leonid. "The turbulence closure model based on linear anisotropy invariant analysis." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=979794781.
Lamriben, Cyril. "Transferts anisotropes d'énergie en turbulence en rotation et excitation de modes d'inertie." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00734192.
Jeong, Eun-Hwan. "Selected problems in turbulence theory and modeling." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/523.
Hamilton, Nicholas Michael. "Anisotropy of the Reynolds Stress Tensor in the Wakes of Counter-Rotating Wind Turbine Arrays." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1848.
Rasam, Amin. "Anisotropy-resolving subgrid-scale modelling using explicit algebraic closures for large eddy simulation." Doctoral thesis, KTH, Turbulens, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142401.
QC 20140304
Explicit algebraic sub-grid scale modelling for large-eddy simulations
Hamilton, Nicholas Michael. "Wake Character in the Wind Turbine Array: (Dis-)Organization, Spatial and Dynamic Evolution and Low-dimensional Modeling." PDXScholar, 2016. http://pdxscholar.library.pdx.edu/open_access_etds/3084.
Книги з теми "Anisotropic turbulence models":
L, Machiels, Gatski T. B, and Langley Research Center, eds. Predicting nonInertial effects with algebraic stress models which account for dissipation rate anisotropies. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.
L, Machiels, Gatski T. B, and Langley Research Center, eds. Predicting nonInertial effects with algebraic stress models which account for dissipation rate anisotropies. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.
Sagaut, Pierre. Homogeneous turbulence dynamics. Cambridge: Cambridge University Press, 2008.
Trevino, G. Structure of wind-shear turbulence. Hampton, Va: Langley Research Center, 1989.
R, Laituri Tony, and United States. National Aeronautics and Space Administration., eds. Structure of wind-shear turbulence. [Washington, DC]: [National Aeronautics and Space Administration, 1988.
R, Laituri Tony, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Structure of wind-shear turbulence. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.
R, Laituri Tony, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Structure of wind-shear turbulence. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.
R, Laituri Tony, and United States. National Aeronautics and Space Administration., eds. Structure of wind-shear turbulence. [Washington, DC]: [National Aeronautics and Space Administration, 1988.
Chu, Chiang. Calculations of diffuser flows with an anisotropic K-[epsilon] model. [Washington, DC]: National Aeronautics and Space Administration, 1995.
Zhu, Jiang. Calculations of diffuser flows with an anisotropic K-[epsilon] model. [Washington, DC]: National Aeronautics and Space Administration, 1995.
Частини книг з теми "Anisotropic turbulence models":
Hallbäck, M., J. Groth, and A. V. Johansson. "Anisotropic Dissipation Rate — Implications for Reynolds Stress Models." In Advances in Turbulence 3, 414–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84399-0_45.
Aupoix, B. "Subgrid Scale Models for Homogeneous Anisotropic Turbulence." In Direct and Large Eddy Simulation of Turbulence, 37–66. Wiesbaden: Vieweg+Teubner Verlag, 1986. http://dx.doi.org/10.1007/978-3-663-00197-3_3.
Deville, Michel O. "Turbulence." In An Introduction to the Mechanics of Incompressible Fluids, 211–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04683-4_9.
Godeferd, Fabien S., Alexandre Delache, and Claude Cambon. "Toroidal/Poloidal Modes Dynamics in Anisotropic Turbulence." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 151–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14139-3_18.
Könözsy, László. "The Anisotropic Hybrid k-$$\omega $$ SST/Stochastic Turbulence Model." In A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows, 115–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60603-9_2.
Godeferd, Fabien, Lukas Liechtenstein, Claude Cambon, Julian Scott, and Benjamin Favier. "A Model for the Far-Field Anisotropic Acoustic Emission of Rotating Turbulence." In IUTAM Symposium on Computational Physics and New Perspectives in Turbulence, 297–302. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6472-2_46.
Könözsy, László. "The k- $$\omega $$ ω Shear-Stress Transport (SST) Turbulence Model." In A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows, 57–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13543-0_3.
Könözsy, László. "Implementation of the Anisotropic Hybrid k-$$\omega$$ SST/STM Closure Model." In A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows, 141–214. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60603-9_3.
Erbig, Lars, and Sylvain Lardeau. "Hybrid RANS/LES of an Adverse Pressure Gradient Turbulent Boundary Layer Using an Elliptic Blending Reynolds Stress Model and Anisotropic Linear Forcing." In Progress in Hybrid RANS-LES Modelling, 73–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27607-2_5.
Speziale, Charles G. "Modeling Of Turbulent Transport Equations." In Simulation and Modeling of Turbulent Flows. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195106435.003.0009.
Тези доповідей конференцій з теми "Anisotropic turbulence models":
Li, Xueying, Jing Ren, and Hongde Jiang. "Film Cooling Modeling of Turbine Blades Using Algebraic Anisotropic Turbulence Models." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-25191.
Zhou, Prof Lixing, Yu Y., Cai F. P., and Zeng Zh. X. "Anisotropic Two-Phase Turbulence Models for Two-Fluid Modeling of Turbulent Dense Gas-Particle Flows." In 5th Asian Particle Technology Symposium. Singapore: Research Publishing Services, 2012. http://dx.doi.org/10.3850/978-981-07-2518-1_086.
Casartelli, Ernesto, Luca Mangani, David Roos, and Armando Del Rio. "On the Application of the Full Reynolds Stress Model for Unsteady CFD in Hydraulic Turbomachines." 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/fedsm2020-20398.
Zaichik, Leonid I., V. M. Alipchenkov, and A. R. Avetissian. "Transport and Algebraic Models of Particle Kinetic Stresses and Heat Fluxes in Anisotropic Turbulent Flows." In Turbulence, Heat and Mass Transfer 5. Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer. New York: Begellhouse, 2006. http://dx.doi.org/10.1615/ichmt.2006.turbulheatmasstransf.1520.
Li, Xueying, Jing Ren, and Hongde Jiang. "Full Field Algebraic Anisotropic Eddy Viscosity Model for the Film Cooling Flows." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-68667.
Antonello, Marco, Massimo Masi, and Giampaolo Navarro. "An anisotropic modification of the Reynolds stresses for algebraic models of turbulence." In 15th AIAA Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-2840.
MacDonald, James R., and Claudia M. Fajardo. "Turbulence Anisotropy Investigations in an Internal Combustion Engine." In ASME 2020 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icef2020-3029.
MacIsaac, G. D., and S. A. Sjolander. "Anisotropic Eddy Viscosity in the Secondary Flow of a Low-Speed Linear Turbine Cascade." In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-45578.
Xi, Jinxiang, and P. Worth Longest. "Effects of Improved Near-Wall Modeling on Micro-Particle Deposition in Oral Airway Geometries." In ASME 2007 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2007. http://dx.doi.org/10.1115/sbc2007-176227.
Li, Xueying, Jing Ren, and Hongde Jiang. "On the Reliability of RANS Turbulence Models for Endwall Cooling Prediction." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-65207.
Звіти організацій з теми "Anisotropic turbulence models":
Wilson, David K. Anisotropic Turbulence Models for Acoustic Propagation Through the Neutral Atmospheric Surface Layer. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada339329.
Hart, Carl, and Gregory Lyons. A tutorial on the rapid distortion theory model for unidirectional, plane shearing of homogeneous turbulence. Engineer Research and Development Center (U.S.), July 2022. http://dx.doi.org/10.21079/11681/44766.
Galperin, Boris. Modeling the Effects of Anisotropic Turbulence and Dispersive Waves on Oceanic Circulation and their Incorporation in Navy Ocean Models. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada542675.