Auswahl der wissenschaftlichen Literatur zum Thema „Anisotropic turbulence models“
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Zeitschriftenartikel zum Thema "Anisotropic turbulence models"
Nazarov, F. Kh. „Comparing Turbulence Models for Swirling Flows“. Herald of the Bauman Moscow State Technical University. Series Natural Sciences, Nr. 2 (95) (April 2021): 25–36. http://dx.doi.org/10.18698/1812-3368-2021-2-25-36.
Der volle Inhalt der QuelleCUI, G. X., C. X. XU, L. FANG, L. SHAO und Z. S. ZHANG. „A new subgrid eddy-viscosity model for large-eddy simulation of anisotropic turbulence“. Journal of Fluid Mechanics 582 (14.06.2007): 377–97. http://dx.doi.org/10.1017/s002211200700599x.
Der volle Inhalt der QuelleBarbi, G., A. Chierici, V. Giovacchini, F. Quarta und 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, Nr. 1 (01.04.2022): 012006. http://dx.doi.org/10.1088/1742-6596/2177/1/012006.
Der volle Inhalt der QuelleChang, Ning, Zelong Yuan, Yunpeng Wang und Jianchun Wang. „The effect of filter anisotropy on the large eddy simulation of turbulence“. Physics of Fluids 35, Nr. 3 (März 2023): 035134. http://dx.doi.org/10.1063/5.0142643.
Der volle Inhalt der QuelleFaragó, Dávid, und Péter Bencs. „Measurement of turbulence properties“. Analecta Technica Szegedinensia 14, Nr. 1 (08.06.2020): 67–75. http://dx.doi.org/10.14232/analecta.2020.1.67-75.
Der volle Inhalt der QuelleCui, Linyan. „Atmosphere turbulence MTF models in moderate-to-strong anisotropic turbulence“. Optik 130 (Februar 2017): 68–75. http://dx.doi.org/10.1016/j.ijleo.2016.11.012.
Der volle Inhalt der QuelleDEN TOONDER, J. M. J., M. A. HULSEN, G. D. C. KUIKEN und F. T. M. NIEUWSTADT. „Drag reduction by polymer additives in a turbulent pipe flow: numerical and laboratory experiments“. Journal of Fluid Mechanics 337 (25.04.1997): 193–231. http://dx.doi.org/10.1017/s0022112097004850.
Der volle Inhalt der QuelleCambon, Claude, und Julian F. Scott. „LINEAR AND NONLINEAR MODELS OF ANISOTROPIC TURBULENCE“. Annual Review of Fluid Mechanics 31, Nr. 1 (Januar 1999): 1–53. http://dx.doi.org/10.1146/annurev.fluid.31.1.1.
Der volle Inhalt der QuelleHocking, W. K., und 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, Nr. 8 (31.08.2001): 933–44. http://dx.doi.org/10.5194/angeo-19-933-2001.
Der volle Inhalt der QuelleMyong, Hyon Kook, und 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, Nr. 4 (01.12.1991): 608–15. http://dx.doi.org/10.1115/1.2926523.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleDoctor 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.
Der volle Inhalt der QuelleThis 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.
Der volle Inhalt der QuelleCampana, Lorenzo. „Modélisation stochastique de particules non sphériques en turbulence“. Thesis, Université Côte d'Azur, 2022. http://www.theses.fr/2022COAZ4019.
Der volle Inhalt der QuelleThe 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.
Der volle Inhalt der QuelleLamriben, 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.
Der volle Inhalt der QuelleJeong, Eun-Hwan. „Selected problems in turbulence theory and modeling“. Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/523.
Der volle Inhalt der QuelleHamilton, 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.
Der volle Inhalt der QuelleRasam, 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.
Der volle Inhalt der QuelleQC 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.
Der volle Inhalt der QuelleBücher zum Thema "Anisotropic turbulence models"
L, Machiels, Gatski T. B und Langley Research Center, Hrsg. Predicting nonInertial effects with algebraic stress models which account for dissipation rate anisotropies. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.
Den vollen Inhalt der Quelle findenL, Machiels, Gatski T. B und Langley Research Center, Hrsg. Predicting nonInertial effects with algebraic stress models which account for dissipation rate anisotropies. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.
Den vollen Inhalt der Quelle findenSagaut, Pierre. Homogeneous turbulence dynamics. Cambridge: Cambridge University Press, 2008.
Den vollen Inhalt der Quelle findenTrevino, G. Structure of wind-shear turbulence. Hampton, Va: Langley Research Center, 1989.
Den vollen Inhalt der Quelle findenR, Laituri Tony, und United States. National Aeronautics and Space Administration., Hrsg. Structure of wind-shear turbulence. [Washington, DC]: [National Aeronautics and Space Administration, 1988.
Den vollen Inhalt der Quelle findenR, Laituri Tony, und United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., Hrsg. Structure of wind-shear turbulence. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.
Den vollen Inhalt der Quelle findenR, Laituri Tony, und United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., Hrsg. Structure of wind-shear turbulence. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.
Den vollen Inhalt der Quelle findenR, Laituri Tony, und United States. National Aeronautics and Space Administration., Hrsg. Structure of wind-shear turbulence. [Washington, DC]: [National Aeronautics and Space Administration, 1988.
Den vollen Inhalt der Quelle findenChu, Chiang. Calculations of diffuser flows with an anisotropic K-[epsilon] model. [Washington, DC]: National Aeronautics and Space Administration, 1995.
Den vollen Inhalt der Quelle findenZhu, Jiang. Calculations of diffuser flows with an anisotropic K-[epsilon] model. [Washington, DC]: National Aeronautics and Space Administration, 1995.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Anisotropic turbulence models"
Hallbäck, M., J. Groth und 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.
Der volle Inhalt der QuelleAupoix, 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.
Der volle Inhalt der QuelleDeville, 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.
Der volle Inhalt der QuelleGodeferd, Fabien S., Alexandre Delache und 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.
Der volle Inhalt der QuelleKönözsy, 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.
Der volle Inhalt der QuelleGodeferd, Fabien, Lukas Liechtenstein, Claude Cambon, Julian Scott und 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.
Der volle Inhalt der QuelleKönözsy, 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.
Der volle Inhalt der QuelleKönözsy, 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.
Der volle Inhalt der QuelleErbig, Lars, und 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.
Der volle Inhalt der QuelleSpeziale, 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Anisotropic turbulence models"
Li, Xueying, Jing Ren und 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.
Der volle Inhalt der QuelleZhou, Prof Lixing, Yu Y., Cai F. P. und 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.
Der volle Inhalt der QuelleCasartelli, Ernesto, Luca Mangani, David Roos und 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.
Der volle Inhalt der QuelleZaichik, Leonid I., V. M. Alipchenkov und 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.
Der volle Inhalt der QuelleLi, Xueying, Jing Ren und 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.
Der volle Inhalt der QuelleAntonello, Marco, Massimo Masi und 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.
Der volle Inhalt der QuelleMacDonald, James R., und 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.
Der volle Inhalt der QuelleMacIsaac, G. D., und 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.
Der volle Inhalt der QuelleXi, Jinxiang, und 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.
Der volle Inhalt der QuelleLi, Xueying, Jing Ren und 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "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, Februar 1998. http://dx.doi.org/10.21236/ada339329.
Der volle Inhalt der QuelleHart, Carl, und Gregory Lyons. A tutorial on the rapid distortion theory model for unidirectional, plane shearing of homogeneous turbulence. Engineer Research and Development Center (U.S.), Juli 2022. http://dx.doi.org/10.21079/11681/44766.
Der volle Inhalt der QuelleGalperin, 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.
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