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Добірка наукової літератури з теми "Turbulent fluid flows"

Автор: Grafiati

Опубліковано: 10 січня 2023

Оновлено: 28 січня 2023

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Статті в журналах з теми "Turbulent fluid flows"

1

Tuckerman, Laurette S., Matthew Chantry, and Dwight Barkley. "Patterns in Wall-Bounded Shear Flows." Annual Review of Fluid Mechanics 52, no. 1 (January 5, 2020): 343–67. http://dx.doi.org/10.1146/annurev-fluid-010719-060221.

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Experiments and numerical simulations have shown that turbulence in transitional wall-bounded shear flows frequently takes the form of long oblique bands if the domains are sufficiently large to accommodate them. These turbulent bands have been observed in plane Couette flow, plane Poiseuille flow, counter-rotating Taylor–Couette flow, torsional Couette flow, and annular pipe flow. At their upper Reynolds number threshold, laminar regions carve out gaps in otherwise uniform turbulence, ultimately forming regular turbulent–laminar patterns with a large spatial wavelength. At the lower threshold, isolated turbulent bands sparsely populate otherwise laminar domains, and complete laminarization takes place via their disappearance. We review results for plane Couette flow, plane Poiseuille flow, and free-slip Waleffe flow, focusing on thresholds, wavelengths, and mean flows, with many of the results coming from numerical simulations in tilted rectangular domains that form the minimal flow unit for the turbulent–laminar bands.

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2

Sofiadis, G., and I. Sarris. "Reynolds number effect of the turbulent micropolar channel flow." Physics of Fluids 34, no. 7 (July 2022): 075126. http://dx.doi.org/10.1063/5.0098453.

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The turbulent regime of non-Newtonian flows presents a particular interest as flow behavior is directly affected by the internal microstructure type of the fluid. Differences in the dispersed phase of a particle laden flow can either lead to drag reduction and turbulence attenuation or to drag and turbulence enhancement in polymer flows and dense suspensions, respectively. A general concept of non-Newtonian fluid flow may be considered in a continuous manner through the micropolar theory, recognizing the limitations that bound this theory. In recent articles [Sofiadis and Sarris, “Microrotation viscosity effect on turbulent micropolar fluid channel flow,” Phys. Fluids 33, 095126 (2021); Sofiadis and Sarris, “Turbulence intensity modulation by micropolar fluids,” Fluids 6, 195 (2021)], the micropolar viscosity effect of the turbulent channel flow under constant Reynolds number and its turbulent modulation were investigated. The present study focuses on the investigation of the turbulent micropolar regime as the Reynolds number increases in a channel flow. Findings support that the micropolar stress, which was found to assist turbulence enhancement in the present model, attenuates as Re increases. Effects on the friction behavior of the flow, as Reynolds number increases, become more important for cases of higher micropolar viscosity, where a reverse drag behavior is observed as compared to lower micropolar viscosity ones. Finally, turbulence intensification for these cases declines close to the wall in contrast to lower micropolar viscosity flows, which manage to sustain high turbulence and increase drag in the near-wall region along with Re.

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3

Vassilicos, J. Christos. "Dissipation in Turbulent Flows." Annual Review of Fluid Mechanics 47, no. 1 (January 3, 2015): 95–114. http://dx.doi.org/10.1146/annurev-fluid-010814-014637.

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4

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.

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The paper considers a turbulent fluid flow in a rotating pipe, known as the Taylor --- Couette --- Poiseuille flow. Linear RANS models are not suitable for simulating this type of problems, since the turbulence in these flows is strongly anisotropic, which means that solving these problems requires models accounting for turbulence anisotropy. Modified linear models featuring corrections for flow rotations, such as the SARC model, make it possible to obtain satisfactory solutions. A new approach to turbulence problems has appeared recently. It allowed a novel two-fluid turbulence model to be created. What makes this model different is that it can describe strongly anisotropic turbulent flows; moreover, it is easy to implement numerically while not being computationally expensive. We compared the results of solving the Taylor --- Couette --- Poiseuille flow problem using the novel two-fluid model and the SARC model. The numerical investigation results obtained from the novel two-fluid model show a better agreement with the experimental data than the results provided by the SARC model

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5

Eidelman, A., T. Elperin, N. Kleeorin, A. Markovich, and I. Rogachevskii. "Experimental detection of turbulent thermaldiffusion of aerosols in non-isothermal flows." Nonlinear Processes in Geophysics 13, no. 1 (April 24, 2006): 109–17. http://dx.doi.org/10.5194/npg-13-109-2006.

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Abstract. We studied experimentally a new phenomenon of turbulent thermal diffusion of particles which can cause formation of the large-scale aerosol layers in the vicinity of the atmospheric temperature inversions. This phenomenon was detected experimentally in oscillating grids turbulence in air flow. Three measurement techniques were used to study turbulent thermal diffusion in strongly inhomogeneous temperature fields, namely Particle Image Velocimetry to determine the turbulent velocity field, an image processing technique to determine the spatial distribution of aerosols, and an array of thermocouples for the temperature field. Experiments are presented for both, stably and unstably stratified fluid flows, by using both directions of the imposed mean vertical temperature gradient. We demonstrated that even in strongly inhomogeneous temperature fields particles in turbulent fluid flow accumulate at the regions with minimum of mean temperature of surrounding fluids due to the phenomenon of turbulent thermal diffusion.

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6

Chaouat, Bruno. "Simulations of Channel Flows With Effects of Spanwise Rotation or Wall Injection Using a Reynolds Stress Model." Journal of Fluids Engineering 123, no. 1 (November 16, 2000): 2–10. http://dx.doi.org/10.1115/1.1343109.

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Simulations of channel flows with effects of spanwise rotation and wall injection are performed using a Reynolds stress model. In this work, the turbulent model is extended for compressible flows and modified for rotation and permeable walls with fluid injection. Comparisons with direct numerical simulations or experimental data are discussed in detail for each simulation. For rotating channel flows, the second-order turbulence model yields an asymmetric mean velocity profile as well as turbulent stresses quite close to DNS data. Effects of spanwise rotation near the cyclonic and anticyclonic walls are well observed. For the channel flow with fluid injection through a porous wall, different flow developments from laminar to turbulent regime are reproduced. The Reynolds stress model predicts the mean velocity profiles, the transition process and the turbulent stresses in good agreement with the experimental data. Effects of turbulence in the injected fluid are also investigated.

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7

Wood, Brian D., Xiaoliang He, and Sourabh V. Apte. "Modeling Turbulent Flows in Porous Media." Annual Review of Fluid Mechanics 52, no. 1 (January 5, 2020): 171–203. http://dx.doi.org/10.1146/annurev-fluid-010719-060317.

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Turbulent flows in porous media occur in a wide variety of applications, from catalysis in packed beds to heat exchange in nuclear reactor vessels. In this review, we summarize the current state of the literature on methods to model such flows. We focus on a range of Reynolds numbers, covering the inertial regime through the asymptotic turbulent regime. The review emphasizes both numerical modeling and the development of averaged (spatially filtered) balances over representative volumes of media. For modeling the pore scale, we examine the recent literature on Reynolds-averaged Navier–Stokes (RANS) models, large-eddy simulation (LES) models, and direct numerical simulations (DNS). We focus on the role of DNS and discuss how spatially averaged models might be closed using data computed from DNS simulations. A Darcy–Forchheimer-type law is derived, and a prior computation of the permeability and Forchheimer coefficient is presented and compared with existing data.

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8

Graham, Michael D., and Daniel Floryan. "Exact Coherent States and the Nonlinear Dynamics of Wall-Bounded Turbulent Flows." Annual Review of Fluid Mechanics 53, no. 1 (January 5, 2021): 227–53. http://dx.doi.org/10.1146/annurev-fluid-051820-020223.

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Wall-bounded turbulence exhibits patterns that persist in time and space: coherent structures. These are important for transport processes and form a conceptual framework for important theoretical approaches. Key observed structures include quasi-streamwise and hairpin vortices, as well as the localized spots and puffs of turbulence observed during transition. This review describes recent research on so-called exact coherent states (ECS) in wall-bounded parallel flows at Reynolds numbers Re [Formula: see text] 104; these are nonturbulent, nonlinear solutions to the Navier–Stokes equations that in many cases resemble coherent structures in turbulence. That is, idealized versions of many of these structures exist as distinct, self-sustaining entities. ECS are saddle points in state space and form, at least in part, the state space skeleton of the turbulent dynamics. While most work on ECS focuses on Newtonian flow, some advances have been made on the role of ECS in turbulent drag reduction in polymer solutions. Emerging directions include applications to control and connections to large-scale structures and the attached eddy model.

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9

Bradshaw, Peter. "Heat transfer in turbulent fluid flows." International Journal of Heat and Fluid Flow 8, no. 4 (December 1987): 338. http://dx.doi.org/10.1016/0142-727x(87)90076-2.

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10

Mathai, Varghese, Detlef Lohse, and Chao Sun. "Bubbly and Buoyant Particle–Laden Turbulent Flows." Annual Review of Condensed Matter Physics 11, no. 1 (March 10, 2020): 529–59. http://dx.doi.org/10.1146/annurev-conmatphys-031119-050637.

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Fluid turbulence is commonly associated with stronger drag, greater heat transfer, and more efficient mixing than in laminar flows. In many natural and industrial settings, turbulent liquid flows contain suspensions of dispersed bubbles and light particles. Recently, much attention has been devoted to understanding the behavior and underlying physics of such flows by use of both experiments and high-resolution direct numerical simulations. This review summarizes our present understanding of various phenomenological aspects of bubbly and buoyant particle–laden turbulent flows. We begin by discussing different dynamical regimes, including those of crossing trajectories and wake-induced oscillations of rising particles, and regimes in which bubbles and particles preferentially accumulate near walls or within vortical structures. We then address how certain paradigmatic turbulent flows, such as homogeneous isotropic turbulence, channel flow, Taylor–Couette turbulence, and thermally driven turbulence, are modified by the presence of these dispersed bubbles and buoyant particles. We end with a list of summary points and future research questions.

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Дисертації з теми "Turbulent fluid flows"

1

Leeming, Angus David. "Particle deposition from turbulent flows." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242996.

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2

Godden, Paul James. "Turbulent buoyant fluid flows in confined regions." Thesis, University of Bristol, 2002. http://hdl.handle.net/1983/7f335a17-90bb-4229-b264-36c470f573f7.

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3

Mastorakos, Epaminondas. "Turbulent combustion in opposed jet flows." Thesis, Imperial College London, 1994. http://hdl.handle.net/10044/1/11820.

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4

Bernard, Donald Edward. "Optimization of Turbulent Prandtl Number in Turbulent, Wall Bounded Flows." ScholarWorks @ UVM, 2018. https://scholarworks.uvm.edu/graddis/824.

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After nearly 50 years of development, Computational Fluid Dynamics (CFD) has become an indispensable component of research, forecasting, design, prototyping and testing for a very broad spectrum of fields including geophysics, and most engineering fields (mechanical, aerospace, biomedical, chemical and civil engineering). The fastest and most affordable CFD approach, called Reynolds-Average-Navier-Stokes (RANS) can predict the drag around a car in just a few minutes of simulation. This feat is possible thanks to simplifying assumptions, semi-empirical models and empirical models that render the flow governing equations solvable at low computational costs. The fidelity of RANS model is good to excellent for the prediction of flow rate in pipes or ducts, drag, and lift of solid objects in Newtonian flows (e.g. air, water). RANS solutions for the prediction of scalar (e.g. temperature, pollutants, combustable chemical species) transport do not generally achieve the same level of fidelity. The main culprit is an assumption, called Reynolds analogy, which assumes analogy between the transport of momentum and scalar. This assumption is found to be somewhat valid in simple flows but fails for flows in complex geometries and/or in complex fluids. This research explores optimization methods to improve upon existing RANS models for scalar transport. Using high fidelity direct numerical simulations (numerical solutions in time and space of the exact transport equations), the most common RANS model is a-priori tested and investigated for the transport of temperature (as a passive scalar) in a turbulent channel flow. This one constant model is then modified to improve the prediction of the temperature distribution profile and the wall heat flux. The resulting modifications provide insights in the model’s missing physics and opens new areas of investigation for the improvement of the modeling of turbulent scalar transport.

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5

Vassilicos, J. C. "Fractal and moving interfaces in turbulent flows." Thesis, University of Cambridge, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293384.

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6

Murray, Kevin B. "Wavelet transform analysis of turbulent wake flows." Thesis, Edinburgh Napier University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322272.

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7

Karim, Othman A. "Prediction of two and three dimensional turbulent flows." Thesis, University of Liverpool, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266196.

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8

Neel, Reece E. "Advances In Computational Fluid Dynamics: Turbulent Separated Flows And Transonic Potential Flows." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30677.

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Computational solutions are presented for flows ranging from incompressible viscous flows to inviscid transonic flows. The viscous flow problems are solved using the incompressible Navier-Stokes equations while the inviscid solutions are attained using the full potential equation. Results for the viscous flow problems focus on turbulence modeling when separation is present. The main focus for the inviscid results is the development of an unstructured solution algorithm. The subject dealing with turbulence modeling for separated flows is discussed first. Two different test cases are presented. The first flow is a low-speed converging-diverging duct with a rapid expansion, creating a large separated flow region. The second case is the flow around a stationary hydrofoil subject to small, oscillating hydrofoils. Both cases are computed first in a steady state environment, and then with unsteady flow conditions imposed. A special characteristic of the two problems being studied is the presence of strong adverse pressure gradients leading to flow detachment and separation. For the flows with separation, numerical solutions are obtained by solving the incompressible Navier-Stokes equations. These equations are solved in a time accurate manner using the method of artificial compressibility. The algorithm used is a finite volume, upwind differencing scheme based on flux-difference splitting of the convective terms. The Johnson and King turbulence model is employed for modeling the turbulent flow. Modifications to the Johnson and King turbulence model are also suggested. These changes to the model focus mainly on the normal stress production of energy and the strong adverse pressure gradient associated with separating flows. The performance of the Johnson and King model and its modifications, along with the Baldwin-Lomax model, are presented in the results. The modifications had an impact on moving the flow detachment location further downstream, and increased the sensitivity of the boundary layer profile to unsteady flow conditions. Following this discussion is the numerical solution of the full potential equation. The full potential equation assumes inviscid, irrotational flow and can be applied to problems where viscous effects are small compared to the inviscid flow field and weak normal shocks. The development of a code is presented which solves the full potential equation in a finite volume, cell centered formulation. The unique feature about this code is that solutions are attained on unstructured grids. Solutions are computed in either two or three dimensions. The grid has the flexibility of being made up of tetrahedra, hexahedra, or prisms. The flow regime spans from low subsonic speeds up to transonic flows. For transonic problems, the density is upwinded using a density biasing technique. If lift is being produced, the Kutta-Joukowski condition is enforced for circulation. An implicit algorithm is employed based upon the Generalized Minimum Residual method. To accelerate convergence, the Generalized Minimum Residual method is preconditioned. These and other problems associated with solving the full potential equation on an unstructured mesh are discussed. Results are presented for subsonic and transonic flows over bumps, airfoils, and wings to demonstrate the unstructured algorithm presented here.
Ph. D.

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9

Vosskuhle, Michel. "Particle collisions in turbulent flows." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2013. http://tel.archives-ouvertes.fr/tel-00946618.

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Cette thèse est consacrée au mécanisme conduisant à des taux de collisions importants dans les suspensions turbulentes de particules inertielles. Le travail a été effectué en suivant numériquement des particules, par simulations directes des équations de Navier-Stokes, et également par étude de modèles simplifiés. Les applications de ce domaine sont nombreuses aussi bien dans un contexte industriel que naturel (astrophysique, géophysique). L'approximation des collisions fantômes (ACF), souvent utilisée pour déterminer les taux de collision numériquement, consiste à compter dans une simulation, le nombre de fois que la distance entre les centres de deux particules devient plus faible qu'une distance seuil. Plusieurs arguments théoriques suggéreraient que cette approximation conduit à une surestimation du taux de collision. Cette thèse fournit non seulement une estimation quantitative de cette surestimation, mais également une compréhension détaillée des mécanismes des erreurs faites par l'ACF. Nous trouvons qu'une paire de particules peut subir des collisions répétées avec une grande probabilité. Ceci est relié à l'observation que, dans un écoulement turbulent, certaines paires de particules peuvent rester proches pendant très longtemps. Une deuxième classe de résultats obtenus dans cette thèse a permis une compréhension quantitative des très forts taux de collisions souvent observés. Nous montrons que lorsque l'inertie des particules n'est pas très petite, l'effet " fronde/caustiques ", à savoir, l'éjection de particules par des tourbillons intenses, est responsable du taux de collision élevé. En comparaison, la concentration préférentielle de particules dans certaines régions de l'espace joue un rôle mineur.

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10

Ramsay, Euan Grant. "Nonlinear microscopy of semiconductor devices and turbulent fluid flows." Thesis, Heriot-Watt University, 2005. http://hdl.handle.net/10399/260.

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Книги з теми "Turbulent fluid flows"

1

F, Hewitt G., and Vassilicos J. C, eds. Prediction of turbulent flows. New York: Cambridge University Press, 2005.

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2

1944-, Borghi R., Murthy S. N. B, Centre national de la recherche scientifique (France), and National Science Foundation (U.S.), eds. Turbulent reactive flows. New York: Springer-Verlag, 1989.

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3

Zhukauskas, A. A. Heat transfer in turbulent fluid flows. Edited by Shlanchi͡a︡uskas A and Karni J. Washington: Hemisphere Pub. Corp., 1987.

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4

G, Biswas, and Eswaran V, eds. Turbulent flows: Fundamentals, experiments and modeling. Pangbourne: Alpha Science, 2002.

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5

Forum on Turbulent Flows (1991 Portland, Or.). Forum on Turbulent Flows, 1991. New York: American Society of Mechanical Engineers, 1991.

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6

C, Vassilicos J., ed. Intermittency in turbulent flows. Cambridge, UK: Cambridge University Press, 2001.

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7

Toronto), Forum on Turbulent Flows (1990 University of. Forum on Turbulent Flows, 1990. New York, N.Y: American Society of Mechanical Engineers, 1990.

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8

IUTAM, Symposium (1990 Novosibirsk R. S. F. S. R. ). Separated flows and jets. Berlin: Springer-Verlag, 1991.

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9

Pitts, William M. Mixing in variable density, isothermal turbulent flows and implications for chemically reacting turbulent flows. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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10

Pitts, William M. Mixing in variable density, isothermal turbulent flows and implications for chemically reacting turbulent flows. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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Частини книг з теми "Turbulent fluid flows"

1

Ferziger, Joel H., Milovan Perić, and Robert L. Street. "Turbulent Flows." In Computational Methods for Fluid Dynamics, 347–419. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99693-6_10.

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2

Ferziger, Joel H., and Milovan Perić. "Turbulent Flows." In Computational Methods for Fluid Dynamics, 257–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-98037-4_9.

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3

Ferziger, Joel H., and Milovan Perić. "Turbulent Flows." In Computational Methods for Fluid Dynamics, 265–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56026-2_9.

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4

Ferziger, Joel H., and Milovan Perić. "Turbulent Flows." In Computational Methods for Fluid Dynamics, 253–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-97651-3_9.

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5

Babu, V. "Turbulent Flows." In Fundamentals of Incompressible Fluid Flow, 157–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74656-8_8.

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6

Spurk, Joseph H. "Fundamentals of Turbulent Flows." In Fluid Mechanics, 274–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-58277-6_7.

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7

Uddin, Naseem. "Introduction to Turbulent Flows." In Fluid Mechanics, 223–48. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003315117-9.

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Babu, V. "Turbulent Internal Flows." In Fundamentals of Incompressible Fluid Flow, 171–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74656-8_9.

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9

Babu, V. "Turbulent External Flows." In Fundamentals of Incompressible Fluid Flow, 183–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74656-8_10.

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Dewan, Anupam. "Fluid Turbulence." In Tackling Turbulent Flows in Engineering, 19–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14767-8_2.

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Тези доповідей конференцій з теми "Turbulent fluid flows"

1

Ladeine, F., and J. Intile. "Calculation of turbulent supersonic flows." In Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-2365.

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2

Mavriplis, D., and V. Venkatakrishnan. "Agglomeration multigrid for viscous turbulent flows." In Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-2332.

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3

Lejeune, C., A. Kourta, and P. Chassaing. "Modelling of high speed turbulent flows." In Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-2041.

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4

MANKBADI, REDA. "Fully developed pulsating turbulent flows." In 1st National Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-3672.

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5

Yoon, K., and T. Chung. "Compressible turbulent reacting flows with boundary layer interactions." In Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-2312.

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6

Kellnerová, R., K. Jurčáková, and P. Procházka. "LARGE SCALE MOTIONS IN TURBULENT FLOWS." In Topical Problems of Fluid Mechanics 2019. Institute of Thermomechanics, AS CR, v.v.i., 2019. http://dx.doi.org/10.14311/tpfm.2019.017.

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7

Yoder, Dennis A., James R. DeBonis, and Nicholas J. Georgiadis. "Modeling of Turbulent Free Shear Flows." In 21st AIAA Computational Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-2721.

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8

Hargather, Michael, and Gary Settles. "Schlieren Velocimetry of Turbulent Flows (Invited)." In 38th Fluid Dynamics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-3751.

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9

Wang, S. Z., C. H. Lee, Jiachun Li, and Song Fu. "LES of Compressible Turbulent Channel Flows." In RECENT PROGRESSES IN FLUID DYNAMICS RESEARCH: Proceeding of the Sixth International Conference on Fluid Mechanics. AIP, 2011. http://dx.doi.org/10.1063/1.3651838.

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10

Weber, C., F. Ducros, and A. Corjon. "Large eddy simulation of complex turbulent flows." In 29th AIAA, Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-2651.

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Звіти організацій з теми "Turbulent fluid flows"

1

Caughey, David. SYMPOSIUM ON TURBULENCE AND COMBUSTION - SPECIAL SYMPOSIUM TO BRING TOGETHER TOP RESEARCHERS IN THE FIELDS OF FLUID TURBULENCE AND COMBUSTION TO PROMOTE ADVANCES IN TURBULENT, REACTING FLOWS. Office of Scientific and Technical Information (OSTI), October 2010. http://dx.doi.org/10.2172/1073617.

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2

Ayoul-Guilmard, Q., S. Ganesh, M. Nuñez, R. Tosi, F. Nobile, R. Rossi, and C. Soriano. 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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Анотація:

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 performance were found to not be satisfied at higher turbulent Reynolds’ numbers despite the use of AMR strategies. Recommendations are made for future research directions based on these studies. A tentative outline for an MLMC algorithm with adapted meshes is made, as well as recommendations for alternatives to MLMC methods for cases where the underlying assumptions for optimal MLMC performance are not satisfied.

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3

Ayoul-Guilmard, Q., F. Nobile, S. Ganesh, M. Nuñez, R. Tosi, C. Soriano, and R. Rosi. D5.5 Report on the application of multi-level Monte Carlo to wind engineering. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.03.

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We study the use of multi-level Monte Carlo methods for wind engineering. This report brings together methodological research on uncertainty quantification and work on target applications of the ExaQUte project in wind and civil engineering. First, a multi-level Monte Carlo for the estimation of the conditional value at risk and an adaptive algorithm are presented. Their reliability and performance are shown on the time-average of a non-linear oscillator and on the lift coefficient of an airfoil, with both preset and adaptively refined meshes. Then, we propose an adaptive multi-fidelity Monte Carlo algorithm for turbulent fluid flows where multilevel Monte Carlo methods were found to be inefficient. Its efficiency is studied and demonstrated on the benchmark problem of quantifying the uncertainty on the drag force of a tall building under random turbulent wind conditions. All numerical experiments showcase the open-source software stack of the ExaQUte project for large-scale computing in a distributed environment.

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4

Clark, T. T., Shi-Yi Chen, L. Turner, and C. Zemach. Turbulence and turbulence spectra in complex fluid flows. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/544691.

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5

Van Atta, Charles W. Effects of Buoyancy on Fluid Flows and Turbulence. Fort Belvoir, VA: Defense Technical Information Center, February 1994. http://dx.doi.org/10.21236/ada276586.

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6

Yeh, Gordon C., and Said E. Elghobashi. A Two-Equation Turbulence Model for a Dispersed Two-Phased Flow with Variable Density Fluid and Constant Density Particles. Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada170628.

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