Journal articles: 'Large eddy simulation'

1

Mathew, Joseph. "Large Eddy Simulation." Defence Science Journal 60, no. 6 (November 20, 2010): 598–605. http://dx.doi.org/10.14429/dsj.60.602.

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2

Tucker, Paul G., and Sylvain Lardeau. "Applied large eddy simulation." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1899 (July 28, 2009): 2809–18. http://dx.doi.org/10.1098/rsta.2009.0065.

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Large eddy simulation (LES) is now seen more and more as a viable alternative to current industrial practice, usually based on problem-specific Reynolds-averaged Navier–Stokes (RANS) methods. Access to detailed flow physics is attractive to industry, especially in an environment in which computer modelling is bound to play an ever increasing role. However, the improvement in accuracy and flow detail has substantial cost. This has so far prevented wider industrial use of LES. The purpose of the applied LES discussion meeting was to address questions regarding what is achievable and what is not, given the current technology and knowledge, for an industrial practitioner who is interested in using LES. The use of LES was explored in an application-centred context between diverse fields. The general flow-governing equation form was explored along with various LES models. The errors occurring in LES were analysed. Also, the hybridization of RANS and LES was considered. The importance of modelling relative to boundary conditions, problem definition and other more mundane aspects were examined. It was to an extent concluded that for LES to make most rapid industrial impact, pragmatic hybrid use of LES, implicit LES and RANS elements will probably be needed. Added to this further, highly industrial sector model parametrizations will be required with clear thought on the key target design parameter(s). The combination of good numerical modelling expertise, a sound understanding of turbulence, along with artistry, pragmatism and the use of recent developments in computer science should dramatically add impetus to the industrial uptake of LES. In the light of the numerous technical challenges that remain it appears that for some time to come LES will have echoes of the high levels of technical knowledge required for safe use of RANS but with much greater fidelity.

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Tao, L., K. R. Rajagopal, and G. Q. Chen. "Discrete large eddy simulation." Communications in Nonlinear Science and Numerical Simulation 6, no. 1 (March 2001): 17–22. http://dx.doi.org/10.1016/s1007-5704(01)90023-1.

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Hauser, A., and G. Wittum. "Adaptive large eddy simulation." Computing and Visualization in Science 17, no. 6 (December 2015): 295–304. http://dx.doi.org/10.1007/s00791-016-0265-3.

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Jun, Sangook, Young Seok Kang, and Dong-Ho Rhee. "Application of Large Eddy Simulation to Turbine Nozzle with Film Cooling Holes." KSFM Journal of Fluid Machinery 23, no. 4 (August 31, 2020): 5–11. http://dx.doi.org/10.5293/kfma.2020.23.4.005.

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6

Chlond, Andreas. "Large-Eddy Simulation of Contrails." Journal of the Atmospheric Sciences 55, no. 5 (March 1998): 796–819. http://dx.doi.org/10.1175/1520-0469(1998)055<0796:lesoc>2.0.co;2.

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Uijttewaal, Wim. "Large-eddy simulation in hydraulics." Journal of Hydraulic Research 52, no. 1 (January 2, 2014): 155–56. http://dx.doi.org/10.1080/00221686.2014.884512.

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8

Chen, G. Q., L. Tao, and K. R. Rajagopal. "Remarks on large eddy simulation." Communications in Nonlinear Science and Numerical Simulation 5, no. 3 (September 2000): 85–90. http://dx.doi.org/10.1016/s1007-5704(00)90007-8.

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9

Knaepen, Bernard, Olivier Debliquy, and Daniele Carati. "Large-eddy simulation without filter." Journal of Computational Physics 205, no. 1 (May 2005): 98–107. http://dx.doi.org/10.1016/j.jcp.2004.10.037.

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10

Tatsuya, Yasuda, Kawahara Genta, and Goto Susumu. "1184 Large-eddy simulation of turbulent hyperbolic-stagnation-point flow." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2013.4 (2013): _1184–1_—_1184–5_. http://dx.doi.org/10.1299/jsmeicjwsf.2013.4._1184-1_.

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11

Mayer, Gusztav. "ICONE15-10592 LARGE EDDY SIMULATION OF A FUEL ROD SUBCHANNEL." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_319.

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12

Iliescu, Traian, and Paul F. Fischer. "Large eddy simulation of turbulent channel flows by the rational large eddy simulation model." Physics of Fluids 15, no. 10 (2003): 3036. http://dx.doi.org/10.1063/1.1604781.

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13

Torner, Benjamin, Lucas Konnigk, Sebastian Hallier, Jitendra Kumar, Matthias Witte, and Frank-Hendrik Wurm. "Large eddy simulation in a rotary blood pump: Viscous shear stress computation and comparison with unsteady Reynolds-averaged Navier–Stokes simulation." International Journal of Artificial Organs 41, no. 11 (June 13, 2018): 752–63. http://dx.doi.org/10.1177/0391398818777697.

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Purpose: Numerical flow analysis (computational fluid dynamics) in combination with the prediction of blood damage is an important procedure to investigate the hemocompatibility of a blood pump, since blood trauma due to shear stresses remains a problem in these devices. Today, the numerical damage prediction is conducted using unsteady Reynolds-averaged Navier–Stokes simulations. Investigations with large eddy simulations are rarely being performed for blood pumps. Hence, the aim of the study is to examine the viscous shear stresses of a large eddy simulation in a blood pump and compare the results with an unsteady Reynolds-averaged Navier–Stokes simulation. Methods: The simulations were carried out at two operation points of a blood pump. The flow was simulated on a 100M element mesh for the large eddy simulation and a 20M element mesh for the unsteady Reynolds-averaged Navier-Stokes simulation. As a first step, the large eddy simulation was verified by analyzing internal dissipative losses within the pump. Then, the pump characteristics and mean and turbulent viscous shear stresses were compared between the two simulation methods. Results: The verification showed that the large eddy simulation is able to reproduce the significant portion of dissipative losses, which is a global indication that the equivalent viscous shear stresses are adequately resolved. The comparison with the unsteady Reynolds-averaged Navier–Stokes simulation revealed that the hydraulic parameters were in agreement, but differences for the shear stresses were found. Conclusion: The results show the potential of the large eddy simulation as a high-quality comparative case to check the suitability of a chosen Reynolds-averaged Navier–Stokes setup and turbulence model. Furthermore, the results lead to suggest that large eddy simulations are superior to unsteady Reynolds-averaged Navier–Stokes simulations when instantaneous stresses are applied for the blood damage prediction.

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14

de Roode, Stephan R., Peter G. Duynkerke, and Harm J. J. Jonker. "Large-Eddy Simulation: How Large is Large Enough?" Journal of the Atmospheric Sciences 61, no. 4 (February 2004): 403–21. http://dx.doi.org/10.1175/1520-0469(2004)061<0403:lshlil>2.0.co;2.

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15

Delgadillo, Jose A., and Raj K. Rajamani. "Large-Eddy Simulation (LES) of Large Hydrocyclones." Particulate Science and Technology 25, no. 3 (June 4, 2007): 227–45. http://dx.doi.org/10.1080/02726350701375774.

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16

Lee, Du Han. "Analysis of Compound Open Channel Flow Using Large Eddy Simulation (LES)." Ecology and Resilient Infrastructure 4, no. 1 (March 31, 2017): 54–62. http://dx.doi.org/10.17820/eri.2017.4.1.054.

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17

Kim, Jungwoo, and Haecheon Choi. "Large Eddy Simulation of a Free Circular Jet up to Re=100,000(Numerical Simulation)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 721–24. http://dx.doi.org/10.1299/jsmeicjwsf.2005.721.

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18

Anabor, V., U. Rizza, E. L. Nascimento, and G. A. Degrazia. "Large-Eddy Simulation of a microburst." Atmospheric Chemistry and Physics 11, no. 17 (September 9, 2011): 9323–31. http://dx.doi.org/10.5194/acp-11-9323-2011.

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Abstract. The three-dimensional structure and evolution of an isolated and stationary microburst are simulated using a time-dependent, high resolution Large-Eddy-Simulation (LES) model. The microburst is initiated by specifying a simplified cooling source at the top of the domain around 2 km a.g.l. that leads to a strong downdraft. Surface winds of the order of 30 m s−1 were obtained over a region of 500 m radius around the central point of the impinging downdraft, with the simulated microburst lasting for a few minutes. These characteristic length and time scales are consistent with results obtained from numerical simulations of microbursts using cloud-resolving models. The simulated flow replicated some of the principal features of microbursts observed by Doppler radars: in particular, the horizontal spread of strong surface winds and a ring vortex at the leading edge of the cold outflow. In addition to the primary surface outflow, the simulation also generated a secondary surge of strong winds that appears to represent a pulsation in the microburst evolution. These results highlight the capability of LES to reproduce complex phenomena like microbursts, indicating the potential usage of LES models to represent atmospheric phenomena of time and space scales between the convective scale and the microscale. These include short-lived convectively-generated damaging winds.

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19

Bryan, George H., Nathan A. Dahl, David S. Nolan, and Richard Rotunno. "An Eddy Injection Method for Large-Eddy Simulations of Tornado-Like Vortices." Monthly Weather Review 145, no. 5 (May 1, 2017): 1937–61. http://dx.doi.org/10.1175/mwr-d-16-0339.1.

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Abstract The structure and intensity of tornado-like vortices are examined using large-eddy simulations (LES) in an idealized framework. The analysis focuses on whether the simulated boundary layer contains resolved turbulent eddies, and whether most of the vertical component of turbulent momentum flux is resolved rather than parameterized. Initial conditions are first generated numerically using a “precursor simulation” with an axisymmetric model. A three-dimensional “baseline” LES is then integrated using these initial conditions plus random perturbations. With this baseline approach, the inner core of the simulated vortex clearly contains resolved turbulent eddies (as expected); however, the boundary layer inflow has very weak resolved turbulent eddies, and the subgrid model accounts for most of the vertical turbulent momentum flux (contrary to the design of these simulations). To overcome this problem, a second precursor simulation is conducted in which resolved turbulent fluctuations develop within a smaller, doubly periodic LES domain. Perturbation flow fields from this precursor LES are then “injected” into the large-domain LES at a specified radius. With this approach, the boundary layer inflow clearly contains resolved turbulent fluctuations, often organized as quasi-2D rolls, which persist into the inner core of the simulation; thus, the simulated tornado-like vortex and its inflowing boundary layer can be characterized as LES. When turbulence is injected, the inner-core vortex structure is always substantially different, the boundary layer inflow is typically deeper, and in most cases the maximum wind speeds are reduced compared to the baseline simulation.

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20

Liu, Hao, Wen Yan Song, and Shun Hua Yang. "Large Eddy Simulation of Hydrogen-Fueled Supersonic Combustion with Strut Injection." Applied Mechanics and Materials 66-68 (July 2011): 1769–73. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.1769.

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In order to obtain more accurate simulation results and properties of combustion in supersonic combustion flow fields, modules of large eddy simulation of reactive turbulent flow and fifth-order WENO scheme was developed. Large eddy simulation of hydrogen-fueled supersonic combustion with strut injection was conducted. Simulations results compare were with experimental measurements, which including wall pressure, velocity, velocity fluctuation and temperature.

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21

Renard, Nicolas, and Sébastien Deck. "Improvements in Zonal Detached Eddy Simulation for Wall Modeled Large Eddy Simulation." AIAA Journal 53, no. 11 (November 2015): 3499–504. http://dx.doi.org/10.2514/1.j054143.

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22

Raasch, Siegfried, and Michael Schröter. "PALM - A large-eddy simulation model performing on massively parallel computers." Meteorologische Zeitschrift 10, no. 5 (October 15, 2001): 363–72. http://dx.doi.org/10.1127/0941-2948/2001/0010-0363.

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23

Roberts, Stephen K., and Metin I. Yaras. "Large-Eddy Simulation of Transition in a Separation Bubble." Journal of Fluids Engineering 128, no. 2 (August 10, 2005): 232–38. http://dx.doi.org/10.1115/1.2170123.

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In this paper, large-eddy simulation of the transition process in a separation bubble is compared to experimental results. The measurements and simulations are conducted under low freestream turbulence conditions over a flat plate with a streamwise pressure distribution typical of those encountered on the suction side of turbine airfoils. The computational grid is refined to the extent that the simulation qualifies as a “coarse” direct numerical simulation. The simulations are shown to accurately capture the transition process in the separated shear layer. The results of these simulations are used to gain further insight into the breakdown mechanisms in transitioning separation bubbles.

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24

Moser, Robert D., Nicholas P. Malaya, Henry Chang, Paulo S. Zandonade, Prakash Vedula, Amitabh Bhattacharya, and Andreas Haselbacher. "Theoretically based optimal large-eddy simulation." Physics of Fluids 21, no. 10 (October 2009): 105104. http://dx.doi.org/10.1063/1.3249754.

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25

Vuorinen, Ville, Armin Wehrfritz, Jingzhou Yu, Ossi Kaario, Martti Larmi, and Bendiks Jan Boersma. "Large-Eddy Simulation of Subsonic Jets." Journal of Physics: Conference Series 318, no. 3 (December 22, 2011): 032052. http://dx.doi.org/10.1088/1742-6596/318/3/032052.

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26

Skyllingstad, Eric D. "Large-Eddy Simulation of Katabatic Flows." Boundary-Layer Meteorology 106, no. 2 (February 2003): 217–43. http://dx.doi.org/10.1023/a:1021142828676.

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27

Geurts, Bernard J. "Inverse modeling for large-eddy simulation." Physics of Fluids 9, no. 12 (December 1997): 3585–87. http://dx.doi.org/10.1063/1.869495.

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28

MAKIHARA, Takafumi, and Takahiko TANAHASHI. "Large Eddy Simulation by GSMAC-FEM." Proceedings of the Fluids engineering conference 2000 (2000): 256. http://dx.doi.org/10.1299/jsmefed.2000.256.

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29

Patton, Edward G., Roger H. Shaw, Murray J. Judd, and Michael R. Raupach. "Large-Eddy Simulation of Windbreak Flow." Boundary-Layer Meteorology 87, no. 2 (May 1998): 275–307. http://dx.doi.org/10.1023/a:1000945626163.

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30

Nakanishi, Mikio. "Large-Eddy Simulation Of Radiation Fog." Boundary-Layer Meteorology 94, no. 3 (March 2000): 461–93. http://dx.doi.org/10.1023/a:1002490423389.

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31

Quillatre, Pierre, Olivier Vermorel, Thierry Poinsot, and Philippe Ricoux. "Large Eddy Simulation of Vented Deflagration." Industrial & Engineering Chemistry Research 52, no. 33 (February 26, 2013): 11414–23. http://dx.doi.org/10.1021/ie303452p.

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32

Piomelli, U. "Large-eddy simulation: achievements and challenges." Progress in Aerospace Sciences 35, no. 4 (May 1999): 335–62. http://dx.doi.org/10.1016/s0376-0421(98)00014-1.

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33

Christensen, Erik Damgaard, and Rolf Deigaard. "Large eddy simulation of breaking waves." Coastal Engineering 42, no. 1 (January 2001): 53–86. http://dx.doi.org/10.1016/s0378-3839(00)00049-1.

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34

Wang, Yi, Prateep Chatterjee, and John L. de Ris. "Large eddy simulation of fire plumes." Proceedings of the Combustion Institute 33, no. 2 (January 2011): 2473–80. http://dx.doi.org/10.1016/j.proci.2010.07.031.

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35

Scotti, Alberto. "Large eddy simulation in the ocean." International Journal of Computational Fluid Dynamics 24, no. 10 (December 2010): 393–406. http://dx.doi.org/10.1080/10618562.2010.522527.

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36

Trouvé, Arnaud, and Yi Wang. "Large eddy simulation of compartment fires." International Journal of Computational Fluid Dynamics 24, no. 10 (December 2010): 449–66. http://dx.doi.org/10.1080/10618562.2010.541393.

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37

Rajagopal, K. R., L. Tao, and Guoqian Chen. "A formulation on large eddy simulation." Communications in Nonlinear Science and Numerical Simulation 4, no. 4 (December 1999): 245–48. http://dx.doi.org/10.1016/s1007-5704(99)90034-5.

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38

Müller, Wolf-Christian, and Daniele Carati. "Large-eddy simulation of magnetohydrodynamic turbulence." Computer Physics Communications 147, no. 1-2 (August 2002): 544–47. http://dx.doi.org/10.1016/s0010-4655(02)00341-7.

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39

Möller, S. I., E. Lundgren, and C. Fureby. "Large eddy simulation of unsteady combustion." Symposium (International) on Combustion 26, no. 1 (January 1996): 241–48. http://dx.doi.org/10.1016/s0082-0784(96)80222-0.

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40

Ding, Yan-ming, Chang-jian Wang, and Shou-xiang Lu. "Large Eddy Simulation of Fire Spread." Procedia Engineering 71 (2014): 537–43. http://dx.doi.org/10.1016/j.proeng.2014.04.077.

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41

Yang, W. B., H. Q. Zhang, C. K. Chan, and W. Y. Lin. "Large eddy simulation of mixing layer." Journal of Computational and Applied Mathematics 163, no. 1 (February 2004): 311–18. http://dx.doi.org/10.1016/j.cam.2003.08.076.

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42

Kobayashi, Toshio. "Large Eddy simulation for engineering applications." Fluid Dynamics Research 38, no. 2-3 (February 2006): 84–107. http://dx.doi.org/10.1016/j.fluiddyn.2005.06.004.

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43

Tominaga, T., Y. Itoh, M. Hirohata, T. Kobayashi, and N. Taniguchi. "Large eddy simulation of turbulent flame." Journal of Visualization 5, no. 4 (December 2002): 314. http://dx.doi.org/10.1007/bf03182343.

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44

Boris, J. P., F. F. Grinstein, E. S. Oran, and R. L. Kolbe. "New insights into large eddy simulation." Fluid Dynamics Research 10, no. 4-6 (December 1992): 199–228. http://dx.doi.org/10.1016/0169-5983(92)90023-p.

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45

Pitsch, Heinz. "LARGE-EDDY SIMULATION OF TURBULENT COMBUSTION." Annual Review of Fluid Mechanics 38, no. 1 (January 2006): 453–82. http://dx.doi.org/10.1146/annurev.fluid.38.050304.092133.

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46

Stevens, Bjorn, and Donald H. Lenschow. "Observations, Experiments, and Large Eddy Simulation." Bulletin of the American Meteorological Society 82, no. 2 (February 2001): 283–94. http://dx.doi.org/10.1175/1520-0477(2001)082<0283:oeales>2.3.co;2.

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47

Geurts, Bernard J., and Darryl D. Holm. "Commutator errors in large-eddy simulation." Journal of Physics A: Mathematical and General 39, no. 9 (February 15, 2006): 2213–29. http://dx.doi.org/10.1088/0305-4470/39/9/015.

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48

Geurts, Bernard J., and Darryl D. Holm. "Regularization modeling for large-eddy simulation." Physics of Fluids 15, no. 1 (January 2003): L13—L16. http://dx.doi.org/10.1063/1.1529180.

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49

Schmitt, T., L. Selle, B. Cuenot, and T. Poinsot. "Large-Eddy Simulation of transcritical flows." Comptes Rendus Mécanique 337, no. 6-7 (June 2009): 528–38. http://dx.doi.org/10.1016/j.crme.2009.06.022.

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50

Sengupta, T. K., and Manoj T. Nair. "Upwind schemes and large eddy simulation." International Journal for Numerical Methods in Fluids 31, no. 5 (November 15, 1999): 879–89. http://dx.doi.org/10.1002/(sici)1097-0363(19991115)31:5<879::aid-fld903>3.0.co;2-v.

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Journal articles on the topic 'Large eddy simulation'

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