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1

Kuruvila, G. Three-dimensional simulation of vortex breakdown. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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2

D, Salas M., e Langley Research Center, eds. Three-dimensional simulation of vortex breakdown. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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3

D, Salas M., e Langley Research Center, eds. Three-dimensional simulation of vortex breakdown. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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4

Inoue, Osamu. Vortex simulation of forced mixing layers. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1986.

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5

Archambeau, F. P. A. Large-eddy simulation of turbulent vortex shedding. Manchester: UMIST, 1995.

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6

Hoeijmakers, H. W. M. Numerical simulation of leading-edge vortex flow. Amsterdam, Netherlands: National Aerospace Laboratories, 1991.

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7

Dougherty, N. Sam. Numerical simulation of the edge tone phenomenon. Huntsville, Ala: George C. Marshall Space Flight Center, 1994.

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8

Chen, Maozhang. Numerical simulation of Tollmien-Schlichting waves by use of a modified vortex particle-in-cell method. London: Imperial College of Science and Technology, Dept. of Aeronautics, 1985.

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9

J, McCroskey W., Ames Research Center e United States. Army Aviation Systems Command., eds. Tip vortices of wings in subsonic and transonic flow: A numerical simulation. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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10

Hand, M. Maureen. Mitigation of wind turbine/vortex interaction using disturbance accommodating control. Golden, Colo: National Renewable Energy Laboratory, 2003.

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11

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Application of direct and large eddy simulation to transition and turbulence. Neuilly sur Seine, France: AGARD, 1994.

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12

Krist, Steven E. Numerical simulation of channel flow transition: Resolution requirements and structure of the hairpin vortex. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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13

A, Zang Thomas, e United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Numerical simulation of channel flow transition: Resolution requirements and structure of the hairpin vortex. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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14

1942-, Eiseman Peter R., United States. National Aeronautics and Space Administration. Scientific and Technical Information Division. e Langley Research Center, eds. A time-accurate adaptive grid method and the numerical simulation of shock-vortex interaction. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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15

1942-, Eiseman Peter R., United States. National Aeronautics and Space Administration. Scientific and Technical Information Division. e Langley Research Center, eds. A time-accurate adaptive grid method and the numerical simulation of shock-vortex interaction. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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16

Grigorʹevich, Martynenko Oleg, e Pavlov N. I, eds. Voprosy tropicheskoĭ meteorologii i laboratornogo modelirovanii͡a︡ vikhrevykh obrazovaniĭ. Leningrad: Gidrometeoizdat, 1989.

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17

Bockelie, Michael J. A time-accurate adaptive grid method and the numerical simulation of a shock-vortex interaction. Hampton, Va: Langley Research Center, 1990.

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18

Brandon, Jay M. Piloted-simulation study of effects of vortex flaps on low-speed handling qualities of a delta-wing airplane. Hampton, Va: Langley Research Center, 1987.

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19

W, Brown Philip, Wunschel Alfred J e United States. National Aeronautics and Space Administration. Scientific and Technical Information Office., eds. Piloted-simulation study of effects of vortex flaps on low-speed handling qualities of a delta-wing airplane. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Office, 1987.

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20

W, Brown Philip, Wunschel Alfred J e United States. National Aeronautics and Space Administration. Scientific and Technical Information Office., eds. Piloted-simulation study of effects of vortex flaps on low-speed handling qualities of a delta-wing airplane. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Office, 1987.

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21

Liu, Chaoqun, Qin Li, Yonghua Yan, Yong Yang, Guang Yang e Xiangrui Dong, eds. High Order Large Eddy Simulation for Shock-Boundary Layer Interaction Control by a Micro-ramp Vortex Generator. UAE: Bentham Science Publishers Ltd., 2017. http://dx.doi.org/10.2174/97816810859751170201.

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22

Breit, S. R. Sound generation by flow over a cavity in a duct: Discrete vortex simulation on a parallel processor. Cambridge, Mass: BBN Laboratories Inc, 1988.

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23

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Application of direct and large eddy simulation to transition and turbulence: Papers presented and discussions recorded at the 74th Fluid Dynamics Symposium held at Chania, Crete, Greece, in April 1994. Neuilly-sur-Seine: AGARD, 1994.

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24

Yuh-Lang, Lin, e United States. National Aeronautics and Space Administration., eds. Numerical modeling studies of wake vortex transport and evolution within the planetary boundary layer: NASA grant NCC-1-188 : FY 97 annual report. [Washington, DC: National Aeronautics and Space Administration, 1998.

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25

W, Harris Brenda, Raj Pradeep 1949- e Langley Research Center, eds. An assessment of viscous effects in computational simulation of benign and burst vortex flows on generic fighter wind-tunnel models using TEAM code. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

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26

Leonid, Oliker, Biswas Rupak e Research Institute for Advanced Computer Science (U.S.), eds. New computational methods for the prediction and analysis of helicopter noise. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.

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27

United States. National Aeronautics and Space Administration., ed. Numerical simulation of the flow about the F-18 HARV at high angle of attack. San Jose, CA: MCAT Institute, 1994.

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28

United States. National Aeronautics and Space Administration., ed. Numerical simulation of the flow about the F-18 HARV at high angle of attack. San Jose, CA: MCAT Institute, 1995.

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29

United States. National Aeronautics and Space Administration., ed. Numerical simulation of the flow about the F-18 HARV at high angle of attack. San Jose, CA: MCAT Institute, 1995.

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30

United States. National Aeronautics and Space Administration., ed. Numerical simulation of the flow about the F-18 HARV at high angle of attack. San Jose, CA: MCAT Institute, 1994.

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31

United States. National Aeronautics and Space Administration., ed. Numerical simulation of the flow about the F-18 HARV at high angle of attack. San Jose, CA: MCAT Institute, 1994.

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32

United States. National Aeronautics and Space Administration., ed. Numerical simulation of the flow about the F-18 HARV at high angle of attack. San Jose, CA: MCAT Institute, 1994.

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33

United States. National Aeronautics and Space Administration., ed. Numerical simulation of the flow about the F-18 HARV at high angle of attack. San Jose, CA: MCAT Institute, 1995.

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34

Suit, William T. Lateral and longitudinal aerodynamic stability and control parameters of the basic vortex flap research aircraft as determined from flight test data. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.

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35

Paintin, J. W. Computer simulations of ion-vortex line motion in superfluid helium. Birmingham: University ofBirmingham, 1986.

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36

Walter, Frost, e United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Analysis of aerodynamic coefficients using gust gradient data: Spanwise turbulence effects on airplane response. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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37

Rai, Man Mohan. Navier-Stokes simulations of blade-vortex interaction using high-order accurate upwind schemes. New York, N. Y: American Institute of Aeronautics and Astronautics, 1987.

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38

Vortex Simulation and Identification. IntechOpen, 2024.

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39

National Aeronautics and Space Administration (NASA) Staff. Three-Dimensional Simulation of Vortex Breakdown. Independently Published, 2018.

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40

Nowrouzezahrai, Derek. Vortex based smoke simulation and control. 2006.

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41

Multigrid method for a vortex breakdown simulation. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1986.

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42

Böttcher, M. Numerische Simulation von Scherschichten mit der discrete-vortex-Methode. 1991.

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43

Prediction of subsonic vortex shedding from forebodies with chines. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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44

National Aeronautics and Space Administration (NASA) Staff. Documentation for Three Wake Vortex Model Data Sets from Simulation of Flight 587 Wake Vortex Encounter Accident Case. Independently Published, 2019.

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45

Bluestein, Howard B. Tornadoes and Their Parent Convective Storms. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190676889.013.15.

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In the past four decades much has been discovered about tornado formation and structure from observations, laboratory models, and numerical-simulation experiments. Observations include nearby movies and photographs of tornadoes, fixed-site, airborne, and ground-based mobile Doppler radar remote measurements, and in situ measurements using instrumented probes. Laboratory models are vortex chambers and numerical-simulations are based on the governing fluid dynamical equations. However, questions remain: How and why do tornadoes form? and How does the wind field associated with them vary in space and time? Recent studies of tornadoes based on observations, particularly by radar, are detailed. The major aspects of numerically simulating a tornado and its formation are reviewed, and the dynamics of tornado formation and structure based on both observations and laboratory and numerical-simulation experiments are described. Finally, future avenues of research and suggested instrument development for furthering our knowledge are discussed.
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46

Bluestein, Howard B. Tornadoes and Their Parent Convective Storms. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190699420.013.15.

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In the past four decades much has been discovered about tornado formation and structure from observations, laboratory models, and numerical-simulation experiments. Observations include nearby movies and photographs of tornadoes, fixed-site, airborne, and ground-based mobile Doppler radar remote measurements, and in situ measurements using instrumented probes. Laboratory models are vortex chambers and numerical-simulations are based on the governing fluid dynamical equations. However, questions remain: How and why do tornadoes form? and How does the wind field associated with them vary in space and time? Recent studies of tornadoes based on observations, particularly by radar, are detailed. The major aspects of numerically simulating a tornado and its formation are reviewed, and the dynamics of tornado formation and structure based on both observations and laboratory and numerical-simulation experiments are described. Finally, future avenues of research and suggested instrument development for furthering our knowledge are discussed.
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47

Filipkowski, John *. Numerical simulation of an axisymmetric balanced hurricane vortex with an analytic measure of efficiency. 1988.

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48

National Aeronautics and Space Administration (NASA) Staff. Time-Accurate Adaptive Grid Method and the Numerical Simulation of a Shock-vortex Interaction. Independently Published, 2018.

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49

Piloted-simulation study of effects of vortex flaps on low-speed handling qualities of a delta-wing airplane. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Office, 1987.

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50

Development of a hybrid RANS/LES method for compressible mixing layer simulations. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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