Relevant bibliographies by topics / Direct numerical simulation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Direct numerical simulation'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 May 2025

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Journal articles on the topic "Direct numerical simulation"

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Tsujimoto, Koichi, Toshihiko Shakouchi, Shuji Sasazaki, and Toshitake Ando. "Direct Numerical Simulation of Jet Mixing Control Using Combined Jets(Numerical Simulation)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 725–30. http://dx.doi.org/10.1299/jsmeicjwsf.2005.725.

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Zhou, Yi, Nagata Kouji, Sakai Yasuhiko, Suzuki Hiroki, Ito Yasumasa, Terashima Osamu, and Hayase Toshiyuki. "1102 DIRECT NUMERICAL SIMULATION OF SINGLESQUARE GRID-GENERATED TURBULENCE." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2013.4 (2013): _1102–1_—_1102–5_. http://dx.doi.org/10.1299/jsmeicjwsf.2013.4._1102-1_.

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Layton, William J., C. David Pruett, and Leo G. Rebholz. "Temporally regularized direct numerical simulation." Applied Mathematics and Computation 216, no. 12 (August 2010): 3728–38. http://dx.doi.org/10.1016/j.amc.2010.05.031.

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Khujadze, George, and Martin Oberlack. "Turbulent diffusion: Direct numerical simulation." PAMM 9, no. 1 (December 2009): 451–52. http://dx.doi.org/10.1002/pamm.200910198.

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DONG, S., and X. ZHENG. "Direct numerical simulation of spiral turbulence." Journal of Fluid Mechanics 668 (December 13, 2010): 150–73. http://dx.doi.org/10.1017/s002211201000460x.

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In this paper, we present results of three-dimensional direct numerical simulations of the spiral turbulence phenomenon in a range of moderate Reynolds numbers, in which alternating intertwined helical bands of turbulent and laminar fluids co-exist and propagate between two counter-rotating concentric cylinders. We show that the turbulent spiral is comprised of numerous small-scale azimuthally elongated vortices, which align into and collectively form the barber-pole-like pattern. The domain occupied by such vortices in a plane normal to the cylinder axis resembles a ‘crescent moon’, a shape made well known by Van Atta with his experiments in the 1960s. The time-averaged mean velocity of spiral turbulence is characterized in the radial–axial plane by two layers of axial flows of opposite directions. We also observe that, as the Reynolds number increases, the transition from spiral turbulence to featureless turbulence does not occur simultaneously in the whole domain, but progresses in succession from the inner cylinder towards the outer cylinder. Certain aspects pertaining to the dynamics and statistics of spiral turbulence and issues pertaining to the simulation are discussed.
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Lee, Jae-Ryong, S. Balachandar, and Man-Yeong Ha. "Direct Numerical Simulation of Gravity Currents." Transactions of the Korean Society of Mechanical Engineers B 30, no. 5 (May 1, 2006): 422–29. http://dx.doi.org/10.3795/ksme-b.2006.30.5.422.

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Grinstein, F. F., E. S. Oran, and J. P. Boris. "Direct numerical simulation of axisymmetric jets." AIAA Journal 25, no. 1 (January 1987): 92–98. http://dx.doi.org/10.2514/3.9586.

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Giordano, N. "Direct numerical simulation of a recorder." Journal of the Acoustical Society of America 133, no. 2 (February 2013): 1111–18. http://dx.doi.org/10.1121/1.4773268.

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Matheou, G., and D. Chung. "Direct numerical simulation of stratified turbulence." Physics of Fluids 24, no. 9 (September 2012): 091106. http://dx.doi.org/10.1063/1.4747156.

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Juric, D., and G. Tryggvason. "Direct Numerical Simulation of Film Boiling." Journal of Heat Transfer 120, no. 3 (August 1, 1998): 543. http://dx.doi.org/10.1115/1.2824306.

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Dissertations / Theses on the topic "Direct numerical simulation"

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Jammy, S. P. "Direct numerical simulation of vortices." Thesis, University of Surrey, 2015. http://epubs.surrey.ac.uk/809415/.

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A direct numerical simulation of a Batchelor vortex has been carried out in the presence of freely decaying turbulence, using both periodic and symmetric boundary conditions; the latter most closely approximates typical experimental conditions, while the former is often used in computational simulations for numerical convenience. A recently developed numerical method, based on compact schemes combined with three stage Runge-Kutta method for time integration, with projection method for enforcing continuity is used for numerical simulations. The Poisson solver used is a direct solver in spectral space. The higher-order velocity statistics were shown to be strongly dependent upon the boundary conditions, but the dependence could be mostly eliminated by correcting for the random, Gaussian modulation of the vortex trajectory, commonly referred to as wandering, using a technique often employed in the analysis of experimental data. Once this wandering had been corrected for, the strong peaks in the Reynolds stresses normally observed at the vortex centre were replaced by smaller local extrema located within the core region but away from the centre. Analysis of the budgets of turbulent kinetic energy and normal Reynolds stress suggest that the production budget during the growth phase of vortex development, resembles turbulent boundary layer type budgets. The analysis of the budgets of turbulent shear stresses shows that the formation and organization of `hairpin' (secondary) structures within the core is the main mechanism for turbulent production and the budget of TKE and radial tangential shear stress shows a turbulent boundary layer type budget.
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Jalaal, Maziyar. "Direct numerical simulation of fragmentation of droplets." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42476.

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The work described in the present thesis is related to a series of projects that I worked on toward the better understanding of fragmentation phenomena. In the past decades, the science of fragmentation has attracted many attentions within the researchers due to its wide range of applications. However, because of the complexity of the subject, even its basic concepts need more investigations. This thesis starts with an introduction to fragmentation of droplets using experimental or numerical approaches. It is discussed that the current mathematical and experimental tools are not able to describe all the details. Thus, high performance numerical simulations are the best alternatives to study the breakup of droplets. The introduction is followed by a discussion on the numerical method and the ranges of the non-dimensional groups. It is described that an adaptive, volume of fluid (VOF) method based on octree meshing is used, providing a notable reduction of computational cost. The rest of the thesis basically discusses the obtained results using direct numerical simulations. Two main geometries are investigated: falling droplets and droplets in a stream. For the case of falling droplets, three simulations with different Eötvös numbers are performed. For the case of droplets in a stream, two-dimensional and three-dimensional simulations are performed for a range of Weber number. The results are compared with the available mathematical theories and it is shown that the analysis presented here precisely demonstrates the mechanism of the bag breakup of falling droplets and instability growth over the droplets in an external high-speed flow. The outcomes can significantly assist the development of the secondary atomization and turbulent two-phase flows modelling.
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Rajandram, Vijayanand. "Direct numerical simulation of buoyant reacting plumes." Thesis, Queen Mary, University of London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407416.

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Alam, Mahbubul. "Direct numerical simulation of laminar separation bubbles." Thesis, Queen Mary, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313069.

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Pezeshki, Mohammad. "Direct numerical simulation of hydrogen fluid dynamics." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/359737/.

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Direct numerical simulation of Hz - O2 in the context of a temporally evolving mixing layer has been performed. Real molecular properties as well as the effects of the species differential diffusion were incorporated into an existing 3D parallel FORTRAN code. The geometry is a box with streamwise and spanwise directions being periodic whereas non-periodic boundaries were set up in transverse (vertical) directions which leads to inhomogeneity for the turbulent field in these directions. Initialisation were performed by error function distributions for streamwise velocity component, scalar mass fraction and temperature along the vertical axis of the domain, Initial pressure is set to be uniform and density Willi calculated based on ideal-gas law for the mixture. Disturbances were introduced by generating spanwise and streamwise vorticity in the middle of the mixing layer to enable transition from laminar to turbulent.
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Wu, Wenwei. "Chemical reactions in turbulence : numerical studies through direct numerical simulations." Thesis, Littoral, 2021. http://www.theses.fr/2021DUNK0577.

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Le présent travail se concentre sur les propriétés statistiques des scalaires réactifs subissant des réactions chimiques réversibles en turbulence incompressible. Une analyse théorique des propriétés statistiques des scalaires à différents ordres de moments a été réalisée sur la base d'approximations et de modèles convenablement proposés. Les résultats théoriquement dérivés ont ensuite été comparés aux résultats numériques obtenus par simulation numérique directe (DNS). Dans la simulation numérique directe, les dérivés spatiales ont été principalement approximées en utilisant une méthode pseudi-spectrale, car la vitesse turbulente et les champs scalaires sont généralement des conditions aux limites périodiques. Pour les configurations spéciales dans lesquelles la condition aux limites n'est pas périodique, une méthode aux différences finies avec des schémas fins a été utilisée pour approximer les dérivées spatiales. L'intégration temporelle numérique a été mise en oeuvre par un schéma Runge-Kutta du troisième ordre. Tous les travaux menés dans cette thèse sont consacrés aux explorations numériques et théoriques des scalaires réactifs en turbulence incompressible de différentes configurations. Nos résultats suggèrent de nouvelles idées pour de futures études, qui sont discutées dans les conclusions
The present work focuses on the statistical properties of reactive scalars undergoing reversible chemical reactions in incompressible turbulence. Theoretical analysis about the statistical properties of scalars at different order of moments were carried out based on appropriately proposed approximations and models. The theoretically derived results were then compared with numerical results obtained by direct numerical simulation (DNS). In the direct numerical simulation, the spatial derivatives were mainly approximated by using a pseudo-spectral method, since the turbulent velocity and scalar fields are generally of periodic boundary conditions. For the special configurations in which the boundary condition is not periodic, a finite difference method with fine schemes was used to approximate the spatial derivatives. The numerical time integration was implemented by a third order Runge-Kutta scheme. All the works carried out in this thesis are devoted to the numerical and theoretical explorations about reactive scalars is incompressible turbulence of different configurations. Our finding suggest new ideas for future studies, which are discussed in the conclusions
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Kralj, Cedomir. "Numerical simulation of diesel spray processes." Thesis, Imperial College London, 1996. http://hdl.handle.net/10044/1/7964.

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Schumacher, Kristopher Ray. "Direct numerical simulation of ferrofluid turbulence in magnetic fields /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/9892.

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Hamid, Adnan. "Direct Numerical Simulation Studies of Sedimentation of Spherical Particles." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188621.

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Castagna, Jony. "Direct numerical simulation of turbulent flows over complex geometries." Thesis, Kingston University, 2010. http://eprints.kingston.ac.uk/20329/.

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The aim of this work is to extend an existing CFD solver, named Shock/Boundary-Layer Interaction (SBLI) code, to include a fully 3D curvilinear capability in order to perform direct numerical simulation (DNS) of turbulent flows over complex geometries. The SBLI code solves the compressible Navier-Stokes equations by the finite difference method and uses the body-fitted curvilinear coordinate system approach to treat complex geometries. The extended version of the code has been used to perform a DNS of a channel flow with longitudinally ridged walls and a DNS of a turbulent flow over an axisymmetric hill geometry. Validation and comparison with previous experimental data and numerical results are also presented. In the first part of the work, the Navier-Stokes equations are presented in a strong conservation form and test validations of the code extension have been carried out such as free stream flow preservation on a wavy grid and a laminar plane channel flow on a skewed mesh. The free stream preservation test consists of a uniform flow computation on a cosinusoidal mesh and the objective is to evaluate the velocity components changes from their initial values due to the effect of a highly skewed mesh. The maximum discrepancy found is around 10-16. For the laminar plane channel flow simulation on a skewed mesh, the purpose is to verify the symmetrical propriety of numerical errors obtained in the velocity components while the main flow direction and the position of the walls are altered in rotation around the three physical coordinates. The symmetry of the numerical error is found to be well preserved as expected. The second part of the work contains DNS of laminar and turbulent flows in a channel with longitudinally ridged walls at different Reynolds numbers. The goal is to investigate the effect of ridged walls on the turbulent flow behavior and to provide quality DNS data-for assessing other numerical simulations, such as Large Eddy Simu-lation (LES) and Reynolds-Averaged Navier Stokes (RANS) modeling. Two Reynolds numbers have been simulated (ReT = 150 and ReT = 360, based on a reference velocity UT = vol Pb( -dPldx), the bulk density and the wall viscosity) on a domain of 1.257r0 x 20 X 0.3757r0 in the streamwise, wall normal and spanwise directions, respectively. This domain is similar to the minimal flow unit for a turbulent plane channel flow. Comparisons with previous experimental data and numerical prediction have show good agreement for the ReT = 150 case and a similar flow dynamics for the ReT = 360 case. In general, the effects of ridged walls on the turbulent flow, like the reduction of the normal Reynolds stress peak values, seems to be smaller when the Reynolds number increases. The third part of this work describes the main simulation of this thesis. DNS of a turbulent flow around an axisymmetric hill is carried out in order to investigate the three-dimensional boundary-layer flow separation which occurs behind the hill. Different domain sizes and grid resolutions have been tested up to a maximum of about 54 million points. A methodology for generating inflow conditions has been implemented and tested. Results are compared with previous experimental and numerical studies. Due to a low Reynolds number used (Reo* = 500, only 5% of an experimental simulation), the time averaged separation bubbles is much bigger and the flow seems to have a laminarisation process due to a strong adverse pressure gradient presented. A small recirculation bubble detected on the top of the hill seems to be the cause of the earlier separation of the turbulent boundary layer and, then, the bigger separation observed. However, similar to the full Reynolds number experiment, same flow dynamics, consisting in the formation of a counter rotating vortex pair merging in the streamwise current, have been captured well. The final part of the work presents an extension of the single-block SBLI code to a multiblock version. A pre-processor program has been developed in order to simplify the treatment of the interface between different blocks and a description of the algorithm is also given. As a demonstration study, DNS of a square jet in a turbulent cross flow has been performed at two Reynolds numbers (Reo* = 1000 and Res- = 2000) and different jet to cross flow velocity ratios. Compared with the available data, the results are in good agree, despite the lower Reynolds number used (half of value simulated in the available data). In conclusion, a fully 3D version of the SBLI code has been successfully derived and tested for various flow configurations. The 3D curvilinear capability has also been implemented and tested by simple, but not trivial, test cases. An option for simplified treatment of Cartesian mesh has been implemented and tests have shown a factor of 2 speedup in overall performance. Two main simulations have been carried out and for the turbulent flow in a ridged channel, the results are in good agreement with published data, while, for the flow over an axisymmetric hill case, simulation is compared qualitatively well and the noticeable discrepancies are primarily due to a reduced Reynolds number conditions. The code has also been successfully extended to a multiblock version and demonstrated on a two-block domain for a jet in cross flow case. Future works includes simulations of the hill problem at higher Reynolds number and LES extension of the SBLI code to fully 3D curvilinear capability.
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Books on the topic "Direct numerical simulation"

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Thierry, Baritaud, Poinsot Thierry, Baum Markus, and Centre de recherche sur la combustion turbulente (France), eds. Direct numerical simulation for turbulent reacting flows. Paris: Editions Technip, 1996.

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Spalart, P. R. Direct simulation of a turbulent oscillating boundary layer. [Washington, DC: National Aeronautics and Space Administration, 1987.

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B, Gatski T., and Langley Research Center, eds. Efficient parallel algorithm for direct numerical simulation of turbulent flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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Jiang, Xi. Numerical techniques for direct and large-eddy simulations. Boca Raton: Taylor & Francis, 2009.

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Joslin, Ronald D. Parallel spatial direct numerical simulations on the Intel IPSC/860 hypercube. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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1930-, Lumley John L., and Lewis Research Center. Institute for Computational Mechanics in Propulsion., eds. Applications of direct numerical simulation of turbulence in second order closures. Cleveland, Ohio: Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1995.

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1930-, Lumley John L., and Lewis Research Center. Institute for Computational Mechanics in Propulsion., eds. Applications of direct numerical simulation of turbulence in second order closures. Cleveland, Ohio: Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1995.

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1983-, Ai Ye, ed. Electrokinetic particle transport in micro/nano-fluidics: Direct numerical simulation analysis. Boca Raton: CRC Press, 2012.

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V, Shebalin J., Hussaini M. Yousuff, and Institute for Computer Applications in Science and Engineering., eds. Direct-numerical and large-eddy simulations of a non-equilibrium turbulent Kolmogorov flow. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

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V, Shebalin J., Hussaini M. Yousuff, and Institute for Computer Applications in Science and Engineering., eds. Direct-numerical and large-eddy simulations of a non-equilibrium turbulent Kolmogorov flow. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

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Book chapters on the topic "Direct numerical simulation"

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Aliabadi, Amir A. "Direct Numerical Simulation." In Turbulence, 231–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95411-6_17.

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Ciofalo, Michele. "Direct Numerical Simulation (DNS)." In UNIPA Springer Series, 37–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81078-8_3.

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Casalis, G., and B. Cantaloube. "Receptivity by Direct Numerical Simulation." In Direct and Large-Eddy Simulation I, 237–48. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1000-6_21.

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Dewan, Anupam. "Direct Numerical Simulation and Large Eddy Simulation." In Tackling Turbulent Flows in Engineering, 91–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14767-8_8.

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Tryggvason, G., B. Bunner, M. F. Göz, and M. Sommerfeld. "Direct Numerical Simulations of Multiphase Flows." In Direct and Large-Eddy Simulation IV, 517–26. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-1263-7_60.

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Remmler, S., M. D. Fruman, U. Achatz, and S. Hickel. "Numerical Simulation of Breaking Gravity Waves." In Direct and Large-Eddy Simulation IX, 413–18. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14448-1_52.

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Vrieling, A. J., B. J. Boersma, and F. T. M. Nieuwstadt. "Numerical Simulation of Turbulent Reacting Flow." In Direct and Large-Eddy Simulation IV, 137–44. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-1263-7_17.

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Jenkins, Karl W., W. Kendal Bushe, Laurent L. Leboucher, and R. Stewart Cant. "Direct Numerical Simulation of Turbulent Flames." In High-Performance Computing, 395–405. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4873-7_43.

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Verzicco, Roberto. "Numerical Experiments on Turbulent Thermal Convection." In Direct and Large-Eddy Simulation VII, 329–36. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3652-0_49.

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Kessler, R., and K. S. Yang. "Direct Numerical Simulation of Turbulent Obstacle Flow." In Direct and Large-Eddy Simulation II, 247–56. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5624-0_23.

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Conference papers on the topic "Direct numerical simulation"

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Radovitzky, Raul, and Alberto Cuitino. "Direct Numerical Simulation of Polycrystals." In 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-1615.

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Aslam, Tariq D. "Direct Numerical Simulation of Detonation." In SHOCK COMPRESSION OF CONDENSED MATTER - 2005: Proceedings of the Conference of the American Physical Society Topical Group on Shock Compression of Condensed Matter. AIP, 2006. http://dx.doi.org/10.1063/1.2263474.

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Inoue, O., N. Hatakeyama, H. Hosoya, and H. Shoji. "Direct numerical simulation of Aeolian tones." In 7th AIAA/CEAS Aeroacoustics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-2132.

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GRINSTEIN, F., E. ORAN, and J. BORIS. "Direct numerical simulation of axisymmetric jets." In 24th Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-39.

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Manhartsgruber, Bernhard. "Towards Direct Numerical Simulation of Compressible Orifice Flow." In ASME/BATH 2013 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fpmc2013-4499.

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Simulation methods from simple lumped parameter approaches to complex computational fluid dynamics codes have become a widely used tool in the fluid power community. Certain tasks like the predicition of flow forces on the control spools in valves or the design of port plates in axial piston pumps are usually treated by the aid of numerical simulation. Like in many other cases, the underlying principle is the control of flow by orifices. The importance of orifice flow for hydraulic systems is reflected by the vast number of publications on various aspects of orifice flow in the fluid power literature. In lumped parameter simulations, the orifice equation giving the flow rate as a square root of the pressure drop is widely used even in transient cases where it is not clear whether the flow develops fast enough to justify the assumption of stationary flow. On the other end of the model complexity spectrum computational fluid dynamcis codes are used in the fluid power community. These very complex models require a high number of parameters for the tuning of turbulence models, wall models, and the like. The quality of the results heavily dependes on a good choice for these parameters. Additionally, the vast majority of turbulent flow simulations is done with the assumption of an incompressible fluid. Very often, the results from simulations deviate heavily from measurement results and only after parameter tuning a good match between model and simulation is achieved. This paper suggests the use of direct numerical simulations for simple and prototypical geometries in order to gain a better understanding for transient orifice flows lacking the fully developed flow assumed in traditional models.
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Ai, Ye, Sang W. Joo, Sheng Liu, and Shizhi Qian. "Direct Numerical Simulation of Particle Separation by Direct Current Dielectrophoresis." In ASME 2009 Second International Conference on Micro/Nanoscale Heat and Mass Transfer. ASMEDC, 2009. http://dx.doi.org/10.1115/mnhmt2009-18359.

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DC dielectrophoretic (DEP) separation of particles through a constricted microchannel was numerically investigated by a verified multiphysics finite element model, composed of the Navier-Stokes equations for the flow field and the Laplace equation for the electric field solved in an arbitrary Lagrangian-Eulerian (ALE) framework. The particle-fluid-electric field interactions are fully taken into account in the present model. The numerical predictions are in qualitative agreement with the existing experimental results obtained from the literature. The DEP particle separation depends on the particle size and zeta potential. The separation threshold of the particle size can be controlled by adjusting the applied electric field and the constriction ratio of the microfluidic channel. The proposed numerical model can be utilized for the design and optimization of a real microfluidic device for DEP particle separation.
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Lu, A. Yuanshu, B. Tao Lu, Bo Liu, and C. Yuanyuan Li. "NUMERICAL SIMULATION of STEAM DIRECT CONTACT CONDENSATION." In International Heat Transfer Conference 16. Connecticut: Begellhouse, 2018. http://dx.doi.org/10.1615/ihtc16.cms.023079.

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Wu, Hao, Julian Winkler, Richard D. Sandberg, and Stephane Moreau. "Direct Numerical Simulation of Transitional Airfoil Noise." In 23rd AIAA/CEAS Aeroacoustics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3368.

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Shrestha, Prakash, and Graham V. Candler. "Direct Numerical Simulation of Trip Induced Transition." In 46th AIAA Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-4380.

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Ansari, Amid. "Direct numerical simulation of turbulent mixing layers." In Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-2249.

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Reports on the topic "Direct numerical simulation"

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H. N. Najm. MPP Direct Numerical Simulation of Diesel Autoignition. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/791301.

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Cloutman, L. D. Direct Numerical Simulation of a Shocked Helium Jet. Office of Scientific and Technical Information (OSTI), February 2002. http://dx.doi.org/10.2172/15005357.

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AIR FORCE RESEARCH LAB EDWARDS AFB CA. Supercritical and Transcritical Shear Flows in Microgravity: Experiments and Direct Numerical Simulation. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada405100.

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Jameson, L. Direct Numerical Simulation DNS: Maximum Error as a Function of Mode Number. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/793962.

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Mahesh, Krishnan. Developing a Control Strategy for Jets in Crossflow Using Direct Numerical Simulation. Fort Belvoir, VA: Defense Technical Information Center, March 2010. http://dx.doi.org/10.21236/ada547653.

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Wagnild, Ross Martin, Neal Bitter, Jeffrey A. Fike, and Micah Howard. Direct Numerical Simulation of Hypersonic Turbulent Boundary Layer Flow using SPARC: Initial Evaluation. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1569350.

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Zhong, Xiaolin. Direct Numerical Simulation and Experimental Validation of Hypersonic Boundary-Layer Receptivity and Instability. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada467163.

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Bolotnov, Igor, Nam Dihn, Arsen Iskhakov, Cheng-Kai Tai, Elia Merzari, Tri Nguyen, Emilio Baglietto, et al. Challenge Problem 1: Benchmark Specifications for the Direct Numerical Simulation of Canonical Flows. Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1873405.

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Leonelli, Alexandre, Luis Bravo, and Eckart Meiburg. Direct Numerical Simulation of Particle Transport and Dispersion in Wall-Bounded Turbulent Flows. Aberdeen Proving Ground, MD: DEVCOM Army Research Laboratory, February 2022. http://dx.doi.org/10.21236/ad1160086.

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Naranjo, Mario Reyes, and Seung Jun Kim. NEK5000 Assessment Milestone Report: Single-Phase Natural Circulation using Direct Numerical Simulation (DNS) & Large Eddy Simulation (LES) Methods. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1499306.

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