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Journal articles on the topic 'Direct simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 April 2024

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1

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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2

Danforth, Amanda L., and Lyle N. Long. "Nonlinear acoustic simulations using direct simulation Monte Carlo." Journal of the Acoustical Society of America 116, no. 4 (October 2004): 1948–55. http://dx.doi.org/10.1121/1.1785614.

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3

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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4

Liu, Kaimin. "Simulation analysis of prestressed tensioning whole processon direct constraint method." Functional materials 23, no. 4 (March 24, 2017): 122–26. http://dx.doi.org/10.15407/fm24.01.122.

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5

Chung, D., L. Chan, M. MacDonald, N. Hutchins, and A. Ooi. "A fast direct numerical simulation method for characterising hydraulic roughness." Journal of Fluid Mechanics 773 (May 26, 2015): 418–31. http://dx.doi.org/10.1017/jfm.2015.230.

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We describe a fast direct numerical simulation (DNS) method that promises to directly characterise the hydraulic roughness of any given rough surface, from the hydraulically smooth to the fully rough regime. The method circumvents the unfavourable computational cost associated with simulating high-Reynolds-number flows by employing minimal-span channels (Jiménez & Moin, J. Fluid Mech., vol. 225, 1991, pp. 213–240). Proof-of-concept simulations demonstrate that flows in minimal-span channels are sufficient for capturing the downward velocity shift, that is, the Hama roughness function, predicted by flows in full-span channels. We consider two sets of simulations, first with modelled roughness imposed by body forces, and second with explicit roughness described by roughness-conforming grids. Owing to the minimal cost, we are able to conduct direct numerical simulations with increasing roughness Reynolds numbers while maintaining a fixed blockage ratio, as is typical in full-scale applications. The present method promises a practical, fast and accurate tool for characterising hydraulic resistance directly from profilometry data of rough surfaces.

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6

Khatkevich, Mark. "Direct-flow adder program simulation." Program Systems: Theory and Applications 7, no. 4 (2016): 359–67. http://dx.doi.org/10.25209/2079-3316-2016-7-4-359-367.

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7

Wu, Huang, and Christopher J. Foot. "Direct simulation of evaporative cooling." Journal of Physics B: Atomic, Molecular and Optical Physics 29, no. 8 (April 28, 1996): L321—L328. http://dx.doi.org/10.1088/0953-4075/29/8/003.

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8

Albright, B. J., W. Daughton, Don S. Lemons, Dan Winske, and Michael E. Jones. "Quiet direct simulation of plasmas." Physics of Plasmas 9, no. 5 (May 2002): 1898–904. http://dx.doi.org/10.1063/1.1452732.

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9

Goode, Daniel J. "Direct Simulation of Groundwater Age." Water Resources Research 32, no. 2 (February 1996): 289–96. http://dx.doi.org/10.1029/95wr03401.

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10

Joung, C. G., N. Phan-Thien, and X. J. Fan. "Direct simulation of flexible fibers." Journal of Non-Newtonian Fluid Mechanics 99, no. 1 (April 2001): 1–36. http://dx.doi.org/10.1016/s0377-0257(01)00113-6.

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11

Boyd, I. D., and J. P. W. Stark. "Direct simulation of chemical reactions." Journal of Thermophysics and Heat Transfer 4, no. 3 (July 1990): 391–93. http://dx.doi.org/10.2514/3.192.

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12

Maury, Bertrand. "Direct simulation of aggregation phenomena." Communications in Mathematical Sciences 2, no. 5 (2004): 1–11. http://dx.doi.org/10.4310/cms.2004.v2.n5.a1.

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13

Rotondi, Rossella, and Gino Bella. "Gasoline direct injection spray simulation." International Journal of Thermal Sciences 45, no. 2 (February 2006): 168–79. http://dx.doi.org/10.1016/j.ijthermalsci.2005.06.001.

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14

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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15

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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16

Hewett, Dennis W., and A. Bruce Langdon. "Electromagnetic direct implicit plasma simulation." Journal of Computational Physics 72, no. 1 (September 1987): 121–55. http://dx.doi.org/10.1016/0021-9991(87)90075-1.

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17

Alamatsaz, Arghavan, and Ayyaswamy Venkattraman. "Characterizing deviation from equilibrium in direct simulation Monte Carlo simulations." Physics of Fluids 31, no. 4 (April 2019): 042005. http://dx.doi.org/10.1063/1.5093732.

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18

Liou, William W., and Yichuan Fang. "Forced Couette flow simulations using direct simulation Monte Carlo method." Physics of Fluids 16, no. 12 (December 2004): 4211–20. http://dx.doi.org/10.1063/1.1801092.

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19

Frank, Jason, Benedict Leimkuhler, and Keith W. Myerscough. "Direct control of the small-scale energy balance in two-dimensional fluid dynamics." Journal of Fluid Mechanics 782 (October 7, 2015): 240–59. http://dx.doi.org/10.1017/jfm.2015.526.

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We explore the direct modification of the pseudo-spectral truncation of two-dimensional, incompressible fluid dynamics to maintain a prescribed kinetic energy spectrum. The method provides a means of simulating fluid states with defined spectral properties, for the purpose of matching simulation statistics to given information, arising from observations, theoretical prediction or high-fidelity simulation. In the scheme outlined here, Nosé–Hoover thermostats, commonly used in molecular dynamics, are introduced as feedback controls applied to energy shells of the Fourier-discretized Navier–Stokes equations. As we demonstrate in numerical experiments, the dynamical properties (quantified using autocorrelation functions) are only modestly perturbed by our device, while ensemble dispersion is significantly enhanced compared with simulations of a corresponding truncation incorporating hyperviscosity.

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20

Risher, D. W., L. M. Schutte, and C. F. Runge. "The Use of Inverse Dynamics Solutions in Direct Dynamics Simulations." Journal of Biomechanical Engineering 119, no. 4 (November 1, 1997): 417–22. http://dx.doi.org/10.1115/1.2798288.

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Previous attempts to use inverse dynamics solutions in direct dynamics simulations have failed to replicate the input data of the inverse dynamics problem. Measurement and derivative estimation error, different inverse dynamics and direct dynamics models, and numerical integration error have all been suggested as possible causes of inverse dynamics simulation failure. However, using a biomechanical model of the type typically used in gait analysis applications for inverse dynamics calculations of joint moments, we produce a direct dynamics simulation that exactly matches the measured movement pattern used as input to the inverse dynamic problem. This example of successful inverse dynamics simulation demonstrates that although different inverse dynamics and direct dynamics models may lead to inverse dynamics simulation failure, measurement and derivative estimation error do not. In addition, inverse dynamics simulation failure due to numerical integration errors can be avoided. Further, we demonstrate that insufficient control signal dimensionality (i.e., freedom of the control signals to take on different “shapes”), a previously unrecognized cause of inverse dynamics simulation failure, will cause inverse dynamics simulation failure even with a perfect model and perfect data, regardless of sampling frequency.

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21

Prasad, Y. V. S. Durga, and K. Venkateswarlu. "Simulation of Direct Sequence Spread Spectrum for Wireless Communication Systems using Simulink." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 851–55. http://dx.doi.org/10.31142/ijtsrd14118.

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22

Zendler, Andreas, and Manuel Gohl. "Direct Instruction vs. Computer Simulation and their Learning Outcome in Engineering Education." International Journal of Engineering Education 1, no. 2 (December 15, 2019): 91–98. http://dx.doi.org/10.14710/ijee.1.2.91-98.

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Answers to the questions of which instructional methods are suitable for school, what instructional methods should be applied in teaching individual subjects and how instructional methods support the act of learning represent challenges to general education and education in individual subjects. This study focuses on the empirical examination of learning outcome in engineering educationwith respect to two instructional methods: direct instruction and computer simulation. A CRF 2x2 design is used to control instructional method and class context. Learning outcome on bridge construction is assessed with reference to the optics of bridge and the material usage for the bridge. The empirical findings show that learning with direct instruction was superior to computer simulation.

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23

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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24

Moss, James N., and Graeme A. Bird. "Direct Simulation Monte Carlo Simulations of Hypersonic Flows With Shock Interactions." AIAA Journal 43, no. 12 (December 2005): 2565–73. http://dx.doi.org/10.2514/1.12532.

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25

Degond, Pierre, and Giacomo Dimarco. "Fluid simulations with localized boltzmann upscaling by direct simulation Monte-Carlo." Journal of Computational Physics 231, no. 6 (March 2012): 2414–37. http://dx.doi.org/10.1016/j.jcp.2011.11.030.

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26

Ji, Hongyu, Xinhai Xu, Xiaowei Guo, Shuai Ye, Juan Chen, and Xuejun Yang. "Direct FVM Simulation for Sound Propagation in an Ideal Wedge." Shock and Vibration 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/3703974.

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The sound propagation in a wedge-shaped waveguide with perfectly reflecting boundaries is one of the few range-dependent problems with an analytical solution. This provides a benchmark for the theoretical and computational studies on the simulation of ocean acoustic applications. We present a direct finite volume method (FVM) simulation for the ideal wedge problem, and both time and frequency domain results are analyzed. We also study the broadband problem with large-scale parallel simulations. The results presented in this paper validate the accuracy of the numerical techniques and show that the direct FVM simulation could be applied to large-scale complex acoustic applications with a high performance computing platform.

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27

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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28

INOUE, Osamu. "Direct Navier-Stokes Simulation of Sounds." Journal of the Visualization Society of Japan 20, no. 1Supplement (2000): 433–36. http://dx.doi.org/10.3154/jvs.20.1supplement_433.

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29

Hash, David B., and H. A. Hassan. "Direct simulation with vibration-dissociation coupling." Journal of Thermophysics and Heat Transfer 7, no. 4 (October 1993): 680–86. http://dx.doi.org/10.2514/3.477.

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30

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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31

Wang, Liqun, and John P. W. Stark. "Direct Simulation of Space Debris Evolution." Journal of Spacecraft and Rockets 36, no. 1 (January 1999): 114–23. http://dx.doi.org/10.2514/2.3423.

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32

Alexander, Francis J., and Alejandro L. Garcia. "The Direct Simulation Monte Carlo Method." Computers in Physics 11, no. 6 (1997): 588. http://dx.doi.org/10.1063/1.168619.

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33

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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34

Hobrecht, Hendrik, and Alfred Hucht. "Direct simulation of critical Casimir forces." EPL (Europhysics Letters) 106, no. 5 (June 1, 2014): 56005. http://dx.doi.org/10.1209/0295-5075/106/56005.

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35

Albright, B. J., D. Winske, D. S. Lemons, W. Daughton, and M. E. Jones. "Quiet direct simulation of coulomb collisions." IEEE Transactions on Plasma Science 31, no. 1 (February 2003): 19–24. http://dx.doi.org/10.1109/tps.2003.808886.

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36

Brosa, U. "Direct simulation of a permeable membrane." Journal de Physique 51, no. 11 (1990): 1051–53. http://dx.doi.org/10.1051/jphys:0199000510110105100.

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37

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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38

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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39

Danaila, Ionut, and Bendiks Jan Boersma. "Direct numerical simulation of bifurcating jets." Physics of Fluids 12, no. 5 (May 2000): 1255–57. http://dx.doi.org/10.1063/1.870377.

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40

Statsenko, V. P., Yu V. Yanilkin, and V. A. Zhmaylo. "Direct numerical simulation of turbulent mixing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, no. 2003 (November 28, 2013): 20120216. http://dx.doi.org/10.1098/rsta.2012.0216.

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The results of three-dimensional numerical simulations of turbulent flows obtained by various authors are reviewed. The paper considers the turbulent mixing (TM) process caused by the development of the main types of instabilities: those due to gravitation (with either a fixed or an alternating-sign acceleration), shift and shock waves. The problem of a buoyant jet is described as an example of the mixed-type problem. Comparison is made with experimental data on the TM zone width, profiles of density, velocity and turbulent energy and degree of homogeneity.

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41

Delbende, Ivan, Maurice Rossi, and Benjamin Piton. "Direct numerical simulation of helical vortices." International Journal of Engineering Systems Modelling and Simulation 4, no. 1/2 (2012): 94. http://dx.doi.org/10.1504/ijesms.2012.044847.

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42

Karabulut, Hasan. "Direct simulation for a homogeneous gas." American Journal of Physics 75, no. 1 (January 2007): 62–66. http://dx.doi.org/10.1119/1.2366735.

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43

Gilli, Manfred, and Giorgio Pauletto. "Sparse direct methods for model simulation." Journal of Economic Dynamics and Control 21, no. 6 (June 1997): 1093–111. http://dx.doi.org/10.1016/s0165-1889(97)00018-3.

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44

Das, Arup, and Joseph Mathew. "Direct numerical simulation of turbulent spots." Computers & Fluids 30, no. 5 (June 2001): 533–41. http://dx.doi.org/10.1016/s0045-7930(01)00004-4.

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45

Fan, Xijun, N. Phan-Thien, and Rong Zheng. "A direct simulation of fibre suspensions." Journal of Non-Newtonian Fluid Mechanics 74, no. 1-3 (January 1998): 113–35. http://dx.doi.org/10.1016/s0377-0257(97)00050-5.

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46

da Costa Neves, Carlos Guilherme, Aly Ferreira Flores Filho, Mateus Felipe Goettems, and Pablo Augusto Machado Borges. "Pseudo direct drive simulation and analysis." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 5 (September 3, 2018): 1722–31. http://dx.doi.org/10.1108/compel-01-2018-0008.

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Purpose The purpose of this paper is to simulate a pseudo direct drive (PDD) by using permanent magnet arrays. Design/methodology/approach A 2D finite element model of the PDD was built. The static magnetic torque on air-gaps was obtained by Coulomb’s virtual work method using Ansys Maxwell software. To simulate the relative movement between input rotor and output rotor, two movement bands were applied. Findings The PDD’s torque relation was proved. The PDD simulated presents low cogging torque. Practical implications The manufacturing steps and materials applied in a construction of a coaxial magnetic gear, PDD’s main component, are presented. Originality/value The value of this paper is to present the numerical techniques applied to simulate a PDD and the manufacturing steps and materials applied in a construction of a coaxial magnetic gear.

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47

Welch, Samuel W. J. "Direct simulation of vapor bubble growth." International Journal of Heat and Mass Transfer 41, no. 12 (June 1998): 1655–66. http://dx.doi.org/10.1016/s0017-9310(97)00285-8.

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48

Lee, Duckwoong, Hayong Shin, and Byoung K. Choi. "Mediator approach to direct workflow simulation." Simulation Modelling Practice and Theory 18, no. 5 (May 2010): 650–62. http://dx.doi.org/10.1016/j.simpat.2010.01.009.

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49

Fearnhead, Paul. "Direct simulation for discrete mixture distributions." Statistics and Computing 15, no. 2 (April 2005): 125–33. http://dx.doi.org/10.1007/s11222-005-6204-7.

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50

Hu, Howard H., Daniel D. Joseph, and Marcel J. Crochet. "Direct simulation of fluid particle motions." Theoretical and Computational Fluid Dynamics 3, no. 5 (1992): 285–306. http://dx.doi.org/10.1007/bf00717645.

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