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Articoli di riviste sul tema "Flow modeling"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Sindeev, S. V., S. V. Frolov, D. Liepsch, and A. Balasso. "MODELING OF FLOW ALTERATIONS INDUCED BY FLOW-DIVERTER USING MULTISCALE MODEL OF HEMODYNAMICS." Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 23, no. 1 (2017): 025–32. http://dx.doi.org/10.17277/vestnik.2017.01.pp.025-032.

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2

Elizabeth Philip, Babitha, and Jaseela K H. "Traffic Flow Modeling and Study of Traffic Congestion." International Journal of Scientific Engineering and Research 4, no. 1 (2016): 67–68. https://doi.org/10.70729/ijser15667.

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3

Giovangigli, Vincent. "Multicomponent flow modeling." Science China Mathematics 55, no. 2 (2011): 285–308. http://dx.doi.org/10.1007/s11425-011-4346-y.

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4

Carr, John, and Mark Howells. "Modeling pig flow." Livestock 21, no. 3 (2016): 180–86. http://dx.doi.org/10.12968/live.2016.21.3.180.

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5

Melikyan, V. Sh, V. D. Hovhannisyan, M. T. Grigoryan, A. A. Avetisyan, and H. T. Grigoryan. "Real Number Modeling Flow of Digital to Analog Converter." Proceedings of Universities. Electronics 26, no. 2 (2021): 144–53. http://dx.doi.org/10.24151/1561-5405-2021-26-2-144-153.

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This work introduces a flow of digital to analog (DAC) implementation in digital environment of SystemVerilog. Unlike the classical Verilog models, this digital to analog converter behavioral model is analog. Such type of model creation in general is called real number modeling. The DAC model is verified by the HSPICE and SystemVerilog Co-simulations which show its applicability in different register transfer level verification environments. The digital environment with real number modeled DAC runs around 8 times faster than the same environment with SPICE model. At the same time, the output s

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6

Xiong, Jinbiao, Seiichi Koshizuka, and Mikio Sakai. "ICONE19-43282 TURBULENCE MODELING FOR MASS TRANSFER IN SEPARATED AND REATTACHING FLOWS FOR FLOW-ACCELERATED CORROSION." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_119.

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7

Pohll, G. M., and J. C. Guitjens. "Modeling Regional Flow and Flow to Drains." Journal of Irrigation and Drainage Engineering 120, no. 5 (1994): 925–39. http://dx.doi.org/10.1061/(asce)0733-9437(1994)120:5(925).

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8

Khan, Sarosh I., and Pawan Maini. "Modeling Heterogeneous Traffic Flow." Transportation Research Record: Journal of the Transportation Research Board 1678, no. 1 (1999): 234–41. http://dx.doi.org/10.3141/1678-28.

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9

Alley, R. B., and I. Joughin. "Modeling Ice-Sheet Flow." Science 336, no. 6081 (2012): 551–52. http://dx.doi.org/10.1126/science.1220530.

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10

Ninković, Vladimir. "Dynamic migration flow modeling." Security Dialogues /Безбедносни дијалози 1-2 (2017): 149–67. http://dx.doi.org/10.47054/sd171-20149n.

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11

Bollinger, L. Andrew, Chris Davis, Igor Nikolić, and Gerard P. J. Dijkema. "Modeling Metal Flow Systems." Journal of Industrial Ecology 16, no. 2 (2011): 176–90. http://dx.doi.org/10.1111/j.1530-9290.2011.00413.x.

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12

Balcerak, Ernie. "Modeling ice stream flow." Eos, Transactions American Geophysical Union 92, no. 49 (2011): 464. http://dx.doi.org/10.1029/2011eo490018.

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13

King, Richard B., Gary M. Raymond, and James B. Bassingthwaighte. "Modeling blood flow heterogeneity." Annals of Biomedical Engineering 24, no. 3 (1996): 352–72. http://dx.doi.org/10.1007/bf02660885.

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14

Yule, A. J., M. Damou, and D. Kostopoulos. "Modeling confined jet flow." International Journal of Heat and Fluid Flow 14, no. 1 (1993): 10–17. http://dx.doi.org/10.1016/0142-727x(93)90035-l.

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15

Slimani, Nadia, Ilham Slimani, Nawal Sbiti, and Mustapha Amghar. "Machine Learning and statistic predictive modeling for road traffic flow." International Journal of Traffic and Transportation Management 03, no. 01 (2021): 17–24. http://dx.doi.org/10.5383/jttm.03.01.003.

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Abstract (sommario):

Traffic forecasting is a research topic debated by several researchers affiliated to a range of disciplines. It is becoming increasingly important given the growth of motorized vehicles on the one hand, and the scarcity of lands for new transportation infrastructure on the other. Indeed, in the context of smart cities and with the uninterrupted increase of the number of vehicles, road congestion is taking up an important place in research. In this context, the ability to provide highly accurate traffic forecasts is of fundamental importance to manage traffic, especially in the context of smart

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16

Oussoren, Andrew, Jovica Riznic, and Shripad Revankar. "ICONE23-2115 MODELING CRITICAL FLOW IN CRACK GEOMETRIES USING TRACE." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2015.23 (2015): _ICONE23–2—_ICONE23–2. http://dx.doi.org/10.1299/jsmeicone.2015.23._icone23-2_44.

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17

Supa-Amornkul, Savalaxs, Frank R. Steward, and Derek H. Lister. "Modeling Two-Phase Flow in Pipe Bends." Journal of Pressure Vessel Technology 127, no. 2 (2004): 204–9. http://dx.doi.org/10.1115/1.1904063.

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In order to have a better understanding of the interaction between the two-phase steam-water coolant in the outlet feeder pipes of the primary heat transport system of some CANDU reactors and the piping material, themalhydraulic modelling is being performed with a commercial computational fluid dynamics (CFD) code—FLUENT 6.1. The modeling has attempted to describe the results of flow visualization experiments performed in a transparent feeder pipe with air-water mixtures at temperatures below 55°C. The CFD code solves two sets of transport equations—one for each phase. Both phases are first tr

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18

Rad, Farhad, Midia Reashadi, and Ahmad Khademzadeh. "Flow Control Modeling in WiNoC." Journal of Iranian Association of Electrical and Electronics Engineers 19, no. 2 (2022): 109–19. http://dx.doi.org/10.52547/jiaeee.19.2.109.

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19

Khudjaev, M., and A. Rakhimov. "Gas flow modeling in wells." Journal of Physics: Conference Series 2131, no. 5 (2021): 052075. http://dx.doi.org/10.1088/1742-6596/2131/5/052075.

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Abstract The topic of research is gas flow modeling in wells. The subject of the study is to determine the dynamic parameters of gas in a gas well, taking into account changes in the ambient temperature and gravity. Mathematical and numerical modeling of gas flow in a gas well is performed; a numerical algorithm to determine gas pressure in a gas well is built. This algorithm allows studying the state of production and injection wells with varying conditions at the wellhead and at the lower end of the well. Research methods are based on the energy equations of the transported gas; the mass con

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20

Brill, James P. "Modeling Multiphase Flow in Pipes." Way Ahead 06, no. 02 (2010): 16–17. http://dx.doi.org/10.2118/0210-016-twa.

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21

Wang, Xiaoming, Xiaoyong Li, and Dmitri Loguinov. "Modeling Residual-Geometric Flow Sampling." IEEE/ACM Transactions on Networking 21, no. 4 (2013): 1090–103. http://dx.doi.org/10.1109/tnet.2012.2231435.

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22

Wei, X., Y. Zhao, Z. Fan, et al. "Lattice-based flow field modeling." IEEE Transactions on Visualization and Computer Graphics 10, no. 6 (2004): 719–29. http://dx.doi.org/10.1109/tvcg.2004.48.

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23

Langevin, Christian D. "Modeling Axisymmetric Flow and Transport." Ground Water 46, no. 4 (2008): 579–90. http://dx.doi.org/10.1111/j.1745-6584.2008.00445.x.

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24

Bredehoeft, John. "Modeling Groundwater Flow-The Beginnings." Ground Water 50, no. 3 (2012): 325–29. http://dx.doi.org/10.1111/j.1745-6584.2012.00940.x.

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25

Caputo, Antonio C., and Pacifico M. Pelagagge. "Flow Modeling in Fabric Filters." Journal of Porous Media 2, no. 2 (1999): 191–204. http://dx.doi.org/10.1615/jpormedia.v2.i2.70.

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26

Freeze, Allan. "Modeling groundwater flow and pollution." Canadian Geotechnical Journal 25, no. 4 (1988): 851–52. http://dx.doi.org/10.1139/t88-098.

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27

Villaret, C., and A. G. Davies. "Modeling Sediment-Turbulent Flow Interactions." Applied Mechanics Reviews 48, no. 9 (1995): 601–9. http://dx.doi.org/10.1115/1.3023148.

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Models of widely differing complexity have been used in recent years to quantify sediment transport processes for engineering applications. This paper presents a review of these model types, from simple eddy viscosity models involving the “passive scalar hypothesis” for sediment predication, to complex two-phase flow models. The specific points addressed in this review include, for the suspension layer, the bottom boundary conditions, the relationship between the turbulent eddy viscosity and particle diffusivity, the damping of turbulence by vertical gradients in suspended sediment concentrati

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28

Lagha, M., and P. Manneville. "Modeling transitional plane Couette flow." European Physical Journal B 58, no. 4 (2007): 433–47. http://dx.doi.org/10.1140/epjb/e2007-00243-y.

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29

Abdullah, Makola M., Kenneth K. Walsh, Shannon Grady, and G. Dale Wesson. "Modeling Flow around Bluff Bodies." Journal of Computing in Civil Engineering 19, no. 1 (2005): 104–7. http://dx.doi.org/10.1061/(asce)0887-3801(2005)19:1(104).

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30

Long, J., and P. Chen. "MODELING OF CONCENTRATED SUSPENSION FLOW." Transactions of the Canadian Society for Mechanical Engineering 24, no. 1B (2000): 151–67. http://dx.doi.org/10.1139/tcsme-2000-0011.

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31

Abbott, M. B. "Range of Tidal Flow Modeling." Journal of Hydraulic Engineering 123, no. 4 (1997): 257–77. http://dx.doi.org/10.1061/(asce)0733-9429(1997)123:4(257).

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32

Molenaar, J., and R. J. Koopmans. "Modeling polymer melt‐flow instabilities." Journal of Rheology 38, no. 1 (1994): 99–109. http://dx.doi.org/10.1122/1.550603.

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33

Combinido, Jay Samuel L., and May T. Lim. "Modeling U-turn traffic flow." Physica A: Statistical Mechanics and its Applications 389, no. 17 (2010): 3640–47. http://dx.doi.org/10.1016/j.physa.2010.04.009.

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34

Verdier, Claude, CÃ©cile Couzon, Alain Duperray, and Pushpendra Singh. "Modeling cell interactions under flow." Journal of Mathematical Biology 58, no. 1-2 (2008): 235–59. http://dx.doi.org/10.1007/s00285-008-0164-4.

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35

Greenspan, D. "Quasimolecular modeling of cavity flow." Computers & Mathematics with Applications 14, no. 4 (1987): 239–48. http://dx.doi.org/10.1016/0898-1221(87)90131-3.

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36

Sopasakis, A. "Unstable flow theory and modeling,." Mathematical and Computer Modelling 35, no. 5-6 (2002): 623–41. http://dx.doi.org/10.1016/s0895-7177(01)00186-8.

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37

Sopasakis, A. "Unstable flow theory and modeling." Mathematical and Computer Modelling 35, no. 5-6 (2002): 623–41. http://dx.doi.org/10.1016/s0895-7177(02)80025-5.

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38

Hutter, K., B. Svendsen, and D. Rickenmann. "Debris flow modeling: A review." Continuum Mechanics and Thermodynamics 8, no. 1 (1994): 1–35. http://dx.doi.org/10.1007/bf01175749.

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39

Konikow, Leonard F., and James W. Mercer. "Groundwater flow and transport modeling." Journal of Hydrology 100, no. 1-3 (1988): 379–409. http://dx.doi.org/10.1016/0022-1694(88)90193-x.

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40

Pandit, Ashok, and Jean M. Abi Aoun. "Numerical Modeling of Axisymmetric Flow." Ground Water 32, no. 3 (1994): 458–64. http://dx.doi.org/10.1111/j.1745-6584.1994.tb00663.x.

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41

Konikow, Leonard F. "Modeling Groundwater Flow and Pollution." Eos, Transactions American Geophysical Union 69, no. 45 (1988): 1557. http://dx.doi.org/10.1029/88eo01182.

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42

Patzák, B., and Z. Bittnar. "Modeling of fresh concrete flow." Computers & Structures 87, no. 15-16 (2009): 962–69. http://dx.doi.org/10.1016/j.compstruc.2008.04.015.

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43

Park, Chul Woong, Jaeman Park, Naree Kim, and Youngchul Kim. "Modeling water flow on Façade." Automation in Construction 93 (September 2018): 265–79. http://dx.doi.org/10.1016/j.autcon.2018.05.021.

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44

Kemper, Benjamin, Jeroen de Mast, and Michel Mandjes. "Modeling process flow using diagrams." Quality and Reliability Engineering International 26, no. 4 (2009): 341–49. http://dx.doi.org/10.1002/qre.1061.

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45

Miller, Andrzej, Krzysztof Badyda, Jaroslaw Dyjas, and Karol Miller. "Modeling of flow system dynamics." Journal of Thermal Science 13, no. 1 (2004): 56–61. http://dx.doi.org/10.1007/s11630-004-0009-4.

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46

Gibson, M. M. "Turbulence measurements and flow modeling." International Journal of Heat and Fluid Flow 8, no. 4 (1987): 339. http://dx.doi.org/10.1016/0142-727x(87)90078-6.

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47

Andersson, H. I., and B. A. Pettersson. "Modeling plane turbulent Couette flow." International Journal of Heat and Fluid Flow 15, no. 6 (1994): 447–55. http://dx.doi.org/10.1016/0142-727x(94)90003-5.

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48

Wang, Yanlin, Bingde Chen, Yanping Huang, and Junfeng Wang. "ICONE19-43704 Modeling on Bubbly to Churn Flow Pattern Transition for Vertical Upward Flows in Narrow Rectangular Channel." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_273.

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49

Kumar Upadhyay, Ashutosh. "Dynamic Modeling of Blood Flow and Pressure in the Cardiovascular System." International Journal of Science and Research (IJSR) 13, no. 5 (2024): 1192–99. http://dx.doi.org/10.21275/sr24518032944.

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50

V R Nandigana, Vishal. "Analytical Modeling of Electroosmotic and Ion Transport Flow in Nanofluidic Channels." International Journal of Science and Research (IJSR) 10, no. 5 (2021): 1194–98. https://doi.org/10.21275/sr21526190405.

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