Suchergebnisse - "computational methods in fluid dynamics"

Navier–Stokes Equations vs. ψ–Hamzah Equation: Superiority Analysis

Autoren: JALALI, SEYED RASOUL

Schlagwörter: Navier-Stokes, ψ-Hamzah, fluid dynamics, fractional derivatives, memory-aware fields, ψ-time, turbulence, Reynolds number, convergence speed, data fitting, stability, noise resistance, non-linear flows, boundary layers, non-local interactions, chaotic systems, multi-scale systems, fluid flow modeling, turbulent flows, computational fluid dynamics, fractional calculus, mathematical modeling, memory dynamics, complex systems, chaos theory, Navier-Stokes superiority, ψ-Hamzah equation, fractional-order models, advanced fluid mechanics, turbulence modeling, boundary-dominated flows, fluid dynamics equations, high Reynolds number, numerical simulations, theoretical analysis, fluid flow simulation, memory effects, ψ-Hamzah model advantages, complex network modeling, turbulent fluid dynamics, fractal behavior, non-linear equations, non-ideal fluid dynamics, ψ-Hamzah theory, cognitive modeling, fractal field interactions, engineering simulations, complex network systems, modeling of turbulent systems, physics of fluids, chaotic behavior modeling, ψ-Hamzah equation superiority, high-dimensional flows, fluid stability analysis, numerical methods in fluid dynamics, mathematical physics, time-dependent dynamics, predictive modeling, scientific simulations, advanced computational methods, mathematical fluid dynamics, system theory, cognitive fluid dynamics, biophysical modeling, economic system modeling, multi-disciplinary simulations, memory-driven systems, fluid mechanics breakthroughs, ψ-Hamzah fluid model, field memory modeling, high-performance computing, multi-scale fluid modeling, nonlinear fluid models, engineering fluid dynamics, turbulence prediction, ψ-Hamzah applications, advanced computational modeling, turbulence equation modeling, data-driven modeling, ψ-Hamzah analysis, complex system behavior, hydrodynamic simulations, chaos in fluid dynamics, theoretical fluid mechanics, future fluid dynamics research, fractal dynamics, computational physics, fluid dynamics research, memory models, fractal fluid behavior, advanced turbulence models, system dynamics modeling, multi-dimensional fluid systems, non-local fluid equations, high-dimensional systems, memory effects in fluids, systems with memory, turbulent model comparison, ψ-Hamzah turbulence, boundary behavior modeling, non-linear fluid equations, fractal fluid systems, chaos in fluid modeling, cognitive fluid theory, complex fluid dynamics, system modeling, fractal theory in fluid dynamics, chaos in fluid systems, modeling complex phenomena, fluid model analysis, non-local behavior in fluid systems, mathematical modeling in fluid dynamics, fluid memory systems, fluid flow prediction, physics of turbulence, fractal-based equations, computational fluid physics, field memory dynamics, non-local systems, turbulence simulation techniques, high-performance fluid modeling, nonlinear flow simulation, memory in computational systems, engineering fluid equations, future of fluid modeling, advanced fluid dynamics, fluid memory fields, chaos modeling in physics, fractal-based turbulence modeling, system modeling and dynamics, high-dimensional turbulence

Simulation of the Asphaltene Deposition Rate in Oil Wells under Different Multiphase Flow Condition

Autoren: Xiaoming Wang Pingchuan Dong Youheng Zhang et al.

Quelle: Energies, Vol 17, Iss 1, p 121 (2023)

Schlagwörter: multiphase flow, flow pattern, VOSET model, asphaltene deposition average deposition rate, computational methods in fluid dynamics, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/1/121; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/ad9a02b13364486d82404db8e61ae67f

A library for wall-modelled large-eddy simulation based on OpenFOAM technology

Autoren: Saleh Rezaeiravesh Mattias Liefvendahl Timofey Mukha

Quelle: Mukha, T, Rezaeiravesh, S & Liefvendahl, M 2019, ' A library for wall-modelled large-eddy simulation based on OpenFOAM technology ', Computer Physics Communications, vol. 239, pp. 204-224 . https://doi.org/10.1016/j.cpc.2019.01.016

Schlagwörter: Wall modeling, large-eddy simulation, 0103 physical sciences, Fluid Dynamics (physics.flu-dyn), OpenFOAM, FOS: Physical sciences, Physics - Fluid Dynamics, computational methods in fluid dynamics, boundary layer turbulence, 01 natural sciences

Zugangs-URL: http://arxiv.org/pdf/1807.11786
http://arxiv.org/abs/1807.11786
https://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1235840
http://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1235840
http://doi.org/10.1016/j.cpc.2019.01.016
https://arxiv.org/abs/1807.11786v1
https://ui.adsabs.harvard.edu/abs/2019CoPhC.239..204M/abstract
https://www.arxiv.org/pdf/1807.11786
http://www.scopus.com/inward/record.url?eid=2-s2.0-85061639309&partnerID=MN8TOARS
https://doi.org/10.1016/j.cpc.2019.01.016
https://research.manchester.ac.uk/en/publications/baeae773-9ccf-47a6-9118-00b0bc8e276f

Lattice Boltzmann simulations of gravity currents

Autoren: Ottolenghi, L. Prestininzi, P. Montessori, A. et al.

Quelle: European Journal of Mechanics - B/Fluids. 67:125-136

Schlagwörter: Buoyancy-driven flows, Computational methods in fluid dynamics, Lattice-Boltzmann method, Mathematical Physics, Physics and Astronomy (all), 0103 physical sciences, 01 natural sciences, 0105 earth and related environmental sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://ui.adsabs.harvard.edu/abs/2018EJMF...67..125O/abstract
https://www.sciencedirect.com/science/article/abs/pii/S0997754617301577
https://core.ac.uk/display/149591966
https://iris.uniroma3.it/handle/11590/338565

A Particle-Dynamics Study of Dissipation in Colliding Clouds of Ultracold Fermions

Autoren: Succi, Sauro Tosi, Mario P.

Quelle: Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2004 Aug . 362(1821), 1605-1612.

Zugangs-URL: https://www.jstor.org/stable/4142366

Computational performance of SequenceL coding of the lattice Boltzmann method for multi-particle flow simulations

Autoren: Basagaoglu Hakan Blount Justin Blount Jarred et al.

Quelle: Computer physics communications 213 (2017): 92–99. doi:10.1016/j.cpc.2016.12.012
info:cnr-pdr/source/autori:Basagaoglu, Hakan; Blount, Justin; Blount, Jarred; Nelson, Bryant; Succi, Sauro; Westhart, Phil M.; Harwell, John R./titolo:Computational performance of SequenceL coding of the lattice Boltzmann method for multi-particle flow simulations/doi:10.1016%2Fj.cpc.2016.12.012/rivista:Computer physics communications/anno:2017/pagina_da:92/pagina_a:99/intervallo_pagine:92–99/volume:213

Schlagwörter: SequenceL, 0103 physical sciences, Hydrodynamics, Computational methods in fluid dynamics, 01 natural sciences, Lattice-Boltzmann

Zugangs-URL: https://ui.adsabs.harvard.edu/abs/2017CoPhC.213...92B/abstract
https://dblp.uni-trier.de/db/journals/cphysics/cphysics213.html#BasagaogluBBNSW17
https://doi.org/10.1016/j.cpc.2016.12.012
https://www.sciencedirect.com/science/article/pii/S0010465516303915
https://hdl.handle.net/20.500.14243/354180
https://doi.org/10.1016/j.cpc.2016.12.012

Enhanced computational performance of the lattice Boltzmann model for simulating micron- and submicron-size particle flows and non-Newtonian fluid flows

Autoren: Basagaoglu Hakan Harwell John R Hoa Nguyen et al.

Quelle: Computer physics communications 213 (2017): 64–71. doi:10.1016/j.cpc.2016.12.008
info:cnr-pdr/source/autori:Basagaoglu, Hakan; Harwell, John R.; Hoa Nguyen; Succi, Sauro/titolo:Enhanced computational performance of the lattice Boltzmann model for simulating micron-and submicron-size particle flows and non-Newtonian fluid flows/doi:10.1016%2Fj.cpc.2016.12.008/rivista:Computer physics communications/anno:2017/pagina_da:64/pagina_a:71/intervallo_pagine:64–71/volume:213

Schlagwörter: Optimization, 0103 physical sciences, Hydrodynamics, Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Physics - Fluid Dynamics, FORTRAN, Computational Physics (physics.comp-ph), Computational methods in fluid dynamics, Physics - Computational Physics, 01 natural sciences, Lattice-Boltzmann

Zugangs-URL: http://arxiv.org/pdf/2006.12910
http://arxiv.org/abs/2006.12910
https://hdl.handle.net/20.500.14243/354178
https://doi.org/10.1016/j.cpc.2016.12.008

Flow simulations with multi-particle collision dynamics

Autoren: DE ANGELIS, ELISABETTA M. Chinappi G. Graziani et al.

Weitere Verfasser: DE ANGELIS, ELISABETTA M. Chinappi G. Graziani et al.

Quelle: Meccanica. 47:2069-2077

Schlagwörter: Multi-particle collision dynamics, Settore ING-IND/06 - FLUIDODINAMICA, 0103 physical sciences, COMPUTATIONAL METHODS IN FLUID DYNAMICS ·, MULTI-PARTICLE COLLISION DYNAMICS, computational fluid dynamics, computational methods in fluid dynamics, multi-particle collision dynamics, viscous flows, Computational methods in fluid dynamic, 01 natural sciences, Computational methods in fluid dynamics

Dateibeschreibung: application/pdf

Zugangs-URL: https://link.springer.com/article/10.1007%2Fs11012-012-9576-8
https://core.ac.uk/display/54456087
https://hdl.handle.net/2108/247392
https://doi.org/10.1007/s11012-012-9576-8
https://hdl.handle.net/11573/480895
http://www.scopus.com/inward/record.url?eid=2-s2.0-84864438779&partnerID=65&md5=8a4fc421aa30cee2e4418fb48791365f
https://doi.org/10.1007/s11012-012-9576-8

Combined effects of fluid type and particle shape on particles flow in microfluidic platforms

Autoren: Basagaoglu H Blount J Succi S et al.

Quelle: Microfluidics and nanofluidics (Internet) 23 (2019). doi:10.1007/s10404-019-2251-9
info:cnr-pdr/source/autori:Basagaoglu H.; Blount J.; Succi S.; Freitas C.J./titolo:Combined effects of fluid type and particle shape on particles flow in microfluidic platforms/doi:10.1007%2Fs10404-019-2251-9/rivista:Microfluidics and nanofluidics (Internet)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:23

Schlagwörter: Computational methods in fluid dynamics, Hydrodynamics, Hydraulics, Hydrostatics, FOS: Physical sciences, Computational Physics (physics.comp-ph), Physics - Computational Physics

Zugangs-URL: http://arxiv.org/pdf/2006.12216
http://arxiv.org/abs/2006.12216
https://arxiv.org/pdf/2006.12216v1
http://export.arxiv.org/pdf/2006.12216
https://arxiv.org/abs/2006.12216
http://ui.adsabs.harvard.edu/abs/2020arXiv200612216B/abstract
https://link.springer.com/article/10.1007%2Fs10404-019-2251-9
https://hdl.handle.net/20.500.14243/367208
http://www.scopus.com/inward/record.url?eid=2-s2.0-85066464026&partnerID=q2rCbXpz
https://doi.org/10.1007/s10404-019-2251-9

Lattice Boltzmann simulations of vortex entrapment of particles in a microchannel with curved or flat edges

Autoren: Basagaoglu Hakan Carrola John T Jr Freitas Christopher J et al.

Quelle: Microfluidics and nanofluidics
18 (2015): 1165–1175. doi:10.1007/s10404-014-1509-5
info:cnr-pdr/source/autori:Basagaoglu, Hakan; Carrola, John T., Jr.; Freitas, Christopher J.; Basagaoglu, Berkay; Succi, Sauro/titolo:Lattice Boltzmann simulations of vortex entrapment of particles in a microchannel with curved or flat edges/doi:10.1007%2Fs10404-014-1509-5/rivista:Microfluidics and nanofluidics (Print)/anno:2015/pagina_da:1165/pagina_a:1175/intervallo_pagine:1165–1175/volume:18

Schlagwörter: 13. Climate action, 0103 physical sciences, Hydrodynamics, Vortex entrapment, Computational methods in fluid dynamics, 16. Peace & justice, 01 natural sciences

Zugangs-URL: https://link.springer.com/article/10.1007/s10404-014-1509-5/fulltext.html
https://link.springer.com/article/10.1007/s10404-014-1509-5
https://hdl.handle.net/20.500.14243/305188
https://doi.org/10.1007/s10404-014-1509-5

Numerical simulation of flows past flat plates using volume penalization

Autoren: Schneider, Kai Paget-Goy, Mickaël Verga, Alberto et al.

Weitere Verfasser: Schneider, Kai Paget-Goy, Mickaël Verga, Alberto et al.

Quelle: Computational and Applied Mathematics. 33:481-495

Schlagwörter: [PHYS.PHYS.PHYS-FLU-DYN]Physics [physics]/Physics [physics]/Fluid Dynamics [physics.flu-dyn], Other numerical methods (fluid mechanics), free shear layers, [PHYS.PHYS.PHYS-FLU-DYN] Physics [physics]/Physics [physics]/Fluid Dynamics [physics.flu-dyn], computational methods in fluid dynamics, vortex dynamics, wavelets, 01 natural sciences, spectral methods, Numerical methods for wavelets, instability of shear layers, 0103 physical sciences, Viscous vortex flows, Fictitious domain methods for initial value and initial-boundary value problems involving PDEs, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs

Dateibeschreibung: application/xml; application/pdf

Zugangs-URL: https://hal-amu.archives-ouvertes.fr/hal-01500522/file/Schneider-2014fk.pdf
https://zbmath.org/6393151
https://doi.org/10.1007/s40314-013-0076-9
https://hal-amu.archives-ouvertes.fr/hal-01500522/document
https://zenodo.org/record/33447/files/article.pdf
https://hal-amu.archives-ouvertes.fr/hal-01500522
https://hal.archives-ouvertes.fr/hal-01299239
https://link.springer.com/article/10.1007/s40314-013-0076-9
https://link.springer.com/article/10.1007/s40314-013-0076-9/fulltext.html

Empirical evidences of a common multifractal signature in economic, biological and physical systems

Autoren: Pont, Oriol Turiel, Antonio Perez-Vicente, Conrad

Weitere Verfasser: Pont, Oriol Turiel, Antonio Perez-Vicente, Conrad

Quelle: Digital.CSIC. Repositorio Institucional del CSIC
instname

Schlagwörter: Fractals in fluid dynamics, [PHYS.COND.CM-SM] Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech], 13. Climate action, 0103 physical sciences, Multiplicative cascade, Systems obeying scaling laws, 14. Life underwater, [MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA], Multifractal, Computational methods in fluid dynamics, 01 natural sciences, Turbulence modeling

Dateibeschreibung: 162733 bytes; application/pdf

Zugangs-URL: https://hal.inria.fr/inria-00438521/file/physA2011.pdf
http://hdl.handle.net/10261/15382
https://inria.hal.science/inria-00438521v1
https://doi.org/10.1016/j.physa.2009.01.041
https://inria.hal.science/inria-00438521v1/document
https://hal.inria.fr/inria-00438521
https://econpapers.repec.org/article/eeephsmap/v_3a388_3ay_3a2009_3ai_3a10_3ap_3a2025-2035.htm
https://hal.inria.fr/inria-00438521/document
https://ui.adsabs.harvard.edu/abs/2009PhyA..388.2025P/abstract
https://www.sciencedirect.com/science/article/pii/S0378437109000880
https://ideas.repec.org/a/eee/phsmap/v388y2009i10p2025-2035.html

Simulating (electro)hydrodynamic effects in colloidal dispersions: Smoothed profile method

Autoren: Nakayama, Y Kim, K Yamamoto, R et al.

Weitere Verfasser: Nakayama, Y Kim, K Yamamoto, R et al.

Quelle: The European Physical Journal E. 26:361-368

Schlagwörter: complex fluids – 82.20.Wt Computational modeling, Models, Statistical, Physics, 47.11.-j Computational methods in fluid dynamics – 82.70.-y Disperse systems, Water, FOS: Physical sciences, Condensed Matter - Soft Condensed Matter, Models, Theoretical, simulation, 01 natural sciences, Electrolytes, 0103 physical sciences, Solvents, Thermodynamics, Soft Condensed Matter (cond-mat.soft), Computer Simulation, Colloids, Algorithms, Software

Zugangs-URL: http://arxiv.org/pdf/cond-mat/0601322
https://pubmed.ncbi.nlm.nih.gov/19230114
http://arxiv.org/abs/cond-mat/0601322

A computational facility for reacting flow science

Autoren: H. N. Najm J. Ray VALORANI, Mauro et al.

Quelle: Journal of Physics: Conference Series. 46:53-57

Schlagwörter: chemically reactive flows, combustion, computational methods in fluid dynamics, flames, General Physics and Astronomy, 0101 mathematics, 01 natural sciences

Zugangs-URL: https://ui.adsabs.harvard.edu/abs/2006JPhCS..46...53N/abstract
https://iopscience.iop.org/article/10.1088/1742-6596/46/1/007
https://core.ac.uk/display/38453247
https://www.openaccessrepository.it/record/165938
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000241186300007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a
https://hdl.handle.net/11573/232218
https://doi.org/10.1088/1742-6596/46/1/007

Adaptive chemical model reduction

Autoren: H. N. Najm J. C. Lee VALORANI, Mauro et al.

Quelle: Journal of Physics: Conference Series. 16:101-106

Schlagwörter: and explosions, chemically reactive flows, combustion, computational methods in fluid dynamics, computational modeling, flames, reactions in flames, simulation, 0103 physical sciences, 02 engineering and technology, 0204 chemical engineering, 01 natural sciences

Zugangs-URL: https://core.ac.uk/display/38452980
https://ui.adsabs.harvard.edu/abs/2005JPhCS..16..101N/abstract
https://iopscience.iop.org/article/10.1088/1742-6596/16/1/012
https://hdl.handle.net/11573/71586
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000233625000013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a
https://doi.org/10.1088/1742-6596/16/1/012

A monopolar vortex encounters a north–south ridge or trough

Autoren: van Geffen, JHGM Davies, PA

Quelle: Fluid Dynamics Research. 26:157-179

Schlagwörter: Motion, 0103 physical sciences, Vortex dynamics, Computational methods in fluid dynamics, 01 natural sciences, Beta-plane, Eddies, Eddy, 0105 earth and related environmental sciences

Zugangs-URL: http://ci.nii.ac.jp/naid/10010062930
http://www.sciencedirect.com/science/article/pii/S0169598399000222
https://discovery.dundee.ac.uk/en/publications/a-monopolar-vortex-encounters-a-north-south-ridge-or-trough
https://ui.adsabs.harvard.edu/abs/2000FlDyR..26..157V/abstract
https://www.sciencedirect.com/science/article/pii/S0169598399000222

Modelling free surface flows with smoothed particle hydrodynamics

Autoren: L.Di G.Sigalotti J.Daza A.Donoso

Quelle: Condensed Matter Physics, Vol 9, Iss 2, Pp 359-366 (2006)

Schlagwörter: gas-liquid and vacuum-liquid interfaces, surface tension and related phenomena, heat conduction, computational methods in fluid dynamics, Physics, QC1-999

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1607-324X

Zugangs-URL: https://doaj.org/article/05a9253af5b247ffa5bc0bea46e9aefc

Acceleration techniques for reduced-order models based on proper orthogonal decomposition

Weitere Verfasser: Breault, R

Quelle: Journal of Computational Physics; 227; 16

Dateibeschreibung: Medium: X; Size: 7791-7812

Zugangs-URL: http://www.osti.gov/scitech/biblio/1013100

Chaotic linear equation-system solvers for unsteady CFD

Autoren: Hawkes, James N. Turnock, Stephen R. Vaz, Guilherme et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Finite element method, Computational Methods, Computational Fluid Dynamics, Linear Solvers, Totally Asynchronous Methods, Chaotic Iterative Methods, PETSc, ReFRESCO, Marine engineering, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits, Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits [Àrees temàtiques de la UPC]

Dateibeschreibung: application/pdf; text

Zugangs-URL: https://hdl.handle.net/2117/332561
http://hdl.handle.net/2117/332561
https://eprints.soton.ac.uk/376523/

Coupled RapidCell and lattice Boltzmann models to simulate hydrodynamics of bacterial transport in response to chemoattractant gradients in confined domains

Autoren: Hoa Nguyen Basagaoglu Hakan McKay Cameron et al.

Quelle: Microfluidics and nanofluidics
20 (2016). doi:10.1007/s10404-015-1701-2
info:cnr-pdr/source/autori:Hoa Nguyen; Basagaoglu, Hakan; McKay, Cameron; Carpenter, Alexander J.; Succi, Sauro; Healy, Frank/titolo:Coupled RapidCell and lattice Boltzmann models to simulate hydrodynamics of bacterial transport in response to chemoattractant gradients in confined domains/doi:10.1007%2Fs10404-015-1701-2/rivista:Microfluidics and nanofluidics (Print)/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume:20

Schlagwörter: hydrostatics, 0301 basic medicine, 03 medical and health sciences, Chemotaxis, 0103 physical sciences, Hydrodynamics, Computational methods in fluid dynamics, 01 natural sciences

Zugangs-URL: https://link.springer.com/article/10.1007/s10404-015-1701-2
https://link.springer.com/content/pdf/10.1007%2Fs10404-015-1701-2.pdf
https://digitalcommons.trinity.edu/bio_faculty/65/