Literatura académica sobre el tema "Multiscale flow"
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Artículos de revistas sobre el tema "Multiscale flow"
Sindeev, S. V., S. V. Frolov, D. Liepsch y A. Balasso. "MODELING OF FLOW ALTERATIONS INDUCED BY FLOW-DIVERTER USING MULTISCALE MODEL OF HEMODYNAMICS". Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 23, n.º 1 (2017): 025–32. http://dx.doi.org/10.17277/vestnik.2017.01.pp.025-032.
Texto completoKoumoutsakos, Petros. "MULTISCALE FLOW SIMULATIONS USING PARTICLES". Annual Review of Fluid Mechanics 37, n.º 1 (enero de 2005): 457–87. http://dx.doi.org/10.1146/annurev.fluid.37.061903.175753.
Texto completoSHENG, MAO, GENSHENG LI, SHOUCENG TIAN, ZHONGWEI HUANG y LIQIANG CHEN. "A FRACTAL PERMEABILITY MODEL FOR SHALE MATRIX WITH MULTI-SCALE POROUS STRUCTURE". Fractals 24, n.º 01 (marzo de 2016): 1650002. http://dx.doi.org/10.1142/s0218348x1650002x.
Texto completoZhou, Hui y Hamdi A. Tchelepi. "Operator-Based Multiscale Method for Compressible Flow". SPE Journal 13, n.º 02 (1 de junio de 2008): 267–73. http://dx.doi.org/10.2118/106254-pa.
Texto completoLiu, Zhongqiu. "Numerical Modeling of Metallurgical Processes: Continuous Casting and Electroslag Remelting". Metals 12, n.º 5 (27 de abril de 2022): 746. http://dx.doi.org/10.3390/met12050746.
Texto completoZhou, H., S. H. H. Lee y H. A. A. Tchelepi. "Multiscale Finite-Volume Formulation for the Saturation Equations". SPE Journal 17, n.º 01 (12 de diciembre de 2011): 198–211. http://dx.doi.org/10.2118/119183-pa.
Texto completoCui, Zhanyou, Gaoli Chen, Bing Liu y Deguang Li. "A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow". Journal of Advanced Transportation 2022 (30 de marzo de 2022): 1–10. http://dx.doi.org/10.1155/2022/8389229.
Texto completoBazilevs, Yuri, Kenji Takizawa y Tayfun E. Tezduyar. "Computational analysis methods for complex unsteady flow problems". Mathematical Models and Methods in Applied Sciences 29, n.º 05 (mayo de 2019): 825–38. http://dx.doi.org/10.1142/s0218202519020020.
Texto completoMäkipere, Krista y Piroz Zamankhan. "Simulation of Fiber Suspensions—A Multiscale Approach". Journal of Fluids Engineering 129, n.º 4 (18 de agosto de 2006): 446–56. http://dx.doi.org/10.1115/1.2567952.
Texto completoLorenz, Eric y Alfons G. Hoekstra. "Heterogeneous Multiscale Simulations of Suspension Flow". Multiscale Modeling & Simulation 9, n.º 4 (octubre de 2011): 1301–26. http://dx.doi.org/10.1137/100818522.
Texto completoTesis sobre el tema "Multiscale flow"
Rycroft, Christopher Harley. "Multiscale modeling in granular flow". Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41557.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 245-254).
Granular materials are common in everyday experience, but have long-resisted a complete theoretical description. Here, we consider the regime of slow, dense granular flow, for which there is no general model, representing a considerable hurdle to industry, where grains and powders must frequently be manipulated. Much of the complexity of modeling granular materials stems from the discreteness of the constituent particles, and a key theme of this work has been the connection of the microscopic particle motion to a bulk continuum description. This led to development of the "spot model", which provides a microscopic mechanism for particle rearrangement in dense granular flow, by breaking down the motion into correlated group displacements on a mesoscopic length scale. The spot model can be used as the basis of a multiscale simulation technique which can accurately reproduce the flow in a large-scale discrete element simulation of granular drainage, at a fraction of the computational cost. In addition, the simulation can also successfully track microscopic packing signatures, making it one of the first models of a flowing random packing. To extend to situations other than drainage ultimately requires a treatment of material properties, such as stress and strain-rate, but these quantities are difficult to define in a granular packing, due to strong heterogeneities at the level of a single particle. However, they can be successfully interpreted at the mesoscopic spot scale, and this information can be used to directly test some commonly-used hypotheses in modeling granular materials, providing insight into formulating a general theory.
by Christopher Harley Rycroft.
Ph.D.
Kumar, Mayank Ph D. Massachusetts Institute of Technology. "Multiscale CFD simulations of entrained flow gasification". Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/69495.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references.
The design of entrained flow gasifiers and their operation has largely been an experience based enterprise. Most, if not all, industrial scale gasifiers were designed before it was practical to apply CFD models. Moreover, gasification CFD models developed over the years may have lacked accuracy or have not been tested over a wide range of operating conditions, gasifier geometries and feedstock compositions. One reason behind this shortcoming is the failure to incorporate detailed physics and chemistry of the coupled non-linear phenomena occurring during solid fuel gasification. In order to accurately predict some of the overall metrics of gasifier performance, like fuel conversion and syngas composition, we need to first gain confidence in the sub-models of the various physical and chemical processes in the gasifier. Moreover, in a multiphysics problem like gasification modeling, one needs to balance the effort expended in any one submodel with its effect on the accuracy of predicting some key output parameters. Focusing on these considerations, a multiscale CFD gasification model is constructed in this work with special emphasis on the development and validation of key submodels including turbulence, particle turbulent dispersion and char consumption models. The integrated model is validated with experimental data from various pilot-scale and laboratory-scale gasifier designs, further building confidence in the predictive capability of the model. Finally, the validated model is applied to ascertain the impact of changing the values of key operating parameters on the performance of the MHI and GE gasifiers. The model is demonstrated to provide useful quantitative estimates of the expected gain or loss in overall carbon conversion when critical operating parameters such as feedstock grinding size, gasifier mass throughput and pressure are varied.
by Mayank Kumar.
Ph.D.
Basu, Debashis. "Hybrid Methodologies for Multiscale Separated Turbulent Flow Simulations". University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1147362291.
Texto completoHauge, Vera Louise. "Multiscale Methods and Flow-based Gridding for Flow and Transport In Porous Media". Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for matematiske fag, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-12132.
Texto completoLamponi, Daniele. "One dimensional and multiscale models for blood flow circulation /". [S.l.] : [s.n.], 2004. http://library.epfl.ch/theses/?nr=3006.
Texto completoMoragues, Ginard Margarida. "Variational multiscale stabilization and local preconditioning for compressible flow". Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/384841.
Texto completoAquesta tesi tracta sobre l'estabilització de la solució numèrica de les equacions d'Euler i Navier-Stokes de flux compressible. Quan es simulen numèricament les equacions que governen els fluids, si no s'afegeix cap estabilització, la solució presenta oscil·lacions no físiques sinó numèriques. Per aquest motiu l'estabilització de les equacions en derivades parcials i de les equacions de la mecànica de fluids és de gran importància. Dins del marc de l'anomenada estabilització de multiescales variacionals, presentem aquí un mètode d'estabilització per flux compressible. L'evaluació del mètode es realitza primer en varis exemples acadèmics per diferents nombres de Mach, per flux viscós, inviscid, estacionari i transitori. Després el mètode s'aplica a simulacions de flux atmosfèric. Per això, resolem les equacions d'Euler per flux atmosfèric sec i humit. En presència d'humitat, també s'ha de resoldre un grup d'equacions de transport d'espècies d'aigua. Aquest domini d'aplicació representa un desafiament des del punt de vista de l'estabilització, donat que s'ha d'afegir la quantitat adequada d'estabilització per tal de preservar les propietats físiques del flux atmosfèric. Arribat aquest punt, per tal de millorar el nostre mètode, ens interessem pels precondicionadors locals. Els precondicionadors locals permeten reduir els problemes de rigidesa que presenten les equacions dels fluids i que són causa d'una pitjor i més lenta convergència cap a la solució. Amb aquest propòsit en ment, combinem el nostre mètode d'estabilització amb els precondicionadors locals i presentem un mètode d'estabilització per les equacions de Navier-Stokes de flux compressible, anomenem aquest màtode P-VMS. Aquest mètode es evaluat per mitjà de varis exemples per diferents nombres de Mach i demostra una millora sustancial no només pel que fa la convergència cap a la solució, sinó també en la precisió i robusteza del mètode. Finalment els beneficis del P-VMS es demostren teòricament a través de l'anàlisi d'estabilitat de Fourier. Com a resultat d'aquest anàlisi, sorgeix una modificació en el càlcul del pas de temps que millora un cop més la convergència del mètode
Hellman, Fredrik. "Multiscale and multilevel methods for porous media flow problems". Licentiate thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-262276.
Texto completoDub, Francois-Xavier. "A locally conservative variational multiscale method for the simulation of porous media flow with multiscale source terms". Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44874.
Texto completoIncludes bibliographical references (p. 75-78).
Multiscale phenomena are ubiquitous to flow and transport in porous media. They manifest themselves through at least the following three facets: (1) effective parameters in the governing equations are scale dependent; (2) some features of the flow (especially sharp fronts and boundary layers) cannot be resolved on practical computational grids; and (3) dominant physical processes may be different at different scales. Numerical methods should therefore reflect the multiscale character of the solution. We concentrate on the development of simulation techniques that account for the heterogeneity present in realistic reservoirs, and have the ability to solve for coupled pressure-saturation problems (on coarse grids). We present a variational multiscale mixed finite element method for the solution of Darcy flow in porous media, in which both the permeability field and the source term display a multiscale character. The formulation is based on a multiscale split of the solution into coarse and subgrid scales. This decomposition is invoked in a variational setting that leads to a rigorous definition of a (global) coarse problem and a set of (local) subgrid problems. One of the key issues for the success of the method is the proper definition of the boundary conditions for the localization of the subgrid problems. We identify a weak compatibility condition that allows for subgrid communication across element interfaces, something that turns out to be essential for obtaining high-quality solutions. We also remove the singularities due to concentrated sources from the coarse-scale problem by introducing additional multiscale basis functions, based on a decomposition of fine-scale source terms into coarse and deviatoric components.
(cont.) The method is locally conservative and employs a low-order approximation of pressure and velocity at both scales. We illustrate the performance of the method on several synthetic cases, and conclude that the method is able to capture the global and local flow patterns accurately.
by Francois-Xavier Dub.
S.M.
Gravemeier, Volker. "The variational multiscale method for laminar and turbulent incompressible flow". [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11051842.
Texto completoXu, Mingtian y 許明田. "Multiscale transport of mass, momentum and energy". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B3124497X.
Texto completoLibros sobre el tema "Multiscale flow"
Abdol-Hamid, Khaled Sayed. Multiscale turbulence effects in supersonic jets exhausting into still air. Hampton, Va: Langley Research Center, 1987.
Buscar texto completoLi, Jun. Multiscale and Multiphysics Flow Simulations of Using the Boltzmann Equation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26466-6.
Texto completoPanasenko, Grigory y Konstantin Pileckas. Multiscale Analysis of Viscous Flows in Thin Tube Structures. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54630-3.
Texto completoZhao, T. S. y Ao Xu. Multiscale Modelling and Simulation of Flow Batteries. Elsevier Science & Technology Books, 2022.
Buscar texto completoZhao, T. S. y Ao Xu. Multiscale Modelling and Simulation of Flow Batteries. Elsevier Science & Technology, 2023.
Buscar texto completoMultiscale Thermal Transport in Energy Systems. Nova Science Publishers, Incorporated, 2016.
Buscar texto completoLi, Jun. Multiscale and Multiphysics Flow Simulations of Using the Boltzmann Equation: Applications to Porous Media and MEMS. Springer, 2019.
Buscar texto completoLi, Jun. Multiscale and Multiphysics Flow Simulations of Using the Boltzmann Equation: Applications to Porous Media and MEMS. Springer International Publishing AG, 2020.
Buscar texto completoVerma, Mahendra K. Energy Transfers in Fluid Flows: Multiscale and Spectral Perspectives. Cambridge University Press, 2019.
Buscar texto completoPileckas, Konstantinas. Multiscale Analysis of Viscous Flows in Thin Tube Structures. Springer Basel AG, 2024.
Buscar texto completoCapítulos de libros sobre el tema "Multiscale flow"
Florack, Luc. "Multiscale Optic Flow". En Computational Imaging and Vision, 175–203. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8845-4_6.
Texto completoLi, Jun. "Multiscale LBM Simulations". En Multiscale and Multiphysics Flow Simulations of Using the Boltzmann Equation, 119–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26466-6_4.
Texto completoKassinos, S. C., J. H. Walther, E. Kotsalis y P. Koumoutsakos. "Flow of Aqueous Solutions in Carbon Nanotubes". En Multiscale Modelling and Simulation, 215–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18756-8_16.
Texto completoVassilicos, John Christos. "Fractal/Multiscale Wake Generators". En Fractal Flow Design: How to Design Bespoke Turbulence and Why, 157–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33310-6_5.
Texto completoKayumov, Rashit A. y Farid R. Shakirzyanov. "Large Deflections and Stability of Low-Angle Arches and Panels During Creep Flow". En Multiscale Solid Mechanics, 237–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54928-2_18.
Texto completoVincent, Stéphane, Jean-Luc Estivalézes y Ruben Scardovelli. "Multiscale Euler–Lagrange Coupling". En Small Scale Modeling and Simulation of Incompressible Turbulent Multi-Phase Flow, 263–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09265-7_9.
Texto completoBagchi, Prosenjit. "Large-Scale Simulation of Blood Flow in Microvessels". En Multiscale Modeling of Particle Interactions, 321–39. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470579831.ch11.
Texto completoSeoud, R. E. E. y J. C. Vassilicos. "Passive Multiscale Flow Control by Fractal Grids". En IUTAM Symposium on Flow Control and MEMS, 421–25. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6858-4_53.
Texto completoBuehler, Markus J., Farid F. Abraham y Huajian Gao. "Stress and energy flow field near a rapidly propagating mode I crack". En Multiscale Modelling and Simulation, 143–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18756-8_10.
Texto completoEwing, R. E., M. Espedal y M. Celia. "Solution Methods for Multiscale Porous Media Flow". En Computational Methods in Water Resources X, 449–56. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-010-9204-3_55.
Texto completoActas de conferencias sobre el tema "Multiscale flow"
Ramakrishnan, Srinivas y Samuel Collis. "Variational Multiscale Modeling for Turbulence Control". En 1st Flow Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3280.
Texto completoPeña-Monferrer, C., J. L. Muñoz-Cobo, G. Monrós-Andreu y S. Chiva. "Development of a multiscale solver with sphere partitioning tracking". En MULTIPHASE FLOW 2015. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/mpf150221.
Texto completoMatsumoto, Yoichiro y Kohei Okita. "Multiscale Analysis on Cavitating Flow". En 6th AIAA Theoretical Fluid Mechanics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-4044.
Texto completoGrinberg, Leopold, Mingge Deng, Huan Lei, Joseph A. Insley y George Em Karniadakis. "Multiscale simulations of blood-flow". En the 1st Conference of the Extreme Science and Engineering Discovery Environment. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2335755.2335829.
Texto completoTelea, Alexandru y Robert Strzodka. "Multiscale image based flow visualization". En Electronic Imaging 2006, editado por Robert F. Erbacher, Jonathan C. Roberts, Matti T. Gröhn y Katy Börner. SPIE, 2006. http://dx.doi.org/10.1117/12.640425.
Texto completoChalla, Sivakumar R., Richard Truesdell, Peter Vorobieff, Andrea Mammoli, Frank van Swol, Glaucio H. Paulino, Marek-Jerzy Pindera et al. "Shear Flow on Super-Hydrophobic Surfaces". En MULTISCALE AND FUNCTIONALLY GRADED MATERIALS 2006. AIP, 2008. http://dx.doi.org/10.1063/1.2896904.
Texto completoLie, K. A., S. Krogstad y B. Skaflestad. "Mixed Multiscale Methods for Compressible Flow". En ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20143240.
Texto completoDing, Wei, Jinming Zhang, Hamed Setoodeh, Dirk Lucas y Uwe Hampel. "Multiscale Approach for Boiling Flow Simulation". En 20th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-20). Illinois: American Nuclear Society, 2023. http://dx.doi.org/10.13182/nureth20-40132.
Texto completoTao, Wen-Quan y Ya-Ling He. "Multiscale Simulations of Heat Transfer and Fluid Flow Problems". En 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-23408.
Texto completoLaizet, Sylvain y John Christos Vassilicos. "PASSIVE SCALAR STIRRING BY MULTISCALE-GENERATED TURBULENCE". En Seventh International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2011. http://dx.doi.org/10.1615/tsfp7.1120.
Texto completoInformes sobre el tema "Multiscale flow"
Patnaik, Soumya S., Eugeniya Iskrenova-Ekiert y Hui Wan. Multiscale Modeling of Multiphase Fluid Flow. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2016. http://dx.doi.org/10.21236/ad1016834.
Texto completoRichard W. Johnson. Dynamic Multiscale Averaging (DMA) of Turbulent Flow. Office of Scientific and Technical Information (OSTI), septiembre de 2012. http://dx.doi.org/10.2172/1057682.
Texto completoHou, Thomas, Yalchin Efendiev, Hamdi Tchelepi y Louis Durlofsky. Multiscale Simulation Framework for Coupled Fluid Flow and Mechanical Deformation. Office of Scientific and Technical Information (OSTI), mayo de 2016. http://dx.doi.org/10.2172/1254120.
Texto completoTchelepi, Hamdi. Multiscale Simulation Framework for Coupled Fluid Flow and Mechanical Deformation. Office of Scientific and Technical Information (OSTI), noviembre de 2014. http://dx.doi.org/10.2172/1164145.
Texto completoHolm, D. D., A. Aceves, J. S. Allen, M. Alber, R. Camassa, H. Cendra, S. Chen et al. Self-Consistent Multiscale Theory of Internal Wave, Mean-Flow Interactions. Office of Scientific and Technical Information (OSTI), junio de 1999. http://dx.doi.org/10.2172/763237.
Texto completoLuettgen, Mark R., W. C. Karl y Alan S. Willsky. Efficient Multiscale Regularization with Applications to the Computation of Optical Flow. Fort Belvoir, VA: Defense Technical Information Center, abril de 1993. http://dx.doi.org/10.21236/ada459986.
Texto completoMiller, Cass T. y William G. Gray. SISGR: Multiscale Modeling of Multiphase Flow, Transport, and Reactions in Porous Medium Systems. Office of Scientific and Technical Information (OSTI), febrero de 2017. http://dx.doi.org/10.2172/1345027.
Texto completoAnh Bui, Nam Dinh y Brian Williams. Validation and Calibration of Nuclear Thermal Hydraulics Multiscale Multiphysics Models - Subcooled Flow Boiling Study. Office of Scientific and Technical Information (OSTI), septiembre de 2013. http://dx.doi.org/10.2172/1110336.
Texto completoYortsos, Y. C. Investigation of Multiscale and Multiphase Flow, Transport and Reaction in Heavy Oil Recovery Processes. Office of Scientific and Technical Information (OSTI), mayo de 2001. http://dx.doi.org/10.2172/781148.
Texto completoYortsos, Yanis C. Investigation of Multiscale and Multiphase Flow, Transport and Reaction in Heavy Oil Recovery Processes. Office of Scientific and Technical Information (OSTI), agosto de 2001. http://dx.doi.org/10.2172/784112.
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