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Relevant bibliographies by topics / LES numerical simulations

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Journal articles

Academic literature on the topic 'LES numerical simulations'

Author: Grafiati

Published: 4 May 2024

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Journal articles on the topic "LES numerical simulations"

1

Kitiashvili, I. N., A. G. Kosovichev, A. A. Wray, and N. N. Mansour. "Numerical simulations of magnetic structures." Proceedings of the International Astronomical Union 6, S273 (2010): 315–19. http://dx.doi.org/10.1017/s1743921311015444.

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AbstractWe use 3D radiative MHD simulations of the upper turbulent convection layer for investigation of physical mechanisms of formation of magnetic structures on the Sun. The simulations include all essential physical processes, and are based of the LES (Large-Eddy Simulations) approach for describing the sub-grid scale turbulence. The simulation domain covers the top layer of the convection zone and the lower atmosphere. The results reveal a process of spontaneous formation of stable magnetic structures from an initially weak vertical magnetic field, uniformly distributed in the simulation domain. The process starts concentration of magnetic patches at the boundaries of granular cells, which are subsequently merged together into a stable large-scale structure by converging downdrafts below the surface. The resulting structure represents a compact concentration of strong magnetic field, reaching 6 kG in the interior. It has a cluster-like internal structurization, and is maintained by strong downdrafts extending into the deep layers.

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2

Zaussinger, F., and H. C. Spruit. "Semiconvection: numerical simulations." Astronomy & Astrophysics 554 (June 2013): A119. http://dx.doi.org/10.1051/0004-6361/201220573.

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3

CORCAU, Jenica-Ileana, and Liviu DINCA. "MATHEMATICAL MODEL AND NUMERICAL SIMULATIONS FOR PHOTOVOLTAIC PANELS." Review of the Air Force Academy 15, no. 3 (2017): 47–56. http://dx.doi.org/10.19062/1842-9238.2017.15.3.5.

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4

Kik, Tomasz, Marek Slovacek, Jaromir Moravec, and Mojmir Vanek. "Numerical Simulations of Heat Treatment Processes." Applied Mechanics and Materials 809-810 (November 2015): 799–804. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.799.

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Welding and heat treatment are a modern, high efficient production technologies. During last few years requirements for quality of the welded joints have been constantly increasing in all production areas. Unfortunately, this approach increases the cost of production due to demand of intense experimental or prototype work prior the use of technology to make a final product. Preliminary experiments have to take into account proper chose of welding technology, materials, welding parameters, clamping and final optimization the welding conditions. All of these activities can be supported or even replaced by numerical simulations based on finite elements method. Tremendous advance in field of numerical simulation, facilitates very high correlation of simulation and experimental results bringing this new approach to common use. This paper highlight to usefulness of numerical simulation in heat treatment of bulk materials in various production stages. It was shown that it is possible to predict formation of metallurgical phases, hardness distribution, strains and stresses during and after quenching process. Simulations of different heating conditions and cooling media makes it possible to simulate processes such as heating, quenching, carburizing and nitriding.

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5

Demeio, Lucio, and James Paul Holloway. "Numerical simulations of BGK modes." Journal of Plasma Physics 46, no. 1 (1991): 63–84. http://dx.doi.org/10.1017/s0022377800015956.

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Solutions of the full nonlinear Vlasov–Poisson system for a one-dimensional unmagnetized plasma that correspond to undamped travelling waves near Maxwellian equilibria are analysed numerically using the splitting scheme algorithm. The numerical results are clearly in favour of the existence of such waves and confirm that there is a critical phase velocity below which they cannot be constructed.

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6

Komissarov, Serguei, and Oliver Porth. "Numerical simulations of jets." New Astronomy Reviews 92 (June 2021): 101610. http://dx.doi.org/10.1016/j.newar.2021.101610.

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7

Ramunigari, Naveen KumarG, and Debarshi Roy. "Numerical simulations of thrombosis." Chronicles of Young Scientists 4, no. 2 (2013): 130. http://dx.doi.org/10.4103/2229-5186.115552.

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8

Yasui, Kyuichi. "Numerical simulations for sonochemistry." Ultrasonics Sonochemistry 78 (October 2021): 105728. http://dx.doi.org/10.1016/j.ultsonch.2021.105728.

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9

Guillaume, F. "Numerical simulations and spectroscopy." École thématique de la Société Française de la Neutronique 12 (2011): 3–14. http://dx.doi.org/10.1051/sfn/201112002.

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10

Petit, S. "Numerical simulations and magnetism." École thématique de la Société Française de la Neutronique 12 (2011): 105–21. http://dx.doi.org/10.1051/sfn/201112006.

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