Parallel Computations of Natural Convection Flow in a Tall Cavity Using an Explicit Finite Element Method

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The Galerkin Finite Element Method was used to predict a natural convection flow in an enclosed cavity. The problem considered was a differentially heated, tall (8:1), rectangular cavity with a Rayleigh number of 3.4 x 10{sup 5} and Prandtl number of 0.71. The incompressible Navier-Stokes equations were solved using a Boussinesq approximation for the buoyancy force. The algorithm was developed for efficient use on massively parallel computer systems. Emphasis was on time-accurate simulations. It was found that the average temperature and velocity values can be captured with a relatively coarse grid, while the oscillation amplitude and period appear to be … continued below

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Dunn, Timothy A. & McCallen, Rose C. October 17, 2000.

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The Galerkin Finite Element Method was used to predict a natural convection flow in an enclosed cavity. The problem considered was a differentially heated, tall (8:1), rectangular cavity with a Rayleigh number of 3.4 x 10{sup 5} and Prandtl number of 0.71. The incompressible Navier-Stokes equations were solved using a Boussinesq approximation for the buoyancy force. The algorithm was developed for efficient use on massively parallel computer systems. Emphasis was on time-accurate simulations. It was found that the average temperature and velocity values can be captured with a relatively coarse grid, while the oscillation amplitude and period appear to be grid sensitive and require a refined computation.

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197 Kilobytes pages

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  • 1st MIT Conference on Computational Fluid and Solid Mechanics, Cambridge, MA (US), 06/12/2001--06/14/2001

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  • Report No.: UCRL-JC-141027
  • Grant Number: W-7405-Eng-48
  • Office of Scientific & Technical Information Report Number: 791136
  • Archival Resource Key: ark:/67531/metadc733870

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  • October 17, 2000

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  • Oct. 19, 2015, 7:39 p.m.

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Dunn, Timothy A. & McCallen, Rose C. Parallel Computations of Natural Convection Flow in a Tall Cavity Using an Explicit Finite Element Method, article, October 17, 2000; California. (https://digital.library.unt.edu/ark:/67531/metadc733870/: accessed April 18, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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