Parallel computation of pollutant dispersion in industrial sites

Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 74)

Abstract

Understanding the pathway of toxic air pollutants from their source is essential to government agencies that are responsible for the public health. CFD remains an expansive tool to evaluate the flow of toxic air contaminants and requires to deal with complex geometry, high Reynolds numbers and large temperature gradients. To perform such simulations, the compressible Naviers Stokes equations are solved with a collocated finite volume method on unstructured grid and the computation speed is improved as a result of parallelism.

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References

  1. 1.
    Satish Balay, Kris Buschelman, Victor Eijkhout, William D. Gropp, Dinesh Kaushik, Matthew G. Knepley, Lois Curfman McInnes, Barry F. Smith, and Hong Zhang. Petsc users manual. ANL-95/11, Argonne National Laboratory, 2004.Google Scholar
  2. 2.
    Butler and Jeffrey. Improving Coarsening and Interpolation for Algebraic Multigrid. PhD thesis, Department of Applied Mathematics, University of Waterloo, 2006.Google Scholar
  3. 3.
    P.G. Dyunkerke. Application of the E-epsilon turbulence closure model to the neutral and stable atmosphere boundary layer. Journal of the Atmospheric Sciences, 45:5, 865–880, 1988.Google Scholar
  4. 4.
    Van Emden Henson and Ulrike Meier Yang. Boomeramg: A parallel algebraic multigrid solver and preconditioner. Applied Numerical Mathematics, 41:155–177, 2000.Google Scholar
  5. 5.
    B. Kirk, J.W. Peterson, R.H. Stogner, and G.F. Carey. libmesh: A c++ library for parallel adaptive mesh refinement/coarsening simulations. Engineering with Computers, 22:3–4, 237–254, 2006.Google Scholar
  6. 6.
    B.E. Launder and D.B. Spalding. Lectures in Mathematical Models of Turbulence. Academic Press, London, England,, 1972.MATHGoogle Scholar
  7. 7.
    B.E. Launder and D.B. Spalding. The numerical computation of turbulent flows. Computer Methods in Applied Mechanics and Engineering, 3:2, 269–289, 1974.Google Scholar
  8. 8.
    K. Nerinckx, J. Vierendeels, and E. Dick. Mach-uniformity through the coupled pressure and temperature correction algorithm. Journal of Computational Physics., 206:597–623, 2005.MATHCrossRefGoogle Scholar
  9. 9.
    S.V. Patankar and D.B. Spalding. A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows. International Journal of Heat and Mass Transfer, 15:1787, 1972.MATHCrossRefGoogle Scholar
  10. 10.
    C.M. Rhie and W.L. Chow. A numerical study of the turbulent flow past an isolated airfoil with trailing edge separation. AIAA J, 21:1525–1532, 1983.MATHCrossRefGoogle Scholar
  11. 11.
    J. W. Ruge, K. Stüben, and S. F. McCormick. Algebraic multigrid (AMG), volume 3 of Frontiers in Applied Mathematics. SIAM, Philadelphia, 1987.Google Scholar
  12. 12.
    De Sterck, Hans, Yang, Ulrike M., Heys, and Jeffrey J. Reducing complexity in parallel algebraic multigrid preconditioners. SIAM J. Matrix Anal. Appl., 27(4):1019–1039, 2006.Google Scholar

Copyright information

© Springer Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Villeurbanne CedexFrance
  2. 2.Laboratoire de Mécanique des fluides et d’AcoustiqueUniversité de Lyon, CNRS, Ecole Centrale de Lyon, Université de Lyon 1Villeurbanne CedexFrance
  3. 3.ICJ CNRS UMR 5208, Center for the Developement of Scientific Parallel ComputingUniversity Claude Bernard Lyon 1Villeurbanne CedexFrance

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