Journal Paper

Paper Information

video

sound

Persian Version

View:

176

Download:

0

Cites:

Information Journal Paper

Title

IMPLEMENTATION OF PARALLEL PROCESSING ON GPU FOR FLUID FLOW SIMULATION USING LATTICE BOLTZMANN METHOD AND SMOOTHED PROFILE METHOD

Pages

 Start Page 449 | End Page 458

Abstract

 of fluid-solid interaction has been studied as an introduction to simulate a wide range of engineering problems such as fluidized beds, sediment transportation and catalyst inks in fuel cells. An efficient method for performing such simulations is a combination of LATTICE BOLTZMANN METHOD (LBM) and SMOOTHED PROFILE METHOD (SPM). In addition, the operations in the SPM are local; it can be easily programmed for PARALLEL PROCESSING. In this approach, the flow is computed on fixed Eulerian grids which are also used for the particles. Owing to the use of the same grids for simulation of fluid flow and particles, this method is highly efficient for the purpose of PARALLEL PROCESSING by means of GPU. In this study, a combination of LATTICE BOLTZMANN METHOD (LBM) and SMOOTHED PROFILE METHOD has been implemented in PARALLEL PROCESSING on GPU. For validationpurpose, the fluid flow within a channel was investigated. Results suggest that computational time can be reduced up to 80 times by means of GPU. Then, drag force exerted on a sphere in fluid flow and the sedimentation of one sphere in a quiescent fluid were studied. Results show that performance of GPU can be increased up to 6.5 million fluid nods per second by using this method.

Cites

  • No record.
  • References

  • No record.
  • Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    File Not Exists.