Parallel Computation of Three-Dimensional, Unsteady Wake Flows Using Vortex Methods.

Abstract

The objectives of the research were to develop computational techniques for parallel computers capable of simulating complex, three-dimensional, unsteady wake flows at high Reynolds numbers and to apply these techniques to such flows as those about maneuvering three-dimensional bodies. A Lagrangian vortex method was used as a basis for the numerical scheme. In vortex methods the only grid required is that to mesh the surface of the body. In addition, the computational elements containing vorticity move with the local fluid velocity and are required only in the boundary layers and wake of a bluff body flow. This technique is therefore a natural candidate for the simulation of wake flows in that the fluid containing vorticity for these flows occupies only a small fraction of the total fluid volume of interest. A robust vortex particle method for three-dimensional flows was developed, including a new treatment of viscous effects to allow for the accurate treatment of boundary layer mechanics including unsteady separation. In addition, to allow for ambitious, three-dimensional applications, fast algorithms were developed for both the vortex particle method and the panel method (used to satisfy the no-slip boundary condition on the body surface). These algorithms were implemented on the Intel Delta supercomputer at Caltech. This 576 mode machine has 528 Intel i860 numerical processors giving a total computing capability of over 30 Gflops peak performance with 8 Gbytes of memory.

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Document Details

Document Type
Technical Report
Publication Date
Feb 21, 1995
Accession Number
ADA299757

Entities

People

  • Anthony W. Leonard

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aeronautical Laboratories
  • Boundary Element Methods
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Engineering
  • Flow
  • Fluid Mechanics
  • Mechanics
  • N Body Problem
  • Parallel Computing
  • Parallel Processing
  • Potential Flow
  • Reynolds Number
  • Simulations
  • Three Dimensional

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics and Fluid Dynamics.
  • Parallel and Distributed Computing.