Studies in the Computation of Compressible and Viscous Flow

Abstract

The theme has been adaptive solution refinement. A novel approach called Truncation Error Injection (TEI) was introduced during the course of research. The idea behind TEI is very simple, i.e., the exact nodal value of the solution to a differential equation could be obtained on any grid and from solving a difference equation that models the differential equation if the truncation error were known. Although the TE is not known in general, it can be approximated on a local grid patch. This approach of approximating the local error due to discretization in effect decouples a problem of multiple disparate length scales into problems of single length scale so that they can be solved more efficiently on a computer than the original problem. Three types of applications have been demonstrated. In addition to solution refinement by TEI, we have shown that the decoupling of the unsteady computation from the steady one by TEI could significantly reduce the computing time and storage for flutter prediction, and that viscous effects can be computed separately and injected into the solution of an inviscid solver for viscous flow computation. Some of the advantages of this approach are: it requires very little modification to the base solver; no compatibility problems in using different grids and different solvers; readily suited for multi processors.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 13, 1988
Accession Number
ADA203334

Entities

People

  • K.-y. Fung

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Waves
  • Air Force
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Difference Equations
  • Differential Equations
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Geometry
  • Hydrodynamics
  • Navier Stokes Equations
  • Pattern Recognition
  • Steady Flow
  • Turbulent Mixing
  • Viscous Flow

Readers

  • Artificial Intelligence
  • Calculus or Mathematical Analysis
  • Fluid Dynamics.