Three-Dimensional Solution-Adaptive Grid Generation on Composite Configurations

Abstract

A solution-adaptive grid generation procedure is developed and applied to three-dimensional inviscid transonic fluid flow around complex geometries using a composite block grid structure. The adaption is based upon control functions in an elliptic grid generation system. The control function is constructed in a manner such that a proper grid network can be generated as a fluid flow solution is evolving. The grid network is boundary-conforming for accurate representation of boundary conditions. The procedure implemented allows orthogonality at boundaries for more accurate computations, while smoothness is implicit in the elliptic equations. The approach allows multiple-block grid systems to be constructed to treat complex configurations as well. The solution-adaptive computational procedure has been accomplished by coupling the elliptic grid generation technique with an implicit, finite volume, upwind Euler flow solver. In simulating transonic fluid flow around a finned body of revolution and a multiple store configuration, the grid systems adapt to pressure gradients in the flow field. Results obtained show that the technique is capable of generating grid networks proper for the simulations of aerodynamics around complex configurations. Keywords: Computational fluid dynamics, Euler equations.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1990
Accession Number
ADA220915

Entities

People

  • Yen Tu

Tags

DTIC Thesaurus Topics

  • Aerodynamics
  • Air Force
  • Cartesian Coordinates
  • Computational Fluid Dynamics
  • Computational Science
  • Equations
  • Euler Equations
  • Flow
  • Flow Fields
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Geometry
  • Pressure Distribution
  • Pressure Gradients
  • Simulations
  • Three Dimensional

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)