A Hybrid Perturbation-Galerkin Technique for Partial Differential Equations

Abstract

A two-step hybrid perturbation-Galerkin technique for improving the usefulness of perturbation solutions to partial differential equations which contain a parameter is presented and discussed. In the first step of the method, the leading terms in the asymptotic expansion(s) of the solution about one or more values of the perturbation parameter are obtained using standard perturbation methods. In the second step, the perturbation functions obtained in the first step are used as trial functions in a Bubnov-Galerkin approximation. This semi-analytical, semi-numerical hybrid technique appears to overcome some of the draw-backs of the perturbation and Galerkin methods when they are applied by themselves, while combining some of the good features of each. The technique is illustrated first by a simple example. It is then applied to the problem of determining the flow of a slightly compressible fluid past a circular cylinder and to the problem of determining the shape of a free surface due to a sink above the surface. Solutions obtained by the hybrid method are compared with other approximate solutions, and its possible application to certain problems associated with domain decomposition is discussed. (Author) (kr)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1990
Accession Number
ADA227109

Entities

People

  • Carl M. Andersen
  • James F. Geer

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Boundary Layer
  • Boundary Value Problems
  • Complex Variables
  • Contracts
  • Differential Equations
  • Engineering
  • Equations
  • Flow
  • Galerkin Method
  • Mach Number
  • Mathematics
  • Partial Differential Equations
  • Poisson Equation
  • Shape
  • Standards
  • Surface Tension
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

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