Evaluation of the Eigenvalue Method in the Solution of Transient Heat Conduction Problems.

Abstract

The eigenvalue method is evaluated to determine the advantages and disadvantages of the method as compared to fully explicit, fully implicit, and Crank-Nicolson methods. Time comparisons and accuracy comparisons are made in an effort to rank the eigenvalue method in relation to the comparison schemes. The purpose of this thesis is to verify by duplicating their efforts with the method. The eigenvalue method is used to solve the parabolic heat equation in multidimensions with transient temperatures. Extensions into three dimensions are made to determine the method's feasibility in handling large geometry problems requiring great numbers of internal mesh points. The eigenvalue method proves to be slightly better in accuracy than the comparison routines because of an exact treatment, as opposed to a numerical approximation, of the time derivative in the heat equation. It is an unconditionally stable method. It has the potential of being a very powerful routine in solving long transient type problems. The method is not well suited to finely meshed grid arrays or large regions because of the time and memory requirements necessary for calculating large sets of eigenvalues and eigenvectors. Keywords: Numerical Analysis, Numerical Methods, and Heat Transfer.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADA154434

Entities

People

  • D. W. Landry

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Electronic Warfare

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Air Force
  • Birds
  • Classification
  • Differential Equations
  • Eigenvalues
  • Eigenvectors
  • Engineering
  • Equations
  • Geometry
  • Heat Transfer
  • Numerical Analysis
  • Partial Differential Equations
  • Simultaneous Equations
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Linear Algebra