Approximate Behavior Models for Optimum Structural Design

Abstract

Efficient reanalysis models, which provide high quality explicit approximations for the structural behavior, are introduced. The presented algorithms are based on a series expansion which is shown to be equivalent to a simple iteration procedure. Only the decomposed stiffness matrix, known from exact analysis of the initial design, is required to obtain the approximate expressions. Two approaches of accelerated convergence are proposed to improve the quality of the approximations: (a) An approach where a scalar multiplier, used for scaling of the initial design, is chosen prior to the solution as the accelerating parameter; (b) An approach where information gathered during calculations of the series coefficient is used to improve the convergence rate. Numerical examples illustrate the efficiency and the quality of the proposed approximations. A special attention is focused on reanalyses along a line, a problem typical to many optimal design procedures. The computational effort in this case is considerably reduced, since only a single independent variable is involved.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1981
Accession Number
ADP000063

Entities

People

  • B. Hofman
  • U. Kirsch

Organizations

  • Technion – Israel Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Applied Mechanics
  • Civil Engineering
  • Coefficients
  • Computations
  • Computers
  • Convergence
  • Displacement
  • Efficiency
  • Eigenvalues
  • Engineering
  • Equations
  • Errors
  • Iterations
  • Mathematical Programming
  • Stiffness

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Statistical inference.
  • Systems Analysis and Design