Effective Computational Strategy for Predicting the Response of Complex Systems

Abstract

An effective computational strategy is developed for generating the response of complex systems using (small or large) perturbations from the response of a simple structure (or a simpler mathematical/discrete model of the original structure). Two general approaches are developed for selecting the simpler model and establishing the relations between the original and simpler models. The two approaches are: decomposition or partitioning strategy, and hierarchical modeling strategy. Two effective partitioning strategies are used. The first is based on uncoupling of load-carrying mechanisms, and the second is based on symmetry transformations. The hierarchical modeling used is a predictor-corrector iterational process based on using a simple mathematical model in the predictor phase and correcting the response using a more accurate mathematical model. The strategies have been applied to several problems including: thermal buckling and postbuckling of multilayered composite plates; and nonlinear dynamic analysis of composite shells. Structure, Modeling, Buckling.

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Document Details

Document Type
Technical Report
Publication Date
Dec 08, 1993
Accession Number
ADA277452

Entities

People

  • Ahmed K. Noor

Organizations

  • University of Virginia

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Applied Mechanics
  • Complex Systems
  • Composite Materials
  • Computational Science
  • Critical Temperature
  • Engineering
  • Equations
  • Geometry
  • High Temperature
  • Mathematical Models
  • Mechanics
  • Standards
  • Steady State
  • Temperature Gradients
  • Three Dimensional
  • Vibration

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Structural Dynamics.