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 the 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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1990
Accession Number
ADA231153

Entities

People

  • Ahmed K. Noor

Organizations

  • George Washington University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Complex Systems
  • Composite Materials
  • Computational Fluid Dynamics
  • Computational Science
  • Differential Equations
  • Equations
  • Geometry
  • Heat Flux
  • Heat Transfer
  • Materials
  • Mathematical Models
  • Plastic Explosives
  • Steady State
  • Surface Temperature
  • Thermal Conductivity
  • Thickness
  • Three Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)