Uncertainty-Based Self Configuring Simulation for Design Support

Abstract

The authors introduce the idea of using a criterion based on uncertainty propagation for appropriate detail for a model given a simulation task. A guideline to achieve this goal is proposed. A process to synthesize the differences in accuracy between the levels of the model of a component is developed so that the proposed guideline can be implemented in a solver. This approach comprises a preliminary simulation of the components, performed once for all, to determine the differences between model levels in a stochastic sense using the Collocation approach. The results of the preliminary analysis are then synthesized in a sensitivity function that we use in a rule-based selection of the levels for all the models in a simulation scheme. The efficacy of this method is demonstrated using case studies.

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Document Details

Document Type
Technical Report
Publication Date
Sep 09, 2011
Accession Number
ADA559658

Entities

People

  • Ferdinanda Ponci
  • Roger A. Dougal

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Automatic
  • Case Studies
  • Circuit Breakers
  • Classification
  • Department Of Defense
  • Electrical Engineering
  • Engineering
  • Military Research
  • Minority Groups
  • Models
  • Motors
  • Sensitivity
  • Simulations
  • South Carolina
  • Students
  • Uncertainty

Readers

  • Computational Fluid Dynamics (CFD)
  • Systems Analysis and Design