Analysis of numerical errors in strongly coupled numerical models

Ismail Farajpour, Sez Atamturktur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This manuscript focuses on the degrading effects of discretization errors on the simulation results of strongly coupled models. Coupled simulation models, be they multi-scale or multi-physics in nature, in recent years, have gained significant attention for their ability to predict the behavior of complex physical systems by implementing mature, independently developed, constituent models. This investigation evaluates the numerical errors inherent in the predictions of the constituent models and their effects on the predictions of the coupled model. Not only are the discretization errors of each constituent model quantified as they propagate from one constituent to the other during coupling iterations, but their effects on the computational requirements of the coupling procedure are also considered. Furthermore, the sensitivity of the coupled model predictions to each constituent is determined allowing a thorough evaluation of the impact of discretization errors on coupled model predictions. These relationships are demonstrated through a case study of a strongly coupled dynamical system.

Original languageEnglish (US)
Title of host publicationAdvancement of Optical Methods in Experimental Mechanics - Conference Proceedings of the Society for Experimental Mechanics Series
PublisherSpringer New York LLC
Pages409-418
Number of pages10
ISBN (Print)9783319007670
DOIs
StatePublished - 2014
Event32nd IMAC Conference and Exposition on Structural Dynamics, 2014 - Orlando, FL, United States
Duration: Feb 3 2014Feb 6 2014

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
Volume3
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Other

Other32nd IMAC Conference and Exposition on Structural Dynamics, 2014
Country/TerritoryUnited States
CityOrlando, FL
Period2/3/142/6/14

All Science Journal Classification (ASJC) codes

  • General Engineering
  • Computational Mechanics
  • Mechanical Engineering

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