Joint finite element: Artificial Neural Network numerical analysis of multilevel composites

D. P. Boso, M. Lefik, B. A. Schrefler

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

Abstract

In this paper Artificial Neural Network with hidden layers is applied to define a constitutive relation sigma-epsilon in an incremental form. Then ANN is used to describe dependence of effective material parameters of a composite on physical and geometrical characteristics of micro components at the micro-structural level. Using classical tools of homogenisation it is impossible to define such dependences in symbolic manner. These applications are illustrated with an example of superconducting strand for nuclear fusion device.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005
PublisherCivil-Comp Press
Volume82
ISBN (Print)1905088051, 9781905088058
StatePublished - Jan 1 2005
Event8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005 - Rome, Italy
Duration: Aug 30 2005Sep 2 2005

Other

Other8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005
CountryItaly
CityRome
Period8/30/059/2/05

Keywords

  • Artificial neural networks
  • Effective properties
  • Hierarchical composites

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Civil and Structural Engineering
  • Artificial Intelligence
  • Environmental Engineering

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