Application of artificial neural network for identification of parameters of a constitutive law for soils

Alessio Nardin, Bernhard Schrefler, Marek Lefik

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

12 Scopus citations

Abstract

A common problem of excavation machinery based on mechanical actions is the unknown interaction of the cutting tools with geological settings. This interaction determines for different soils a different wear and consequently different economical costs for the excavation. We apply a strategy for soil modelling which is based on discretization of the continuum with rigid disks and suitable contact models and concentrate at contact level the real mechanical behaviour of the soil. In order to carry out the proposed strategy a "macro" and a "micro" level are established. In this paper an application of Artificial Neural Network (ANN) for identification of the parameters of the contact constitutive law is shown. The ANN is first trained using the theoretical results obtained from the developed numerical model. Results of some numerical tests concerning the choice of the proper topology of ANN, the best training set and the sensitivity of the identified parameters are shown.

Original languageEnglish (US)
Title of host publicationDevelopments in Applied Artificial Intelligence
EditorsPaul W. H. Chung, Chris Hinde, Moonis Ali
PublisherSpringer-Verlag
Pages545-554
Number of pages10
ISBN (Print)3540404554, 9783540404552
DOIs
StatePublished - 2003
Event16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003 - Loughborough, United Kingdom
Duration: Jun 23 2003Jun 26 2003

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2718
ISSN (Print)0302-9743

Other

Other16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003
CountryUnited Kingdom
CityLoughborough
Period6/23/036/26/03

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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