Intelligent support of engineering analysis using ontology and case-based reasoning

verfasst von
Peter Wriggers, Marina Siplivaya, Irina Joukova, Roman Slivin
Abstract

Accuracy and reliability of the FEM analysis results depend heavily on the quality of the decisions made during the analysis process. As there are no industry-level systems for support of non-algorithmic tasks of FEM-based engineering analysis, such tasks are carried out by engineers on the basis of expert knowledge and experience. However, to exploit contemporary potentialities of FEM to solve a complex engineering problem requires high level of expertise; this restricts application of achievements of FE analysis in industry. In this paper, the concept of intelligent support of engineering analysis using knowledge-based system is presented, which is a promising way to increase quality of complex analysis.

Organisationseinheit(en)
Institut für Kontinuumsmechanik
Externe Organisation(en)
Volgograd State Technical University
Typ
Artikel
Journal
Engineering Applications of Artificial Intelligence
Band
20
Seiten
709-720
Anzahl der Seiten
12
ISSN
0952-1976
Publikationsdatum
01.08.2007
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Steuerungs- und Systemtechnik, Artificial intelligence, Elektrotechnik und Elektronik
Elektronische Version(en)
https://doi.org/10.1016/j.engappai.2006.12.002 (Zugang: Unbekannt)
 

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