Integration of a case-based reasoning and an ontological knowledge base in the system of intelligent support of finite element analysis

authored by: Peter Wriggers, Marina Siplivaya, Irina Zhukova, Alexander Kapysh, Anton Kultsov
Abstract: The process of engineering analysis, especially its preprocessing stage, comprises some knowledge-based tasks which influence the quality of the results greatly, require considerable level of expertise from an engineer; the support for these tasks by the contemporary CAE systems is limited. Analysis of the knowledge and reasoning involved in solving these tasks shows that the appropriate support for them by an automated system can be implemented using case-based reasoning (CBR) technology and ontological knowledge representation model. In this paper the knowledge-based system for intelligent support of the preprocessing stage of engineering analysis in the contact mechanics domain is presented which employs the CBR mechanism. The knowledge representation model is formally represented by the OWL DL ontology. Case representation model, case retrieval and adaptation algorithms for this model and the automated system are described.
Organisation(s): Institute of Mechanics and Computational Mechanics
External Organisation(s): Volgograd State Technical University
Type: Article
Journal: Computer Assisted Mechanics and Engineering Sciences
Volume: 14
Pages: 753-765
No. of pages: 13
ISSN: 1232-308X
Publication date: 18.12.2007
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Computational Mechanics, Mechanical Engineering, Computer Science Applications
: Details in the research portal "Research@Leibniz University"

BibTeX

@article{071630bfc1804e819912ae6d2b784b19,
title = "Integration of a case-based reasoning and an ontological knowledge base in the system of intelligent support of finite element analysis",
abstract = "The process of engineering analysis, especially its preprocessing stage, comprises some knowledge-based tasks which influence the quality of the results greatly, require considerable level of expertise from an engineer; the support for these tasks by the contemporary CAE systems is limited. Analysis of the knowledge and reasoning involved in solving these tasks shows that the appropriate support for them by an automated system can be implemented using case-based reasoning (CBR) technology and ontological knowledge representation model. In this paper the knowledge-based system for intelligent support of the preprocessing stage of engineering analysis in the contact mechanics domain is presented which employs the CBR mechanism. The knowledge representation model is formally represented by the OWL DL ontology. Case representation model, case retrieval and adaptation algorithms for this model and the automated system are described.",
keywords = "Artificial intelligence, Case-based reasoning, Finite element analysis, Ontologies",
author = "Peter Wriggers and Marina Siplivaya and Irina Zhukova and Alexander Kapysh and Anton Kultsov",
year = "2007",
month = dec,
day = "18",
language = "English",
volume = "14",
pages = "753--765",
journal = "Computer Assisted Mechanics and Engineering Sciences",
issn = "1232-308X",
publisher = "Polish Academy of Sciences",
number = "4",
}