Details
| Original language | English |
|---|---|
| Pages (from-to) | 753-765 |
| Number of pages | 13 |
| Journal | Computer Assisted Mechanics and Engineering Sciences |
| Volume | 14 |
| Issue number | 4 |
| Publication status | Published - 18 Dec 2007 |
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
ASJC Scopus subject areas
- Engineering(all)
- Computational Mechanics
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
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In: Computer Assisted Mechanics and Engineering Sciences, Vol. 14, No. 4, 18.12.2007, p. 753-765.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Integration of a case-based reasoning and an ontological knowledge base in the system of intelligent support of finite element analysis
AU - Wriggers, Peter
AU - Siplivaya, Marina
AU - Zhukova, Irina
AU - Kapysh, Alexander
AU - Kultsov, Anton
PY - 2007/12/18
Y1 - 2007/12/18
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Case-based reasoning
KW - Finite element analysis
KW - Ontologies
UR - http://www.scopus.com/inward/record.url?scp=37049023031&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:37049023031
VL - 14
SP - 753
EP - 765
JO - Computer Assisted Mechanics and Engineering Sciences
JF - Computer Assisted Mechanics and Engineering Sciences
SN - 1232-308X
IS - 4
ER -