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

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  • Volgograd State Technical University
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OriginalspracheEnglisch
Seiten (von - bis)709-720
Seitenumfang12
FachzeitschriftEngineering Applications of Artificial Intelligence
Jahrgang20
Ausgabenummer5
PublikationsstatusVeröffentlicht - 1 Aug. 2007

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.

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Intelligent support of engineering analysis using ontology and case-based reasoning. / Wriggers, Peter; Siplivaya, Marina; Joukova, Irina et al.
in: Engineering Applications of Artificial Intelligence, Jahrgang 20, Nr. 5, 01.08.2007, S. 709-720.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Wriggers P, Siplivaya M, Joukova I, Slivin R. Intelligent support of engineering analysis using ontology and case-based reasoning. Engineering Applications of Artificial Intelligence. 2007 Aug 1;20(5):709-720. doi: 10.1016/j.engappai.2006.12.002
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AU - Siplivaya, Marina

AU - Joukova, Irina

AU - Slivin, Roman

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