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

authored by: 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.
Organisation(s): Institute of Continuum Mechanics
External Organisation(s): Volgograd State Technical University
Type: Article
Journal: Engineering Applications of Artificial Intelligence
Volume: 20
Pages: 709-720
No. of pages: 12
ISSN: 0952-1976
Publication date: 01.08.2007
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering
Electronic version(s): https://doi.org/10.1016/j.engappai.2006.12.002 (Access: Unknown)
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