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)
