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

Authors:
Peter Wriggers;Marina Siplivaya;Irina Joukova;Roman Slivin
Affiliations:
University of Hannover, Institute of Computational Mechanics and Building Mechanics, Appelstrasse 9a, 30-167 Hannover, Germany;Volgograd State University of Architecture and Civil Engineering, IST Department, Akademicheskaya 1, 400074 Volgograd, Russia;Volgograd State Technical University, CAD Department, Lenina 28, 400131 Volgograd, Russia;Volgograd State Technical University, CAD Department, Lenina 28, 400131 Volgograd, Russia
Venue:
Engineering Applications of Artificial Intelligence
Year:
2007

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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.