Advertisement

An Expert System Finite Element Modeler

  • A. Kissil
  • H. A. Kamel
Conference paper

Abstract

Finite element modeling is a critical step in the process of structural analysis. It can be a time consuming and costly process as well as a potential source of error. A rule-based expert system is proposed as a tool to be used by the structural analyst in creating the finite element model. Given the structural geometry, material properties, loadings, boundary conditions, and pre-specified maximum allowable error and/or number of degrees of freedom, the system will decide on an optimal discretization for the finite element model. An empirical data base of case studies for standard subregions subjected to standard loadings and boundary conditions will be accessed during the decision making process. The job of interfacing the different standard subregions will be handled by heuristic rules. In this way we can combine heuristic reasoning with an empirical data base to achieve an accurate estimate for an optimal finite element mesh. This method differs from the adaptive methods in that we obtain our mesh a priori, before solving our system of equations.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bennett, J.S.; Creary, L.; Engelmore, R.; and Melosh, R. (1978) “Sacon: A Knowledge-Based Consultant for Structural Analysis,“ Rept. No. HPP-78–23 Computer Science Dept., Stanford Univ.Google Scholar
  2. Fenves, S.J.; Maher, M.L. (1983) “Hi-Rise: An Expert System for the Preliminary Design of High Rise Buildings,” Tech. Rept., Dept. of Civil Engineering, Carnegie-Mellon University.Google Scholar
  3. Fenves, S.J.; Maher, M.L. (1984) “Tools and Techniques for Knowledge Based Expert Systems for Engineering Design,” Advances in Engineering Software, Vol.6, No.4, pp.178–188.CrossRefGoogle Scholar
  4. Fenves, S.J.; Maher, M.L.; Sriram, D. (April 1984) “Knowledge-Based Expert Systems in Civil Engineering,” Computing in Civil Engineering.Google Scholar
  5. Fenves, S.J.; Maher, M.L.; Sriram, D. (1985) “Knowledge-Based Expert Systems in Structural Design,” Computers and Structures, Vol.20, No.1–3, pp.1–9.CrossRefGoogle Scholar
  6. Fikes, R.; Kehler, T. (1985) “The Role of FrameBased Representation in Reasoning,” Comm. of ACM, Vol.28, No.9, pp.904–920.CrossRefGoogle Scholar
  7. Fjellheim, R.; Syversen, P. (1983) “An Expert System for Sesam-69 Structural Analysis Program Selection” Tech. Rept. CP-83–6010, Division of Data Technology Computas, Norway.Google Scholar
  8. Kamel, H.A. (1985) “Gifts User’s Reference Manual,” Casa/Gifts, Inc., Tucson, Arizona.Google Scholar
  9. Rivlin, J.M.; Hsu, M.B.; Marcal, P.V. (1980) “Knowledge-Based Consultation for Finite Element Structural Analysis,” U.S. Air Force Flight Dynamics Lab. Rept. AFWAL-TR-80–3069, WrightPatterson Air Force Base, OH.Google Scholar
  10. Rooney, M.F.; Smith, S.E. (1983)“Artif icial Intelligence in Engineering Design,” Co mpute rs and Structures, Vol.16, No.1–4, pp.279–288.CrossRefGoogle Scholar
  11. Winston, P.H. (1984) Artificial Intelligence, 2nd Ed Addison-Wesley.zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • A. Kissil
    • 1
  • H. A. Kamel
    • 1
  1. 1.Dept. of Aerospace and Mechanical EngineeringUniversity of ArizonaTucsonUSA

Personalised recommendations