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Engineering design synthesis: a domain independent representation

Published online by Cambridge University Press:  27 February 2009

Mary Lou Maher
Mary Lou Maher
Affiliation:
Department of Civil Engineering, Carnegie Mellon University, Pittsburgh, PA 15213-3890, U.S.A.
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Abstract

The knowledge used in the design of engineering systems includes: understanding systems and their components, and the understanding implications of design decisions on other decisions and further problem decomposition This paper presents design as a process and then characterizes the knowledge used in synthesizing design alternatives. A knowledge based approach to design synthesis is proposed, followed by a description of the implementation of a domain independent synthesis framework. The implementation is further illustrated by an example application to structural design.

Type
Research Article
Information
AI EDAM , Volume 1 , Issue 3 , August 1987 , pp. 207 - 213
Copyright
Copyright © Cambridge University Press 1987

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References

Arciszewski, T. 1986. Mathematical modelling of morphological analysis. Proceedings of Fifth ICMM.CrossRefGoogle Scholar
Asimov, M. 1962. Introduction to Design. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Carbonell, J. G. and Joseph, R. 1985. FRAMEKIT+: A Knowledge Representation System. Technical Report, Department of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania.Google Scholar
Coleman, R. 1983. Structural Systems Design. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Dixon, J., Howe, A., Cohen, P. and Simmons, M. 1986. DOMINIC: A domain independent program for mechanical engineering design. In Sriram, D. and Adey, R. A. (Eds), Proceedings, 1st International Conference on Applications of Artificial Intelligence in Engineering Problems. London: Springer Verlag.Google Scholar
Fenves, S., Flemming, U., Hendrickson, C., Maher, M. and Schmitt, G. 1988. An integrated software environment for building design and construction. Proceedings Fifth Conference on Computing in Civil Engineering. ASCE.Google Scholar
Fraser, D. J. 1981. Conceptual Design and Preliminary Analysis of Structures. London: Pitman.Google Scholar
Gordon, W. 1961. SYNECT1CS The Development of Creative Capacity. New York: Harper & Row.Google Scholar
Hogate, A. 1986. The An in Structural Design. Oxford: Oxford University Press.Google Scholar
Hutchinson, P. 1985. An expert system for the selection of earth retaining structures. Unpubl. Master's thesis, Department of Architectual Science, University of Sydney.Google Scholar
Krick, E. V. 1967. An Introduction to Engineering and Engineering Design. New York: John Wiley.Google Scholar
Lin, T. Y. and Stotesbury, S. D. 1981. Structural Concepts and Systems for Architects and Engineers. New York: John Wiley.Google Scholar
Maher, M. L. 1984. HI-RISE: A knowledge-based expert system for the preliminary structural design of high rise buildings. Unpubl. PhD thesis. Department of Civil Engineering, Carnegie Mellon University.Google Scholar
Mitchell, T., Steinberg, L. and Shulman, J. 1985. A knowledge-based approach to design. In IEEE Transactions on Pattern Analysis and Machine Intelligence.CrossRefGoogle Scholar
Mittal, S. and Frayman, F. 1987. COSSACK: A constraint-based expert system for configuration tasks. In Sriram, D. and Adey, R. A. (Eds), Knowledge Based Expert Systems in Engineering: Planning and Design, pp. 143–510. Computational Mechanics Publications.Google Scholar
Simon, H. 1967. The Sciences of the Artificial. MIT Press, Cambridge, MA.Google Scholar
Tong, C. 1987. Goal-directed planning of the design process. Proceedings, 3rd IEEE Conference on AI Applications.Google Scholar