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On the evolution of CAE research1

Published online by Cambridge University Press:  27 February 2009

Clive L. Dym and
Raymond E. Levitt
Clive L. Dym
Affiliation:
Department of Engineering, Harvey Mudd College, Claremont, CA91711–5990.
Raymond E. Levitt
Affiliation:
Department of Civil Engineering, Stanford University, Stanford, CA94305.
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Abstract

Less than a decade ago it seemed that a new paradigm of engineering–called computer-aided engineering (CAE) – was emerging. This emergence was driven in part by the success of computer support for the tasks of engineering analysis and in part by a new understanding of how computational ideas largely rooted in artificial intelligence (AI) could perhaps improve the practice of engineering, especially in the area of design synthesis. However, while this “revolution” has failed to take root or flourish as a separate discipline, it has spawned research that is very different from traditional engineering research. To the extent that such CAE research is different in style and paradigm, it must also be evaluated according to different metrics. Some of the metrics that can be used are suggested, and some of the evaluation issues that remain as open questions are pointed out.

Keywords

CAE ResearchComputational ParadigmsDesigners’ Assistants

Information

Type
Articles
Information
AI EDAM , Volume 8 , Issue 4 , Fall 1994, pp. 275 - 282
Copyright
Copyright © Cambridge University Press 1994

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