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Computational aerodynamics and artificial intelligenceThe general principles of artificial intelligence are reviewed and speculations are made concerning how knowledge based systems can accelerate the process of acquiring new knowledge in aerodynamics, how computational fluid dynamics may use expert systems, and how expert systems may speed the design and development process. In addition, the anatomy of an idealized expert system called AERODYNAMICIST is discussed. Resource requirements for using artificial intelligence in computational fluid dynamics and aerodynamics are examined. Three main conclusions are presented. First, there are two related aspects of computational aerodynamics: reasoning and calculating. Second, a substantial portion of reasoning can be achieved with artificial intelligence. It offers the opportunity of using computers as reasoning machines to set the stage for efficient calculating. Third, expert systems are likely to be new assets of institutions involved in aeronautics for various tasks of computational aerodynamics.
Document ID
19840023019
Acquisition Source
Legacy CDMS
Document Type
Technical Memorandum (TM)
Authors
Mehta, U. B. (NASA Ames Research Center Moffett Field, CA, United States)
Kutler, P. (NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
September 4, 2013
Publication Date
June 1, 1984
Subject Category
Aerodynamics
Report/Patent Number
A-9807
NAS 1.15:85994
NASA-TM-85994
Accession Number
84N31089
Funding Number(s)
PROJECT: RTOP 505-31-01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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