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Multidisciplinary Design, Analysis, and Optimization Tool Development using a Genetic AlgorithmMultidisciplinary design, analysis, and optimization using a genetic algorithm is being developed at the National Aeronautics and Space A dministration Dryden Flight Research Center to automate analysis and design process by leveraging existing tools such as NASTRAN, ZAERO a nd CFD codes to enable true multidisciplinary optimization in the pr eliminary design stage of subsonic, transonic, supersonic, and hypers onic aircraft. This is a promising technology, but faces many challe nges in large-scale, real-world application. This paper describes cur rent approaches, recent results, and challenges for MDAO as demonstr ated by our experience with the Ikhana fire pod design.
Document ID
20080040693
Acquisition Source
Armstrong Flight Research Center
Document Type
Conference Paper
Authors
Pak, Chan-gi
(NASA Dryden Flight Research Center Edwards, CA, United States)
Li, Wesley
(NASA Dryden Flight Research Center Edwards, CA, United States)
Date Acquired
August 24, 2013
Publication Date
September 14, 2008
Subject Category
Aircraft Design, Testing And Performance
Meeting Information
Meeting: 26th ICAS Congress Conference
Location: Anchorage, Alaska
Country: United States
Start Date: September 14, 2008
End Date: September 19, 2008
Sponsors: American Inst. of Aeronautics and Astronautics
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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