Multidisciplinary 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.
Multidisciplinary Design, Analysis, and Optimization Tool Development using a Genetic Algorithm
26th ICAS Congress Conference ; 2008 ; Anchorage, Alaska, United States
14.09.2008
Aufsatz (Konferenz)
Keine Angabe
Englisch
Multidisciplinary Spaceplane Design and Optimization Using a Genetic Algorithm
British Library Conference Proceedings | 2001
|Multidisciplinary Spaceplane Design and Optimization Using a Genetic Algorithm
British Library Conference Proceedings | 2001
|