| タイトル | Multidisciplinary Optimization Methods for Aircraft Preliminary Design |
| 本文（外部サイト） | http://hdl.handle.net/2060/20040161122 |
| 著者（英） | Kroo, Ilan; Altus, Steve; Braun, Robert; Gage, Peter; Sobieski, Ian |
| 著者所属（英） | Stanford Univ. |
| 発行日 | 1994-01-01 |
| 言語 | eng |
| 内容記述 | This paper describes a research program aimed at improved methods for multidisciplinary design and optimization of large-scale aeronautical systems. The research involves new approaches to system decomposition, interdisciplinary communication, and methods of exploiting coarse-grained parallelism for analysis and optimization. A new architecture, that involves a tight coupling between optimization and analysis, is intended to improve efficiency while simplifying the structure of multidisciplinary, computation-intensive design problems involving many analysis disciplines and perhaps hundreds of design variables. Work in two areas is described here: system decomposition using compatibility constraints to simplify the analysis structure and take advantage of coarse-grained parallelism; and collaborative optimization, a decomposition of the optimization process to permit parallel design and to simplify interdisciplinary communication requirements. |
| NASA分類 | Aircraft Design, Testing and Performance |
| レポートNO | AIAA Paper -94-4325-CP |
| 権利 | Copyright, Distribution under U.S. Government purpose rights |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/87662 |
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