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- 竹宮 哲士
- Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology
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- ディミトゥリ N. マビィリス
- Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology
書誌事項
- タイトル別名
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- Aerodynamic Optimization through Automatic Differentiation and CFD
- ジドウ ビブンホウ ト CFD オ モチイタ クウリキ サイテキ セッケイ
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抄録
Automatic differentiation through source code transformation is a very powerful strategy for gradient-based optimization studies. However, memory allocation is a significant challenge if the transformed code is used without any modifications because automatic differentiation requires huge memory space. A general strategy to calculate derivatives of CFD solutions analytically through automatic differentiation without the memory problem is proposed in this paper. The problem of memory allocation is avoided by wisely modifying the code generated by automatic differentiation, and by feeding a set of converged solutions to the modified code. This strategy is validated by comparing derivatives computed through automatic differentiation and finite differentiation. The proof of concept application is the optimization of airfoil shape in transonic speed regime using a general CFD software available on line.
収録刊行物
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- 日本航空宇宙学会論文集
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日本航空宇宙学会論文集 57 (662), 89-97, 2009
一般社団法人 日本航空宇宙学会
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詳細情報 詳細情報について
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- CRID
- 1390282679446804864
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- NII論文ID
- 10025163690
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- NII書誌ID
- AA11307372
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- ISSN
- 24323691
- 13446460
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- NDL書誌ID
- 10216190
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可