PROPOSAL OF DESIGN METHOD TO OPTIMAL ARRANGEMENT OF TREES FOR WIND VELOCITY REDUCTION
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- MASHIMO Akane
- Azusa Sekkei Co., Ltd., M.Eng.
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- KONO Ryohei
- Assoc. Prof., Dept. of Architecture, Osaka Institute of Technology, Dr.Eng.
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- NAKAGAWA Jun
- Grad. Stud., Dept. of Architecture, Waseda University
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- MOMOSE Kazunari
- Director, Advanced Knowledge Laboratory Co. Ltd., Dr.Eng.
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- IKEJIMA Kaoru
- Representative director, Advanced Knowledge Laboratory Co. Ltd., Dr.Eng.
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- INUI Kumiko
- Office of Kumiko Inui, M.Arch.
Bibliographic Information
- Other Title
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- 風速低減を目的とした樹木の最適配置に関する設計手法の提案
- 風速低減を目的とした樹木の最適配置に関する設計手法の提案 : 随伴変数法を用いたCFD逆解析の活用に関する研究
- フウソク テイゲン オ モクテキ ト シタ ジュモク ノ サイテキ ハイチ ニ カンスル セッケイ シュホウ ノ テイアン : ズイハン ヘンスウホウ オ モチイタ CFD ギャクカイセキ ノ カツヨウ ニ カンスル ケンキュウ
- 随伴変数法を用いたCFD逆解析の活用に関する研究
- Study about utilizing reverse simulation for CFD using the adjoint variable method
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Abstract
The adjoint variable method (AVM) is a method for solving inverse problems, and is used for sensitivity analysis. This paper reports on a study considering the effective usage of AVM, and examines how AVM could be applied to achieve optimal arrangement of trees for the purpose of reducing wind velocity around a station building. The following conclusions were obtained;<br> Preferential arrangement plan of trees around Nobeoka station for the purpose of wind velocity reduction is calculated by AVM. The results showed that in the case of 10 trees with optimal placement, wind velocity would be reduced by 18% compared to wind velocity without trees. In contrast, in the case of 44 trees with all placement, wind velocity would be reduced by 29%. Even trees number is less than 1/4, the effect of 60 ~ 70% was obtained. These results confirmed the validity of the proposed method.
Journal
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- Journal of Environmental Engineering (Transactions of AIJ)
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Journal of Environmental Engineering (Transactions of AIJ) 80 (715), 803-813, 2015
Architectural Institute of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001205201868160
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- NII Article ID
- 130005105031
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- NII Book ID
- AA11830377
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- ISSN
- 1881817X
- 13480685
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- NDL BIB ID
- 026737475
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed