DNSデータ・べ一スを用いたLES乱流モデリング

Material type: 文書・図像類

Author: 堀内, 潔ほか

Publisher: 航空宇宙技術研究所

Publication date: 1991-12

Material Format: Digital

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Notes on use

Note (General)：: The Smagorinsky model has been commonly used in large eddy simulation (LES) of turbulent flow. Although LES computations or a variety of flows using t...

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Digital

Material Type: 文書・図像類
Title: DNSデータ・べ一スを用いたLES乱流モデリング
Author/Editor: 堀内, 潔
Horiuti, Kiyosi
Author Heading: 堀内, 潔
Horiuti, Kiyosi
Publication, Distribution, etc.: 航空宇宙技術研究所
Publication Date: 1991-12
Publication Date (W3CDTF): 1991-12
Alternative Title: LES Turbulence Modeling Using DNS Data Base
Periodical title: 航空宇宙技術研究所特別資料 = Special Publication of National Aerospace Laboratory SP-16
No. or year of volume/issue: 16
Volume: 16
Pages: 1-8
ISSN (Periodical Title): ISSN : 0289-260X
Text Language Code: jpn
Target Audience: 一般
Note (General): The Smagorinsky model has been commonly used in large eddy simulation (LES) of turbulent flow. Although LES computations or a variety of flows using this model have yielded acceptable results, it was necessary to incorporate several modifications into the model: a)the model constant was optimized in different flows, b)the damping function was used to account for near-wall effects. These modifications were generally ad hoc. Besides, a poor correlation of Reynolds stress model value with the direct numerical simulation (DNS) exact value was reported. The resented paper's major objective is to address these issues and propose a new model which mitigates previous model's drawbacks by determining the proper energy scale in the subgrid scale eddy viscosity coefficient correlating with the channel flow DNS data.
資料番号: NALSP0016001
レポート番号: NAL SP-16
Source: https://jaxa.repo.nii.ac.jp/?action=repository_action_common_download&item_id=43497&item_no=1&attribute_id=31&file_no=1
https://jaxa.repo.nii.ac.jp/?action=repository_action_common_download&item_id=43497&item_no=1&attribute_id=31&file_no=1
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 宇宙航空研究開発機構 : 宇宙航空研究開発機構リポジトリ