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流体騒音の数値解析の現状と課題 Computational aeroacoustics: Present status and problems to be solved 加藤, 千幸 Kato, Chisachi 計算流体音響学 空力騒音 巨大渦シミュレーション ブラフボディ 騒音低減 騒音予測 騒音スペクトル computational aeroacoustics aerodynamic noise large eddy simulation bluff body noise reduction noise prediction noise spectrum Computational Aeroacoustics, which is defined as a method that numerically predicts sound due to fluid motion, is expected to become a powerful engineering tool for identifying primary mechanism of noise generation from the flow of interest and investigating means to achieve noise reduction. Unlike in the United States and some European countries, where noise generated from high-speed flow such as jet engine noise (fan noise) is of the central interest in this field, noise generated from relatively low-speed flow is the major interest in Japan and some Asian countries. This includes noise from low-pressure fans, automobiles and high-speed trains. Prediction of noise due to low-speed flows is, in general (or practically), achieved by a decoupling method where source fluctuations are first computed and fed to the following acoustic computation as the input data with an assumption that the generated sound does not alter the source flow field. It is crucially important to apply a decoupling method that is appropriate and most feasible to the flow and sound field of interest. Then, the accuracy of the source computations generally determines the overall performance of the sound prediction. This paper focuses on the noise generated from low-speed flows and overviews the present status of the noise prediction. Issues to be solved will also be addressed. 資料番号: AA0047776020 レポート番号: JAXA-SP-04-002 宇宙航空研究開発機構 Japan Aerospace Exploration Agency (JAXA) 2005-01-28 jpn conference paper https://jaxa.repo.nii.ac.jp/records/6574 1349-113X AA11984031 宇宙航空研究開発機構特別資料: 境界層遷移の解明と制御研究会講演論文集　第33回・第34回 JAXA Special Publication: Proceedings of the 33rd and 34th JAXA Workshops on Investigation and Control of Boundary-Layer Transition JAXA-SP-04-002 67 70 https://jaxa.repo.nii.ac.jp/record/6574/files/47776020.pdf application/pdf 1.1 MB 2020-01-16