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タイトルIntegrating CFD, CAA, and Experiments Towards Benchmark Datasets for Airframe Noise Problems
本文(外部サイト)http://hdl.handle.net/2060/20120016320
著者(英)Choudhari, Meelan M.; Yamamoto, Kazuomi
著者所属(英)NASA Langley Research Center
発行日2012-10-03
言語eng
内容記述Airframe noise corresponds to the acoustic radiation due to turbulent flow in the vicinity of airframe components such as high-lift devices and landing gears. The combination of geometric complexity, high Reynolds number turbulence, multiple regions of separation, and a strong coupling with adjacent physical components makes the problem of airframe noise highly challenging. Since 2010, the American Institute of Aeronautics and Astronautics has organized an ongoing series of workshops devoted to Benchmark Problems for Airframe Noise Computations (BANC). The BANC workshops are aimed at enabling a systematic progress in the understanding and high-fidelity predictions of airframe noise via collaborative investigations that integrate state of the art computational fluid dynamics, computational aeroacoustics, and in depth, holistic, and multifacility measurements targeting a selected set of canonical yet realistic configurations. This paper provides a brief summary of the BANC effort, including its technical objectives, strategy, and selective outcomes thus far.
NASA分類Fluid Mechanics and Thermodynamics
レポートNONF1676L-14832
権利Copyright, Distribution as joint owner in the copyright


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