Khorrami Mehdi R, Fares Ehab
NASA Langley Research Center, Hampton, Virginia, 23681.
Exa GmbH, Curiestrasse 4, D-70563 Stuttgart, Germany.
CEAS Aeronaut J. 2019 Mar 13;10(1):31-67. doi: 10.1007/s13272-019-00378-1. Epub 2019 Mar 16.
An overview of a recent, NASA-sponsored effort to substantially advance simulation-based airframe noise prediction is presented. An accurate characterization of this component of aircraft noise requires a high-fidelity representation of the finer geometrical details associated with the landing gear and wing high-lift devices, such as slats and flaps, which constitute major noise sources. To achieve this ambitious goal, a systematic approach was followed to extend our current state-of-the-art computational tools to a full-scale, complete aircraft in landing configuration within a realistic flight environment. The work involved several phases: high-fidelity, large-scale, unsteady flow simulations; model-scale experiments in ground-based facilities; and farfield noise prediction for a full-scale, complete aircraft. The comprehensive aeroacoustic database generated during the course of the effort provided a wealth of relevant information for full validation and benchmarking of the advanced computational tools used in the present work. The database will also foster the development of simulation methodologies with improved predictive capabilities.
本文概述了美国国家航空航天局(NASA)近期资助的一项重大努力,旨在大幅推进基于模拟的机身噪声预测。要准确表征飞机噪声的这一组成部分,需要对与起落架和机翼高升力装置(如缝翼和襟翼)相关的更精细几何细节进行高保真表示,这些装置是主要噪声源。为实现这一宏伟目标,我们采用了一种系统方法,将当前的先进计算工具扩展到在实际飞行环境中处于着陆构型的全尺寸完整飞机。这项工作涉及几个阶段:高保真大规模非定常流模拟;在地面设施中进行模型尺度实验;以及对全尺寸完整飞机进行远场噪声预测。在这项工作过程中生成的综合气动声学数据库为全面验证和基准测试本工作中使用的先进计算工具提供了丰富的相关信息。该数据库还将促进具有改进预测能力的模拟方法的发展。