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TOWARDS WHOLE SPECTRUM JET NOISE PREDICTION

全谱射流噪声预测

基本信息

批准号：
EP/M01391X/1
负责人：
Hao Xia
金额：
$ 12.45万
依托单位：
Loughborough University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2015
资助国家：
英国
起止时间：
2015 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FM01391X%2F1
关键词：
TOWARDS WHOLE SPECTRUM JET NOISE

项目摘要

Driven by the rapid growth in air transport, the world's civil aircraft fleet is almost doubling in size every two decades. Major UK airports are under increasing pressure to add extra new runways. The impact of aircraft noise on the local environment is profound especially in the surrounding areas of an airport. In the worst case noise can be more than just annoying, potentially being a contributory factor towards illnesses such as hypertension. In the latest FlightPath 2050 noise emission targets, set by the Advisory Council for Aviation Research and innovation in Europe (ACARE), the perceived noise emission of flying aircraft is to be reduced by 65% relative to levels of 2000 by 2050. This is a huge ambition and tremendous challenge to the aerospace industry, potentially putting noise research to the forefront. Continuing reductions in permitted take-off noise levels are also making the existing technology and more established plane/engine models obsolete giving the strong economic implications for the proposed work.Large Eddy Simulation (LES) based numerical prediction of jet noise has become increasingly promising in both research communities and industry. Despite LES prediction being generally more affordable compared to acoustic experiments, it is still time consuming and costly, often requiring significant High Performance Computing (HPC) resources, in order to capture both low- and high-frequency noise spectra. This is known as the scale disparity, and clearly is preventing LES based noise predictive methods from being further applied to more complex and realistic industrial jet configurations. To circumvent this obstacle of scale disparity, the work proposed aims to explore the potential advantages of a novel approach of combining noise spectra (in the spectral space) obtained from LES solutions with different grid resolutions in the physical space. The current work extends the methodology developed in the recently completed and highly successful EPSRC project GR/T06629/01, in which the applicant being the lead researcher, and the ongoing Rolls-Royce/TSB funded SILOET programme jet noise project. Results obtained from this work will be benchmarked against NASA experimental data as well as results from a full length sampling fine-grid single LES solution. The work will also investigate turbulent energy flux directed from smaller eddies to larger ones by a low-pass filtering analysis of the resolved flow field, the evaluation of velocity structure function and turbulent kinetic energy spectra.

在航空运输快速增长的推动下，世界民用飞机机队规模几乎每二十年翻一番。英国主要机场面临着增加额外新跑道的越来越大的压力。飞机噪声对当地环境的影响是深远的，尤其是在机场周边地区。在最坏的情况下，噪音不仅令人烦恼，还可能是导致高血压等疾病的一个因素。在欧洲航空研究与创新咨询委员会 (ACARE) 制定的最新 FlightPath 2050 噪声排放目标中，到 2050 年，飞行飞机的感知噪声排放量将比 2000 年的水平减少 65%。这对航空航天业来说是一个巨大的雄心和巨大的挑战，有可能将噪声研究置于最前沿。允许起飞噪声水平的持续降低也使得现有技术和更成熟的飞机/发动机模型变得过时，从而对拟议工作产生了强烈的经济影响。基于大涡模拟（LES）的喷气噪声数值预测在研究界和工业界都变得越来越有前景。尽管 LES 预测通常比声学实验更便宜，但它仍然耗时且成本高昂，通常需要大量高性能计算 (HPC) 资源，才能捕获低频和高频噪声频谱。这被称为尺度差异，并且显然阻碍了基于 LES 的噪声预测方法进一步应用于更复杂和现实的工业喷气机配置。为了规避尺度差异的障碍，本文提出的工作旨在探索一种新方法的潜在优势，该方法将从物理空间中具有不同网格分辨率的 LES 解决方案获得的噪声谱（在谱空间中）组合起来。目前的工作扩展了最近完成且非常成功的 EPSRC 项目 GR/T06629/01 中开发的方法，其中申请人是首席研究员，以及正在进行的劳斯莱斯/TSB 资助的 SILOET 计划喷气噪声项目。这项工作获得的结果将根据 NASA 实验数据以及全长采样细网格单 LES 解决方案的结果进行基准测试。这项工作还将通过对解析流场的低通滤波分析、速度结构函数和湍流动能谱的评估来研究从较小涡流引导到较大涡流的湍流能通量。