Predictive LES for Jet Aeroacoustics: Current Approach and Industrial Application
Predictive LES for Jet Aeroacoustics: Current Approach and Industrial Application
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DOI：
10.1115/gt2016-56673
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发表时间：
2016-06
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通讯作者：
J. Tyacke;I. Naqavi;Zhong-Nan Wang;P. Tucker;P. Boehning
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作者：
J. Tyacke;I. Naqavi;Zhong-Nan Wang;P. Tucker;P. Boehning
© 2016 美国机械工程师学会 (ASME)。测量喷气噪声的主要技术具有显着的缺点，特别是在考虑发动机安装效应（例如喷气襟翼相互作用噪声）时。众所周知，包括低阶相关和雷诺平均纳维斯托克斯 (RANS) 在内的数值方法对于复杂的配置甚至简单的射流来说都是有缺陷的。使用大涡模拟 (LES) 等高保真数值方法可以仔细控制和量化条件。 LES 方法比实验性活动更实用、更经济。在不久的将来，有可能使用 LES 方法来预测噪声、识别噪声风险，从而在发动机或飞机制造之前修改设计。对于较低雷诺数的应用尤其如此，例如商务喷气机的喷气噪声和翼下发动机安装的喷气-襟翼相互作用噪声。因此，我们介绍了当前可靠预测喷气机噪声的方法，并将 RANS-Numerical-LES (RANS-NLES) 的成本与传统方法进行了对比。我们自己的预测和现有文献用于提供当前指南，包括数值方面、网格划分和声学处理。还简要考虑了其他方法。我们还解决了如何验证和验证声学代码以及如何将基于 LES 的方法引入行业等关键问题。我们认为混合 RANS-(N)LES 现在已用于工业和对比成本，表明涡流解析方法具有明显的优势。
© 2016 by ASME. The major techniques for measuring jet noise have significant drawbacks, especially when including engine installation effects such as jet-flap interaction noise. Numerical methods including low order correlations and Reynolds-Averaged Navier- Stokes (RANS) are known to be deficient for complex configurations and even simple jet flows. Using high fidelity numerical methods such as Large Eddy Simulation (LES) allow conditions to be carefully controlled and quantified. LES methods are more practical and affordable than experimental campaigns. The potential to use LES methods to predict noise, identify noise risks and thus modify designs before an engine or aircraft is built is a possibility in the near future. This is particularly true for applications at lower Reynolds numbers such as jet noise of business jets and jet-flap interaction noise for under-wing engine installations. Hence, we introduce our current approaches to predicting jet noise reliably and contrast the cost of RANS-Numerical-LES (RANS-NLES) with traditional methods. Our own predictions and existing literature are used to provide a current guide, encompassing numerical aspects, meshing and acoustics processing. Other approaches are also briefly considered. We also tackle the crucial issues of how codes can be validated and verified for acoustics and how LES based methods can be introduced into industry. We consider that hybrid RANS-(N)LES is now of use to industry and contrast costs, indicating the clear advantages of eddy resolving methods.