CAREER: Fundamental Analysis and Computational Modeling of Acoustic Radiation in Turbulent Reacting Flows

职业：湍流反应流中声辐射的基础分析和计算模型

• 批准号: 1347566
• 负责人: Matthias Ihme
• 金额: $ 18.46万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-06-01 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1347566&HistoricalAwards=false
• 关键词: CAREER; Fundamental; Analysis; Computational; Modeling

0844587IhmeThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This research is intended to achieve new, useful insights into control of noise pollution from jet aircraft by studying turbulent reactive flows and developing computational models. Remarkable reductions in jet noise have been achieved with high-bypass turbofan engines, which made combustion noise a leading noise contributor. Furthermore, new clean-combustion technologies have had the unwanted effect of increasing combustion noise. Predictive modeling capabilities are not available largely because of the limited scientific understanding of these phenomena, which forces the implementation of costly passive sound-mitigating programs on the ground.Fundamental understanding of this acoustic radiation will be sought by combining fundamental analysis, development of predictive modeling capabilities on the NSF TeraGrid system, and experimental validation. Direct numerical simulations of benchmark flame configurations will be conducted on turbulent premixed, partially premixed, and diffusion flames to identify and understand the processes controlling acoustic radiation. Using this knowledge, a consistent modeling capability will be developed applicable for reliable noise predictions in combustion LES. This model will be validated in simulations of complex flame configurations for which experimental data are available. Such detailed simulation data will be valuable in identifying acoustic sources, understanding acoustic-thermochemical coupling mechanisms, characterizing sound-refraction effects, and guiding experimental instrumentation. Model capabilities developed in this research can also be integrated into simulation tools for designing advanced combustion systems in aircraft engines, gas turbines, and other applications. This improved understanding of noise mechanism could also be of potential relevance to areas outside the power generation field, such as acoustic sensing and helioseismic applications that deal with solar-acoustic oscillations.A comprehensive education and outreach program is part of this CAREER grant. Its particular emphasis is to recruit underrepresented high-school students from communities in proximity to local airports that are directly affected by aircraft noise pollution. Through summer internships and the close interaction with undergraduate students through classroom projects on specific problems addressing various noise and air pollution aspects they can relate to, these high school students will be encouraged to pursue engineering careers to work on issues that have a direct benefit to their community. Another component of the education plan is to expose a group of motivated and diverse undergraduate students to computational modeling and high-performance computing through research activities, summer schools, and undergraduate curricula. Acquiring such skills early in their careers is increasingly important with the growing use of computational modeling to solve the technological challenges of our world.

0844587Ihme该奖项由 2009 年美国复苏和再投资法案（公法 111-5）资助。这项研究旨在通过研究湍流反应流和开发计算模型，获得对喷气式飞机噪声污染控制的新的、有用的见解。高涵道比涡轮风扇发动机显着降低了喷气噪声，这使得燃烧噪声成为主要的噪声源。 此外，新的清洁燃烧技术还产生了增加燃烧噪音的不良影响。预测建模功能之所以无法使用，主要是因为对这些现象的科学理解有限，这迫使在地面上实施成本高昂的被动消声计划。将通过结合基础分析、NSF TeraGrid 系统预测建模功能的开发和实验验证来寻求对这种声辐射的基本理解。将对湍流预混、部分预混和扩散火焰进行基准火焰配置的直接数值模拟，以识别和理解控制声辐射的过程。利用这些知识，将开发出一致的建模能力，适用于燃烧 LES 中可靠的噪声预测。该模型将在具有实验数据的复杂火焰配置的模拟中得到验证。 此类详细的模拟数据对于识别声源、了解声热化学耦合机制、表征声音折射效应以及指导实验仪器非常有价值。这项研究中开发的模型功能还可以集成到仿真工具中，用于设计飞机发动机、燃气轮机和其他应用中的先进燃烧系统。这种对噪声机制的更好的理解也可能与发电领域以外的领域具有潜在的相关性，例如处理太阳声振荡的声学传感和日震应用。综合教育和推广计划是这项职业资助的一部分。它特别强调的是从当地机场附近直接受飞机噪音污染影响的社区招募代表性不足的高中生。通过暑期实习以及通过课堂项目与本科生密切互动，解决他们可能涉及的各种噪音和空气污染方面的具体问题，这些高中生将被鼓励从事工程职业，致力于解决对其社区有直接好处的问题。教育计划的另一个组成部分是通过研究活动、暑期学校和本科生课程，让一群积极主动、多元化的本科生接触计算建模和高性能计算。随着越来越多地使用计算建模来解决当今世界的技术挑战，在职业生涯早期获得此类技能变得越来越重要。