An Integrated Framework for High-Order Aeroacoustics of Complex Configurations

复杂结构高阶气动声学的集成框架

• 批准号: 1114816
• 负责人: Antony Jameson
• 金额: $ 42.54万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1114816&HistoricalAwards=false
• 关键词: Integrated; Framework; Order; Aeroacoustics; Complex

Direct numerical simulation of noise production and propagation remains prohibitively expensive for engineering problems due to resolution requirements. Consequently, hybrid approaches are adopted, which consist of predicting near-field flow quantities via a suitable computational fluid dynamics simulation, and far-field sound radiation by aero-acoustic integral methods, or acoustic analogy formulations. It is critical that the complex flow physics associated with sound generation in the near field is accurately captured by the computational fluid dynamics simulation. Therefore, it is necessary to use a high-order numerical scheme with very low dispersion/dissipation errors. Also, the most significant airframe noise sources are landing gear and high-lift components, such as slats and flaps. The geometric complexity of these components calls for use of numerical methods that can perform well on unstructured grids. The high-order Vincent-Castonguay-Jameson-Huynh (VCJH) schemes recently developed by the principal investigator and colleagues at Stanford University with National Science Foundation funding satisfy both of the aforementioned requirements. In the present work, a state-of-the-art computational framework will be developed for performing aero-acoustics simulations by integrating advanced sub-grid scale (SGS) models for large-eddy simulations (LES) of turbulent flow, and a new Ffowcs Williams-Hawkings (FWH) acoustic analogy formulation for sound propagation, with a graphical processing unit (GPU) enabled high-order VCJH flow solver for unstructured grids. The resulting software will enable the principal investigator and colleagues to undertake high-fidelity large scale aero-acoustics simulations over complex configurations at an affordable cost. The ability to perform such simulations will greatly facilitate design of new aircraft with reduced noise signatures.The future growth of commercial air transportation (currently predicted to triple by the year 2030) may be severely limited by its adverse environmental impacts (both emissions and noise). Noise regulations have become, and will continue to become, increasingly stringent, and noise reduction is now a major consideration in the design of transport aircraft. Although computer simulations currently play a major role in airplane design, their ability to predict noise, and in particular airframe noise (which is the largest component of noise during landing) remains very limited. The principal investigator and his colleagues aim to combine new mathematical and computational techniques to advance the state-of-the-art in noise prediction, and thereby enable design of new, quieter aircraft, with the ultimate target of restricting their noise footprint to within airport perimeters. A successful outcome is significant to the United States economy because commercial aircraft continue to be the largest single export sector.

由于分辨率要求，对噪声产生和传播的直接数值模拟对于工程问题而言仍然非常昂贵。因此，采用了混合方法，包括通过合适的计算流体动力学模拟预测近场流量，以及通过空气声学积分方法或声学类比法制剂的远场声音辐射。至关重要的是，由计算流体动力学模拟准确捕获了与近场相关的复杂流体物理学。因此，有必要使用具有非常低的分散/耗散误差的高阶数值方案。同样，最重要的机身噪声源是起落架和高速公路组件，例如板条和襟翼。这些组件的几何复杂性要求使用可以在非结构化网格上表现良好的数值方法。高阶Vincent-Castonguay-Jameson-Huynh（VCJH）计划最近由斯坦福大学的首席研究员和同事们开发了国家科学基金会资金，满足了上述这两个要求。在目前的工作中，将开发一个最先进的计算框架，以通过整合湍流大型模拟（LES）的高级子网格量表（SGS）模型，并进行新的FFOWCS WILLIAMS-HAWKINGS（FFOWCS），用于与图形处理的较高的传播工具（FFOWCS Williams-Hawkings（FFW））（FFW）（FFWH）的声音分析（GPU）（GPU）。非结构化的网格。最终的软件将使主要调查员和同事能够以负担得起的成本进行大规模的空中空气声学模拟。进行此类模拟的能力将极大地促进噪声标志降低的新飞机的设计。商业航空运输的未来增长（目前预计到2030年将被预测为三倍）可能会受到其不利的环境影响（排放和噪音）的严重限制。噪声法规已经成为并将继续变得越来越严格，现在降噪已成为运输飞机设计的主要考虑因素。尽管目前计算机模拟在飞机设计中起着重要作用，但它们的预测噪音的能力，尤其是机身噪声（这是登陆过程中噪声的最大组成部分）仍然非常有限。首席研究员及其同事旨在将新的数学和计算技术结合起来，以推动噪声预测的最新预测，从而使新的，更安静的飞机的设计以及将其噪声足迹限制在机场外部人员内的最终目标。成功的结果对美国的经济意义重大，因为商用飞机仍然是最大的单一出口部门。