Adjoint-based Optimization of Liners for Noise Reduction

基于伴随的降噪衬里优化

• 批准号: 265516838
• 负责人: Professor Dr. Nicolas R. Gauger
• 金额: --
• 依托单位: Arbeitsgruppe Scientific Computing (SciComp)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2017-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/265516838?language=en
• 关键词: Adjoint; based; Optimization; Liners; Noise

In this project, we aim to develop an efficient and innovative framework to optimize acoustic liners in reducing the jet engine noise. In particular, this research is aimed at improving the liner efficiency by employing a spatially variable liner parameterization involving a large number of design parameters. Since the liner efficiency strongly depends on the location of the source and the flow properties, we aim at performing multi-point optimization to account for the changes in the design point. For this purpose, a discrete adjoint solver based on the underlying high-order linearized Euler solver will be developed using Automatic Differentiation techniques. The discrete adjoint solver will then be combined with a gradient-based optimization algorithm to able to perform large-scale optimization of acoustic liners.

在这个项目中，我们的目标是开发一个高效和创新的框架来优化声学衬里，以降低喷气发动机的噪音。特别是，本研究旨在通过采用涉及大量设计参数的空间可变线性参数化来提高线性效率。由于衬管效率很大程度上取决于源位置和流动特性，因此我们的目标是执行多点优化以考虑设计点的变化。为此，将使用自动微分技术开发基于底层高阶线性化欧拉求解器的离散伴随求解器。然后，离散伴随求解器将与基于梯度的优化算法相结合，以便能够对声衬进行大规模优化。

项目成果

Development of an Adjoint CAA Solver for Design Optimization of Acoustic Liners

开发用于隔音衬里设计优化的伴随 CAA 求解器

• DOI: 10.2514/6.2016-2778
• 发表时间: 2016
• 作者: E. Özkaya;J. Abdel Hay;N.R. Gauger;und F. Thiele
• 通讯作者: und F. Thiele

Application of an Adjoint CAA Solver for Design Optimization of Acoustic Liners

应用伴随 CAA 求解器优化隔音衬里的设计

• DOI: 10.2514/6.2016-2775
• 发表时间: 2016
• 作者: J. Abdel Hay;E. Özkaya;N. R. Gauger;und N. Schönwald
• 通讯作者: und N. Schönwald