Inverse modal-decomposition method for complete determination of freestream disturbancesin supersonic flows

用于完全确定超音速流中自由流扰动的逆模态分解方法

基本信息

项目摘要

Wind tunnels are necessary to investigate laminar-turbulent transition of wall boundary layers for hypersonic vehicles, since these flows exhibit numerous physical flow phenomena that cannot be sufficiently accurate determined by numerical simulations at relevant Reynolds numbers. Wind tunnel tests, however, suffer from unavoidable disturbances in the test section flow, where generally acoustic waves, fluctuations of entropy, and vorticity fluctuations occur. These must be quantified over the relevant frequency range of the unstable boundary layers. The identification of the disturbances is an unsolved problem in hypersonics over the last 60 years, since there has been a lack of time-resolving measurement techniques, and the reduced physical models of wind tunnel disturbances could not be validated. By taking advantage of recent progress in time-resolving instruments for measuring pressure, velocity, and fluid density, and by using high-resolution flow simulations of a mid-size flow facility that represents world-wide state of the art, this important problem of hypersonic aerodynamics will be solved in this research project. The Institute of Aerodynamics of RWTH Aachen University will simulate the wind tunnel flow of the Hypersonic Ludwieg tube of the TU Braunschweig from the storage tube to the test section with all sources of freestream disturbances in the test section included. The computational results are used to extract and quantify the relevant disturbance modes in the test section. Highly resolved simulations of the flow over stagnation point probes in the test section will be used to determine appropriate probe geometries for identifying wave-speed directions. The Institute of Fluid Mechanics will perform Particle-Image Velocimetry to measure velocity fluctuations and Focussed Laser Differential Interferometry for density fluctuations with extensions and calibrations toward a resolution of 300kHz and to determine the measurement uncertainties. Combined with the findings of the new stagnation point probes the results will yield the acoustic modes, entropy modes, and vorticity modes by Bayesian Uncertainty Quantification. The results define future sound receptivity analyses of boundary layer behaviour in high-speed wind tunnels. The year-long numerical-experimental collaboration between Aachen and Braunschweig is the basis to successfully work on the challenging problem of modal decomposition in hypersonic flows.
风洞是研究高超声速飞行器壁面边界层层流-湍流转捩所必需的,因为这些流动表现出许多物理流动现象,而这些现象在相关雷诺数下无法通过数值模拟充分准确地确定。然而,风洞测试会受到测试段流动中不可避免的干扰,通常会出现声波、熵波动和涡度波动。这些必须在不稳定边界层的相关频率范围内量化。在过去的60年里,扰动的识别是高超声速技术中一个未解决的问题,因为一直缺乏时间分辨的测量技术,而且风洞扰动的简化物理模型不能得到验证。通过利用测量压力、速度和流体密度的时间分辨仪器的最新进展,并通过使用代表世界先进水平的中型流动设施的高分辨率流动模拟,高超声速空气动力学的这一重要问题将在本研究项目中得到解决。RWTH亚琛大学空气动力学研究所将模拟TU布伦瑞克的高超声速Ludwieg管从储存管到试验段的风洞流动,包括试验段中的所有自由振荡扰动源。计算结果被用来提取和量化相关的干扰模式在测试部分。将使用试验段中驻点探针上方气流的高分辨率模拟来确定用于识别波速方向的适当探针几何形状。流体力学研究所将进行粒子图像测速测量,以测量速度波动,并进行聚焦激光差分干涉测量,以测量密度波动,扩展和校准到300 kHz的分辨率,并确定测量不确定性。结合新的驻点探针的结果,结果将产生声学模式,熵模式,涡模式的贝叶斯不确定性量化。结果定义了未来在高速风洞中边界层行为的声感受性分析。亚琛和布伦瑞克之间长达一年的数值实验合作是成功解决高超音速流中模态分解这一具有挑战性问题的基础。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Professor Dr.-Ing. Rolf Radespiel其他文献

Professor Dr.-Ing. Rolf Radespiel的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Professor Dr.-Ing. Rolf Radespiel', 18)}}的其他基金

Koordination der Forschungsgruppe 1066
协调研究组1066
  • 批准号:
    214340875
  • 财政年份:
    2012
  • 资助金额:
    --
  • 项目类别:
    Research Units
Validation experiment on the transition of three-dimensional boundary layers on wings with spanwise varying flow conditions
展向变流条件下机翼三维边界层转变验证实验
  • 批准号:
    162041067
  • 财政年份:
    2010
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Experimentelle Untersuchung des Überziehverhaltens eines 2-Element-Profils mit 2D- und 3D-Störungen der Zuströmung
具有 2D 和 3D 流入扰动的 2 元剖面失速行为的实验研究
  • 批准号:
    85419348
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Research Units
Numerische Simulation des Überziehens von Triebwerkseinläufen im Niedergeschwindigkeitsbereich mit Reynolds-Spannungsmodellen der Turbulenz
湍流雷诺应力模型对发动机低速进气道失速的数值模拟
  • 批准号:
    85419364
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Research Units
Numerische Simulation des Überziehens von Triebwerkseinläufen im Niedergeschwindigkeitsbereich mit Reynolds-Spannungsmodellen der Turbulenz
湍流雷诺应力模型对发动机低速进气道失速的数值模拟
  • 批准号:
    31333861
  • 财政年份:
    2006
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Untersuchungen zu komplexen 3D Grenzschichtablösungen an einem Höhenleitwerksmodell
研究水平稳定器模型上的复杂 3D 边界层分离
  • 批准号:
    21602651
  • 财政年份:
    2005
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Aktive Strömungsbeeinflussung in aerodynamisch hoch belasteten Verdichter-Statoren durch den Einsatz von Strahlklappen
通过使用喷射襟翼对空气动力学高负载压缩机定子产生主动流动影响
  • 批准号:
    5437425
  • 财政年份:
    2004
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Numerical and experimental analysis of flapping flight at low Reynolds numbers
低雷诺数扑动飞行的数值与实验分析
  • 批准号:
    5380499
  • 财政年份:
    2002
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Aerodynamische Untersuchungen an Leitwerken für Transportflugzeuge
运输机尾翼装置的空气动力学研究
  • 批准号:
    5342216
  • 财政年份:
    2001
  • 资助金额:
    --
  • 项目类别:
    Research Grants

相似国自然基金

基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
  • 批准号:
    61672236
  • 批准年份:
    2016
  • 资助金额:
    64.0 万元
  • 项目类别:
    面上项目

相似海外基金

Imaging for Multi-scale Multi-modal and Multi-disciplinary Analysis for EnGineering and Environmental Sustainability (IM3AGES)
工程和环境可持续性多尺度、多模式和多学科分析成像 (IM3AGES)
  • 批准号:
    EP/Z531133/1
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Research Grant
Flexible fMRI-Compatible Neural Probes with Organic Semiconductor based Multi-modal Sensors for Closed Loop Neuromodulation
灵活的 fMRI 兼容神经探针,带有基于有机半导体的多模态传感器,用于闭环神经调节
  • 批准号:
    2336525
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: NCS-FR: Individual variability in auditory learning characterized using multi-scale and multi-modal physiology and neuromodulation
合作研究:NCS-FR:利用多尺度、多模式生理学和神经调节表征听觉学习的个体差异
  • 批准号:
    2409652
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
High speed multi modal in-situ Transmission Electron Microscopy platform
高速多模态原位透射电子显微镜平台
  • 批准号:
    LE240100060
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Linkage Infrastructure, Equipment and Facilities
MUSE: Multi-Modal Software Evolution
MUSE:多模式软件演进
  • 批准号:
    EP/W015927/2
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Research Grant
Multi-scale, multi-modal X-ray imaging using speckle
使用散斑的多尺度、多模态 X 射线成像
  • 批准号:
    DE220101402
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Discovery Early Career Researcher Award
Multi-modal electron microscopy of 3D racetrack memory
3D 赛道记忆的多模态电子显微镜
  • 批准号:
    EP/X025632/1
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Research Grant
NSF-SNSF: Rapid Beamforming for Massive MIMO using Machine Learning on RF-only and Multi-modal Sensor Data
NSF-SNSF:在纯射频和多模态传感器数据上使用机器学习实现大规模 MIMO 的快速波束成形
  • 批准号:
    2401047
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
FDG-PET in combination with proton (1H) and sodium (23Na) MRI: a di-modal metabolic imaging approach
FDG-PET 结合质子 (1H) 和钠 (23Na) MRI:双模态代谢成像方法
  • 批准号:
    24K15805
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Multi-modal non-invasive biomarker screening for high-risk undiagnosed liver disease
针对高危未确诊肝病的多模式非侵入性生物标志物筛查
  • 批准号:
    10073169
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Collaborative R&D
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了