课题基金 / 基金详情

Development of an Asymptotically-Reduced, Multiscale Model of Turbulent Boundary Layer Dynamics at Extreme Reynolds Numbers

Development of an Asymptotically-Reduced, Multiscale Model of Turbulent Boundary Layer Dynamics at Extreme Reynolds Numbers
极限雷诺数下湍流边界层动力学的渐近简化多尺度模型的开发
批准号:
1437851
负责人:
Gregory Chini
金额:
$41.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-07-15 至 2019-06-30

项目摘要

项目成果

Gregory Chini的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
1437851Chini, Gregory The goal of the proposed study is to use a combination of theory and unique experiments to develop a new approach to modeling turbulent flows in the boundary layer. The capacity to understand, predict, and control turbulent boundary layer dynamics is important for a multitude of technological applications and scientifically important processes. Turbulence is prevalent in the world we live in and in the industry. Success in this research could impact any industrial process that involves turbulent flow, with consequent societal benefits in the form of new products, improved energy efficiency, quieter systems, etc. Problems related to geophysical and astrophysical flows could also be approached in a new, more accurate way. The educational plan involves the participation of both graduate and undergraduate students.The main goal of the proposed research is to develop a multiscale Partial Differential Equation (PDE) model of turbulent boundary layer dynamics through the integrated useof high Reynolds number (Re) asymptotics and well-resolved high-Re experiments. By its very nature, the model development process will elucidate the so-called "inner/outer" interaction, as these are linked to boundary layer evolution as Re tends to infinity. In addition, numerical solutions of the multiscale PDEs promise to be less costly than direct numerical simulations (DNS) of the primitive Navier?Stokes (NS) equations from which they are derived, thereby enabling simulations in otherwise inaccessible parameter regimes. The proposed model will be distinct from other recent efforts, because the model retains a first principles foundation, with no reliance on system inputs or phenomenological assumptions. The multiscale analysis on which the model is based brings together recent advances in the asymptotic analysis of turbulent geophysical flows, of "exact coherent structures" in high-Re shear flows, and of the mean dynamics in canonical turbulent wall-flows. The target model is a closed multiscale PDE system that is self-consistently and systematically simplified relative to the primitive NS equations. This critical scaling information is only accessible through well-resolved, high-Re experiments. In this regard, the Univ. of New Hampshire Flow Physics Facility (FPF), which is the world's largest flow physics quality boundary layer wind tunnel, allows high-resolution measurements of velocity and vorticity at extreme Reynolds numbers.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1017/jfm.2018.769
发表时间: 2018-11
期刊: Journal of Fluid Mechanics
影响因子: 3.7
作者: [J. Bautista;A. Ebadi;C. White;G. Chini;J. Klewicki]
通讯作者: J. Bautista;A. Ebadi;C. White;G. Chini;J. Klewicki
CMG Collaborative Research: Multiscale Modeling of the Coupling between Langmuir Turbulence and Submesoscale Variability in the Oceanic Mixed Layer
  • 批准号:
    0934827
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.1万
  • 财政年份:
    2009
  • 负责人:
    Gregory Chini
  • 依托单位:
DynSyst_Special_Topics: Collaborative Research: Reduced Dynamical Descriptions of Infinite-Dimensional Nonlinear Systems via a-priori Basis Functions from Upper Bound Theories
  • 批准号:
    0928098
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.98万
  • 财政年份:
    2009
  • 负责人:
    Gregory Chini
  • 依托单位:
CAREER: Langmuir Circulation--Internal Wave Interactions
  • 批准号:
    0348981
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $47.16万
  • 财政年份:
    2004
  • 负责人:
    Gregory Chini
  • 依托单位:
海外基金