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Multiscale Interactions in Turbulent Flows: Experiments and Simulation

Multiscale Interactions in Turbulent Flows: Experiments and Simulation
湍流中的多尺度相互作用:实验和模拟
批准号:
0553314
负责人:
Charles Meneveau
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-07-15 至 2010-06-30

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英文摘要
PROPOSAL NO.: CTS-0553314PRINCIPAL INVESTIGATOR: C. MENEVEAUINSTITUTION: JOHNS HOPKINS UNIVERSITY MULTISCALE INTERACTIONS IN TURBULENT FLOWS: EXPERIMENTS & SIMULATIONSThis research will address several critical aspects in understanding and numerical modeling of turbulent flows interacting with multiscale boundary conditions. Specifically, a new database of turbulent flow through fractal bluff bodies and grids will be generated using thermal and particle image velocimetry in a wind tunnel. Fractal objects display large scale-disparity and complexity while being amenable to simple and standardized description. Hence, they offer an elegant idealization of the actual interactions between turbulence and boundaries in practical applications where boundaries are characterized by multiple length-scales. The data will include flow measurements characterizing the turbulence as well as measurements of the drag forces acting on the fractal objects. A salient motivation for the proposed work is the need to validate and support further improvements of a new prediction tool, called Renormalized Numerical Simulation (RNS). This technique models forces on unresolved features using drag coefficients determined dynamically from the large scales. RNS will be applied to model flow across fractal bluff body arrays and grids, and predicted forces and flow features will be compared with the measurements. Another objective is to use the data to study scale interactions using spatial filtering and appropriate statistical techniques. Turbulence research and simulation are part of a larger push to understand and predict systems with multiscale complex behavior and many degrees of freedom. Large-scale numerical simulation of such systems is, today, at center stage of scientific discussions with important societal and political ramifications (global change, energy, etc.). Also, the development of properly validated RNS methodology applied to flows with fractal boundaries may yield broader impacts. Fractals have been used as a descriptive tool in many disciplines such as biology (branching blood network, pulmonary structures, corals), astrophysics (large-scale structure of the universe, intermittency of interplanetary magnetic fields), geosciences (fractal coastlines, vegetation, clouds). RNS extends the geometric idea of fractals to the dynamics. Educational impact of the proposed work will focus on graduate education and training that stresses the interplay between physical experimentation and simulation. Educational Outreach will take place in collaboration with the Engineering Schools Center for Educational Outreach (CEO). In the summer of 2006 and 2007, a high-school teacher will be invited to work on a project dealing with flow visualization of turbulent wakes behind fractal grids.
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Research Infrastructure: CC* Data Storage: 20 Petabyte Campus Research Storage Facility at Johns Hopkins University
  • 批准号:
    2322201
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2023
  • 负责人:
    Charles Meneveau
  • 依托单位:
Frameworks: Advanced Cyberinfrastructure for Sustainable Community Usage of Big Data from Numerical Fluid Dynamics Simulations
  • 批准号:
    2103874
  • 项目类别:
    Standard Grant
  • 资助金额:
    $399.21万
  • 财政年份:
    2021
  • 负责人:
    Charles Meneveau
  • 依托单位:
Dynamics of macro-vortices in horizontal axis turbine wind farms
  • 批准号:
    1949778
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.97万
  • 财政年份:
    2020
  • 负责人:
    Charles Meneveau
  • 依托单位:
Collaborative Research: NISC SI2-S2I2 Conceptualization of CFDSI: Model, Data, and Analysis Integration for End-to-End Support of Fluid Dynamics Discovery and Innovation
  • 批准号:
    1743179
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $2.28万
  • 财政年份:
    2018
  • 负责人:
    Charles Meneveau
  • 依托单位:
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