A hybrid subgrid model for large-eddy simulation of compressible wall-bounded flows

可压缩壁面流动大涡模拟的混合子网格模型

基本信息

  • 批准号:
    0933377
  • 负责人:
  • 金额:
    $ 14万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-09-01 至 2012-08-31
  • 项目状态:
    已结题

项目摘要

0933377 MaheshThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The PI plans to develop a novel hybrid wall-modeling strategy for large-eddy simulation (LES) of compressible wall-bounded flows, After formally developing the model, hybrid LES of attached compressible boundary layers will be performed. The model will be evaluated against both direct numerical simulation (DNS) and experiment. Unlike conventional hybrid approaches, the PI does not blend near-wall RANS (Reynolds-averaged Navier-Stokes) regions with LES regions away from the wall, Instead, he solves the LES equations down to the wall. He defines a new error that is a weighted sum of the Germano identity error (LES error) and an error that relates the time-average of the LES subgrid stresses to the Reynolds stresses (RANS error). This composite error is minimized to obtain the model coefficient. The weight in the composite error is defined such that it skews the error toward the RANS component in regions where the LES error is high (near walls). As a result, the model does not explicitly depend on distance from the wall. LES is rapidly progressing towards becoming the method of choice for a wide range of engineering flows. This work addresses a key limitation of LES that is hindering its acceptance -- inaccurate predictions of attached wall-bounded flows. It recognizes important limitations in the prevalent approach towards this problem, and plans to construct a hybrid model applicable to subgrid models beyond those considered in this work. This work will be performed by one PhD student and one undergraduate student. The PI will participate in outreach programs involving high school students from the twin cities area, and summer interns drawn from across the country. This work will form part of the PI's teaching material, and presentations and articles intended for a broad audience.
0933377 Mahesh该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。PI计划开发一种新的混合壁面建模策略,用于可压缩有壁流动的大涡模拟(LES)。在正式开发模型之后,将进行附着可压缩边界层的混合LES。该模型将根据直接数值模拟(DNS)和实验进行评估。与传统的混合方法不同,PI不混合近壁RANS(雷诺平均Navier-Stokes)区域与远离壁面的LES区域,而是向下求解LES方程。他定义了一个新的误差,它是Germano恒等误差(LES误差)和LES子网格应力的时间平均值与雷诺应力(RANS误差)之间的加权和。最小化该复合误差以获得模型系数。复合误差中的权重被定义为使得它在LES误差高的区域(靠近壁)中使误差偏向RANS分量。因此,模型不显式依赖于与墙的距离。大涡模拟正迅速发展成为各种工程流动的首选方法。这项工作解决了大涡模拟的一个关键限制,这是阻碍其接受-不准确的预测附壁有界的流动。它认识到对这个问题的流行方法的重要局限性,并计划构建一个混合模型适用于子网格模型超出这些考虑在这项工作中。这项工作将由一名博士生和一名本科生完成。PI将参加涉及双城地区高中生和来自全国各地的暑期实习生的外展计划。这项工作将成为PI教学材料的一部分,并为广大观众提供演讲和文章。

项目成果

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Krishnan Mahesh其他文献

Response of a plate in turbulent channel flow: Analysis of fluid–solid coupling
  • DOI:
    10.1016/j.jfluidstructs.2020.103173
  • 发表时间:
    2021-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sreevatsa Anantharamu;Krishnan Mahesh
  • 通讯作者:
    Krishnan Mahesh
A hardware accelerated unstructured overset method to simulate turbulent fluid flow
  • DOI:
    10.1016/j.jcp.2021.110574
  • 发表时间:
    2021-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Wyatt James Horne;Krishnan Mahesh
  • 通讯作者:
    Krishnan Mahesh

Krishnan Mahesh的其他文献

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{{ truncateString('Krishnan Mahesh', 18)}}的其他基金

APS Division of Fluid Dynamics/NSF Workshop for CAREER Eligible Faculty
APS 流体动力学部门/NSF 职业合格教师研讨会
  • 批准号:
    1004092
  • 财政年份:
    2010
  • 资助金额:
    $ 14万
  • 项目类别:
    Standard Grant
Direct Numerical and Large-eddy Simulation of Supersonic Transverse Jets Using a Novel Numerical Method
使用新型数值方法对超音速横向射流进行直接数值和大涡模拟
  • 批准号:
    0828162
  • 财政年份:
    2008
  • 资助金额:
    $ 14万
  • 项目类别:
    Standard Grant
CAREER: A Novel Approach for Large Eddy Simulation on Unstructured Grids Applied to Turbulent Jets in Cross-Flow
职业生涯:一种应用于横流湍流射流的非结构化网格大涡模拟新方法
  • 批准号:
    0133837
  • 财政年份:
    2002
  • 资助金额:
    $ 14万
  • 项目类别:
    Standard Grant

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