Large-Eddy Simulation of Turbulent Scalar Transport Processes in Smooth and Rough Wall Boundary Layers

光滑和粗糙壁边界层中湍流标量输运过程的大涡模拟

基本信息

  • 批准号:
    357453-2013
  • 负责人:
  • 金额:
    $ 2.33万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2018
  • 资助国家:
    加拿大
  • 起止时间:
    2018-01-01 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

In mechanical, environmental and chemical engineering, turbulent transport of active and passive scalars in a boundary layer is a frequently encountered phenomenon, which has important applications for the engine industry, power plants, building environment, and prediction of air pollution in the atmospheric boundary layer. By their nature, turbulent convective flows driven by shear stresses, pressure gradients and scalar gradients are unsteady, and exhibit coherent flow structures that are highly interactive with the scalar transport processes. ** The proposed research aims at obtaining a deeper understanding of the interaction between dynamically evolving flow structures and scalar transport processes in both smooth and rough-wall boundary layers using the method of large-eddy simulation (LES), as well as development of new physics-based subgrid-scale scalar-flux models for improved LES of turbulent scalar transport in both low- and high-Reynolds number flows. In order to achieve these goals, both a priori and a posteriori LES methods will be employed for testing the model performance in contexts of smooth-wall boundary-layer flows and turbulent boundary-layer flows over obstacle arrays. The obtained LES results will be validated against direct numerical simulation (DNS) data and two sets of comprehensive water-channel and wind-tunnel experimental data.** It is anticipated that the proposed research will provide an excellent opportunity for the applicant and his team to conduct innovative research on development of a high-fidelity predictive tool that can be used by both academics and engineers for assessing active and passive scalar transport in different types of boundary-layer flows. It is also anticipated that the proposed research will provide an opportunity to train highly qualified personnel in areas related to computational fluid dynamics, turbulent heat and mass transfer, environmental dispersion, and high-performance scientific computing based on in-house codes and supercomputers.**
在机械、环境和化学工程中,边界层中主动和被动标量的湍流输运是经常遇到的现象,在发动机工业、电厂、建筑环境、大气边界层大气污染预测等方面都有重要的应用。从本质上讲,由剪应力、压力梯度和标量梯度驱动的湍流对流是不稳定的,并且表现出与标量输运过程高度相互作用的连贯流动结构。**本研究旨在利用大涡模拟(large-eddy simulation, LES)方法更深入地了解光滑和粗糙边界层中动态演变的流动结构与标量输运过程之间的相互作用,并开发新的基于物理的亚网格尺度标量通量模型,以改进低雷诺数和高雷诺数流动中湍流标量输运的LES。为了实现这些目标,将采用先验和后验的LES方法来测试模型在光滑壁面边界层流动和湍流边界层在障碍物阵列上流动的性能。将利用直接数值模拟(DNS)数据和两组综合水渠风洞实验数据对所得的LES结果进行验证。**预计拟议的研究将为申请人和他的团队提供一个极好的机会,进行高保真度预测工具的创新研究,该工具可以被学术界和工程师用于评估不同类型边界层流动中的主动和被动标量输运。此外,预计拟议的研究将为培养计算流体动力学、湍流传热传质、环境弥散和基于内部代码和超级计算机的高性能科学计算等领域的高素质人才提供机会

项目成果

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Wang, BingChen其他文献

Wang, BingChen的其他文献

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{{ truncateString('Wang, BingChen', 18)}}的其他基金

Study of Dual-Jet Interference and Scalar Mixing using Direct Numerical and Large-Eddy Simulations
使用直接数值和大涡模拟研究双射流干涉和标量混合
  • 批准号:
    RGPIN-2019-06735
  • 财政年份:
    2022
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Study of Dual-Jet Interference and Scalar Mixing using Direct Numerical and Large-Eddy Simulations
使用直接数值和大涡模拟研究双射流干涉和标量混合
  • 批准号:
    RGPIN-2019-06735
  • 财政年份:
    2021
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Study of Dual-Jet Interference and Scalar Mixing using Direct Numerical and Large-Eddy Simulations
使用直接数值和大涡模拟研究双射流干涉和标量混合
  • 批准号:
    RGPIN-2019-06735
  • 财政年份:
    2020
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Study of Dual-Jet Interference and Scalar Mixing using Direct Numerical and Large-Eddy Simulations
使用直接数值和大涡模拟研究双射流干涉和标量混合
  • 批准号:
    RGPIN-2019-06735
  • 财政年份:
    2019
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Large-Eddy Simulation of Turbulent Scalar Transport Processes in Smooth and Rough Wall Boundary Layers
光滑和粗糙壁边界层中湍流标量输运过程的大涡模拟
  • 批准号:
    357453-2013
  • 财政年份:
    2015
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Large-Eddy Simulation of Turbulent Scalar Transport Processes in Smooth and Rough Wall Boundary Layers
光滑和粗糙壁边界层中湍流标量输运过程的大涡模拟
  • 批准号:
    357453-2013
  • 财政年份:
    2014
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Large-Eddy Simulation of Turbulent Scalar Transport Processes in Smooth and Rough Wall Boundary Layers
光滑和粗糙壁边界层中湍流标量输运过程的大涡模拟
  • 批准号:
    357453-2013
  • 财政年份:
    2013
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Advance numerical simulation system for urban atmospheric hazard prediction and assessment
先进的城市大气灾害预测与评估数值模拟系统
  • 批准号:
    386895-2009
  • 财政年份:
    2012
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Collaborative Research and Development Grants
Novel subgrid-scale modelling for large-eddy simulation of turbulent flow and dispersion in urban environments
用于城市环境中湍流和扩散的大涡模拟的新型亚网格尺度建模
  • 批准号:
    357453-2008
  • 财政年份:
    2012
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Novel subgrid-scale modelling for large-eddy simulation of turbulent flow and dispersion in urban environments
用于城市环境中湍流和扩散的大涡模拟的新型亚网格尺度建模
  • 批准号:
    357453-2008
  • 财政年份:
    2011
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual

相似海外基金

EAGER: Liutex-based Sub-Grid Model for Large Eddy Simulation of Turbulent Flow
EAGER:基于 Liutex 的湍流大涡模拟子网格模型
  • 批准号:
    2422573
  • 财政年份:
    2024
  • 资助金额:
    $ 2.33万
  • 项目类别:
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CBET-EPSRC: Deep Learning Closure Models for Large-Eddy Simulation of Unsteady Aerodynamics
CBET-EPSRC:用于非定常空气动力学大涡模拟的深度学习收敛模型
  • 批准号:
    EP/X031640/1
  • 财政年份:
    2023
  • 资助金额:
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Building-Block-Flow Model for Large-Eddy Simulation
用于大涡模拟的积木流模型
  • 批准号:
    2317254
  • 财政年份:
    2023
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Standard Grant
Large Eddy Simulation in Complex Turbulent Flows with Coarse Resolution
复杂湍流中的粗分辨率大涡模拟
  • 批准号:
    2321473
  • 财政年份:
    2023
  • 资助金额:
    $ 2.33万
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CBET-EPSRC: Deep Learning Closure Models for Large-Eddy Simulation of Unsteady Aerodynamics
CBET-EPSRC:用于非定常空气动力学大涡模拟的深度学习收敛模型
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EAGER:物理空间标量结构和未解决的混合的实验研究,以改进湍流燃烧的大涡模拟
  • 批准号:
    2208136
  • 财政年份:
    2022
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    $ 2.33万
  • 项目类别:
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CAREER: Understanding Low-cloud Feedbacks Using Large-eddy Simulation of Spatially Developing Cloud Transitions
职业:利用空间发展云转变的大涡模拟来理解低云反馈
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开发用于湍流研究的分层尺度自适应大涡模拟方法
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  • 财政年份:
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将大涡模拟应用于耗散粒子动力学建模,以更好地理解复杂的流动现象
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  • 财政年份:
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用于大涡模拟和形状优化的高阶非结构化方法
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