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Improvements to Unstructured Mesh Finite Volume Methods for CFD: Novel Adaptive Techniques and Improved Robustness

Improvements to Unstructured Mesh Finite Volume Methods for CFD: Novel Adaptive Techniques and Improved Robustness
CFD 非结构化网格有限体积方法的改进:新颖的自适应技术和改进的鲁棒性
批准号:
487154-2015
负责人:
OllivierGooch, Carl
金额:
$3.81万
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31

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中文摘要
翻译
随着计算机能力的增长,使用计算流体动力学(CFD)模拟的问题的复杂性也迅速增长。还更加强调量化模拟结果的准确性。用于该任务的现有技术通常具有过大的计算资源需求。
英文摘要
As computer power has grown, the complexity of problems simulated using computational fluid dynamics (CFD) has grown apace. Greater emphasis is also being placed on quantifying the accuracy of simulation results. Existing techniques for this task often have prohibitively large computational resource requirements.
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Accurate, Robust Simulations of Aerodynamics Flows, Especially Wakes and Shocks
  • 批准号:
    RGPIN-2020-04503
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2022
  • 负责人:
    OllivierGooch, Carl
  • 依托单位:
Improving Finite Volume Methods for Industrial CFD: Adaptation, Error Quantification, and Robust Convergence
  • 批准号:
    537052-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $5.68万
  • 财政年份:
    2021
  • 负责人:
    OllivierGooch, Carl
  • 依托单位:
Accurate, Robust Simulations of Aerodynamics Flows, Especially Wakes and Shocks
  • 批准号:
    RGPIN-2020-04503
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2021
  • 负责人:
    OllivierGooch, Carl
  • 依托单位:
Improving Finite Volume Methods for Industrial CFD: Adaptation, Error Quantification, and Robust Convergence
  • 批准号:
    537052-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $5.08万
  • 财政年份:
    2020
  • 负责人:
    OllivierGooch, Carl
  • 依托单位:
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