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Adaptive high-fidelity computational fluid dynamics

Adaptive high-fidelity computational fluid dynamics
自适应高保真计算流体动力学
批准号:
RGPIN-2017-06740
负责人:
Yano, Masayuki
金额:
$2.19万
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:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
翻译
随着计算硬件和算法的快速和持续发展,基于模拟的分析已经成为工程实践中不可或缺的工具。在航天工程中,设计和分析复杂的航天系统的需要导致了偏微分方程组(PDE)的新的数值方法的发展,其应用包括空气动力学。模拟能力的持续进步对于设计更高效、更安全、更可持续和更经济的下一代工程系统至关重要。
英文摘要
With rapid and sustained advances in computing hardware and algorithms, simulation-based analysis has become an indispensable tool in engineering practice. In aerospace engineering, the need to design and analyze complex aerospace systems has resulted in the development of novel numerical methods for partial differential equations (PDEs) with applications including aerodynamics. Continued advances in simulation capabilities are crucial to design next-generation engineering systems that are more efficient, safer, more sustainable, and more economical.
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Adaptive high-fidelity computational fluid dynamics
  • 批准号:
    RGPIN-2017-06740
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.37万
  • 财政年份:
    2022
  • 负责人:
    Yano, Masayuki
  • 依托单位:
Adaptive high-fidelity computational fluid dynamics
  • 批准号:
    RGPIN-2017-06740
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2021
  • 负责人:
    Yano, Masayuki
  • 依托单位:
Adaptive high-fidelity computational fluid dynamics
  • 批准号:
    RGPIN-2017-06740
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2020
  • 负责人:
    Yano, Masayuki
  • 依托单位:
Adaptive high-fidelity computational fluid dynamics
  • 批准号:
    RGPIN-2017-06740
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2019
  • 负责人:
    Yano, Masayuki
  • 依托单位:
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