High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization

用于大涡模拟和形状优化的高阶非结构化方法

基本信息

  • 批准号:
    RGPIN-2017-06773
  • 负责人:
  • 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:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

Motivated by environmental regulation and international competition, next-generation Canadian aircraft and jet engines must be significantly quieter and more fuel efficient to remain commercially viable. The design of such aircraft will rely heavily on disruptive computational fluid dynamics (CFD) technologies, specifically large eddy simulation (LES), to meet performance and pollution targets. The United States, European Union, and direct competitors to Canadian companies including Rolls Royce, Airbus, and BAE Systems, are currently investing in or adopting LES for aircraft and jet engine design with a projected 2020 timeline. However, this has not been met by similar investment in Canada, yielding a distinct competitive disadvantage. The long-term objective of this research program is to ensure Canadian industry remains competitive by developing novel technologies for LES that are more accurate, reliable, and less expensive. This will be achieved via three specific multi-year research objectives to improve accuracy, reduce cost, and increase the range of applicability of LES: 1) LES in the Vicinity of Complex Geometries, 2) LES using Next-Generation Computer Hardware, and 3) Aerodynamic Shape Optimization using LES. A final product from this research program will be an implementation of these novel technologies in a CFD package made available to Canadian industry partners, enabling the design of commercially viable next-generation aircraft and jet engines in Canada.
在环境法规和国际竞争的推动下,加拿大的下一代飞机和喷气发动机必须大幅降低噪音,提高燃油效率,才能保持商业可行性。这类飞机的设计将在很大程度上依赖破坏性计算流体动力学(CFD)技术,特别是大涡模拟(LES),以满足性能和污染目标。美国、欧盟和包括劳斯莱斯、空中客车和BAE系统在内的加拿大公司的直接竞争对手目前正在投资或采用LES飞机和喷气发动机设计,预计2020年。然而,加拿大的类似投资未能满足这一要求,从而产生了明显的竞争劣势。这项研究计划的长期目标是通过开发更准确、更可靠、更便宜的LES新技术来确保加拿大工业保持竞争力。这将通过三个具体的多年研究目标来实现,以提高精度,降低成本,并扩大LES的适用范围:1)在复杂几何区域附近的LES,2)使用下一代计算机硬件的LES,以及3)使用LES的气动形状优化。这项研究计划的最终产品将是在向加拿大行业合作伙伴提供的CFD包中实施这些新技术,使加拿大能够设计具有商业可行性的下一代飞机和喷气发动机。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Vermeire, Brian其他文献

Vermeire, Brian的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Vermeire, Brian', 18)}}的其他基金

High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    RGPIN-2017-06773
  • 财政年份:
    2021
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Industrialization of High-Order Unstructured Methods for Computational Fluid Dynamics
计算流体动力学高阶非结构化方法的产业化
  • 批准号:
    571551-2021
  • 财政年份:
    2021
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Alliance Grants
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    RGPIN-2017-06773
  • 财政年份:
    2020
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    507988-2017
  • 财政年份:
    2019
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    RGPIN-2017-06773
  • 财政年份:
    2019
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    507988-2017
  • 财政年份:
    2018
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    RGPIN-2017-06773
  • 财政年份:
    2018
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    RGPIN-2017-06773
  • 财政年份:
    2017
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    507988-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Experimental simulation of complete thunderstorm downburst events including the effects of storm translation and simultaneous events
完整雷暴下击暴流事件的实验模拟,包括风暴平移和同时事件的影响
  • 批准号:
    392591-2010
  • 财政年份:
    2012
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Postgraduate Scholarships - Doctoral

相似海外基金

Adaptively Tuned High-Order Unstructured Finite-Volume Methods for Turbulent Flows
湍流的自适应调整高阶非结构化有限体积方法
  • 批准号:
    EP/W037092/1
  • 财政年份:
    2022
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Research Grant
Industrialization of High-Order Unstructured Methods for Computational Fluid Dynamics
计算流体动力学高阶非结构化方法的产业化
  • 批准号:
    571551-2021
  • 财政年份:
    2022
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Alliance Grants
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    RGPIN-2017-06773
  • 财政年份:
    2021
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Industrialization of High-Order Unstructured Methods for Computational Fluid Dynamics
计算流体动力学高阶非结构化方法的产业化
  • 批准号:
    571551-2021
  • 财政年份:
    2021
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Alliance Grants
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    RGPIN-2017-06773
  • 财政年份:
    2020
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Optimal Polynomial-Mesh Adaptation for High Order Unstructured Methods
高阶非结构化方法的最优多项式网格自适应的开发
  • 批准号:
    544911-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Alexander Graham Bell Canada Graduate Scholarships - Master's
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    507988-2017
  • 财政年份:
    2019
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    RGPIN-2017-06773
  • 财政年份:
    2019
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
High-Order Unstructured Methods for Large Eddy Simulation and Shape Optimization
用于大涡模拟和形状优化的高阶非结构化方法
  • 批准号:
    507988-2017
  • 财政年份:
    2018
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
High-Order Unstructured Methods for Computational Fluid Dynamics
计算流体动力学的高阶非结构化方法
  • 批准号:
    528932-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Alexander Graham Bell Canada Graduate Scholarships - Master's
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了