Industrial strength aerodynamic design optimization for complex geometries
针对复杂几何形状的工业强度空气动力学设计优化
基本信息
- 批准号:491137-2015
- 负责人:
- 金额:$ 6.41万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 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
- 来源:
- 关键词:
项目摘要
The primary objective of this collaborative research project is to develop an industrial strength framework for the aerodynamic design optimization of Advanced Aerodynamic Systems. The initiative builds on past and current successful partnerships between the McGill University Computational Aerodynamics Group lead by Professor Nadarajah and the Advanced Aerodynamics Group at Bombardier Aerospace (BA). These partnerships have developed advanced numerical techniques from flow solver technology and detached eddy simulation to an aerodynamic design optimization (ADO) numerical environment. The objective here is to extend the numerical framework to design the next-generation of two advanced aerodynamic sub-systems: advanced winglet and high-lift systems. The research objectives will be met through the advancement of BA's two numerical tools; first, FANSC-Adjoint, a multi-block structured second-order finite-volume flow and adjoint solver for the analysis and design in viscous transonic flows; second, DRAGON, a new hybrid unstructured-structured second-order finite-volume code for simulating flows over high-lift configurations. The task presented in this proposal will develop the necessary novel algorithms through four objectives. The academic research team will introduce novel contributions towards stabilization techniques for the adjoint equations, optimization algorithms for stiff optimization problems, and anisotropic grid-adaptation through an optimal approach. Graduate students will gain practical aircraft design experience by working with BA. The impact of the research will enable Canada to remain a leader in current aircraft technology and to gain an economic advantage in the aerospace industry.**
该协作研究项目的主要目标是为高级空气动力学系统的空气动力学设计优化开发一个工业实力框架。该计划建立在麦吉尔大学计算空气动力学小组之间由纳达拉哈教授和庞巴迪航空航天(BA)高级空气动力集团领导的过去和当前成功伙伴关系的基础。这些合作伙伴关系开发了从流量求解器技术和独立的涡流模拟到空气动力设计优化(ADO)数值环境的高级数值技术。这里的目的是扩展数值框架,以设计两个高级空气动力学子系系统的下一代:高级翼和高速公路系统。通过BA的两个数值工具的发展,将实现研究目标;首先,Fansc-Adchoint是一种多块结构化的二阶有限体积流量和伴随求解器,用于粘性跨音速流中的分析和设计;其次,龙是一种新的混合无组织结构的二阶有限体积代码,用于模拟高速构型的流量。本提案中提出的任务将通过四个目标制定必要的新算法。学术研究团队将通过最佳方法为伴随方程式的稳定技术,针对僵硬优化问题的优化算法以及各向异性网格适应而引入新颖的贡献。研究生将通过与BA合作获得实用的飞机设计经验。这项研究的影响将使加拿大能够成为当前飞机技术的领导者,并在航空航天行业获得经济优势。**
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)
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Nadarajah, Sivakumaran其他文献
Nadarajah, Sivakumaran的其他文献
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{{ truncateString('Nadarajah, Sivakumaran', 18)}}的其他基金
Concurrent hpk-Mesh Adaptation and Shape Optimization of Complex Geometries through an Adjoint-Based Discontinuous Petrov-Galerkin Isogeometric Analysis
通过基于伴随的不连续 Petrov-Galerkin 等几何分析并行 hpk 网格自适应和复杂几何形状优化
- 批准号:
RGPIN-2019-04791 - 财政年份:2022
- 资助金额:
$ 6.41万 - 项目类别:
Discovery Grants Program - Individual
Concurrent hpk-Mesh Adaptation and Shape Optimization of Complex Geometries through an Adjoint-Based Discontinuous Petrov-Galerkin Isogeometric Analysis
通过基于伴随的不连续 Petrov-Galerkin 等几何分析并行 hpk 网格自适应和复杂几何形状优化
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$ 6.41万 - 项目类别:
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An Analysis and Design Framework for Extensive Natural Laminar Flow of Aircraft Wings
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538870-2019 - 财政年份:2021
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$ 6.41万 - 项目类别:
Collaborative Research and Development Grants
An Analysis and Design Framework for Extensive Natural Laminar Flow of Aircraft Wings
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- 资助金额:
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- 资助金额:
$ 6.41万 - 项目类别:
Collaborative Research and Development Grants
Concurrent hpk-Mesh Adaptation and Shape Optimization of Complex Geometries through an Adjoint-Based Discontinuous Petrov-Galerkin Isogeometric Analysis
通过基于伴随的不连续 Petrov-Galerkin 等几何分析并行 hpk 网格自适应和复杂几何形状优化
- 批准号:
RGPIN-2019-04791 - 财政年份:2020
- 资助金额:
$ 6.41万 - 项目类别:
Discovery Grants Program - Individual
Concurrent hpk-Mesh Adaptation and Shape Optimization of Complex Geometries through an Adjoint-Based Discontinuous Petrov-Galerkin Isogeometric Analysis
通过基于伴随的不连续 Petrov-Galerkin 等几何分析并行 hpk 网格自适应和复杂几何形状优化
- 批准号:
RGPIN-2019-04791 - 财政年份:2019
- 资助金额:
$ 6.41万 - 项目类别:
Discovery Grants Program - Individual
Aerodynamic and acoustic performance of a kinetic energy recovery system for engine test cells
发动机测试室动能回收系统的空气动力学和声学性能
- 批准号:
538826-2019 - 财政年份:2019
- 资助金额:
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538870-2019 - 财政年份:2019
- 资助金额:
$ 6.41万 - 项目类别:
Collaborative Research and Development Grants
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