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.**
该合作研究项目的主要目标是开发一个工业强度框架,用于先进空气动力系统的空气动力设计优化。该计划建立在 Nadarajah 教授领导的麦吉尔大学计算空气动力学小组与庞巴迪宇航公司 (BA) 先进空气动力学小组过去和现在成功的合作伙伴关系的基础上。这些合作伙伴开发了先进的数值技术,从流动求解器技术和分离涡模拟到空气动力学设计优化 (ADO) 数值环境。这里的目标是扩展数值框架来设计下一代两个先进的空气动力子系统:先进的小翼和高升力系统。研究目标将通过 BA 的两个数值工具的改进来实现;首先,FANSC-Adjoint,一种多块结构的二阶有限体积流和伴随求解器,用于粘性跨音速流的分析和设计;其次,DRAGON,一种新的混合非结构化-结构化二阶有限体积代码,用于模拟高升力配置上的流动。该提案中提出的任务将通过四个目标开发必要的新颖算法。学术研究团队将介绍对伴随方程的稳定技术、刚性优化问题的优化算法以及通过最优方法进行各向异性网格自适应的新颖贡献。研究生将通过与文学学士的合作获得实际的飞机设计经验。该研究的影响将使加拿大继续保持当前飞机技术的领先地位,并在航空航天业获得经济优势。 **
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
- 批准号:
RGPIN-2019-04791 - 财政年份:2021
- 资助金额:
$ 6.41万 - 项目类别:
Discovery Grants Program - Individual
An Analysis and Design Framework for Extensive Natural Laminar Flow of Aircraft Wings
飞机机翼大范围自然层流分析与设计框架
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538870-2019 - 财政年份:2021
- 资助金额:
$ 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
飞机机翼大范围自然层流分析与设计框架
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538870-2019 - 财政年份:2020
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$ 6.41万 - 项目类别:
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Aerodynamic and acoustic performance of a kinetic energy recovery system for engine test cells
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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:
$ 6.41万 - 项目类别:
Collaborative Research and Development Grants
Robust Aerodynamic Shape Optimization of Automotive Vehicles
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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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