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Computational Aerodynamics for Aircraft Drag Reduction

Computational Aerodynamics for Aircraft Drag Reduction
飞机减阻的计算空气动力学
批准号:
RGPIN-2017-06760
负责人:
Zingg, David
金额:
$4.81万
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:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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英文摘要
Motivated by the need to reduce the drag of transport aircraft and as a result their CO2 emissions, the proposed research program comprises algorithm development for computational fluid dynamics, algorithm development for aerodynamic shape optimization, and application to drag reduction via unconventional aircraft configurations and active flow control. *** The algorithm development for computational fluid dynamics is concentrated on promising higher-order operators having the generalized summation-by-parts property. This includes further development of tensor-product operators as well as novel multidimensional operators applicable to unstructured grids recently introduced by the applicant's group. These operators have similar properties to discontinuous Galerkin methods, but, as they do not rely on an explicit basis, they offer flexibility that hopefully can be exploited to improve efficiency on modern computer architectures.*** The algorithm development for aerodynamic shape optimization concentrates on two areas. The first involves adaptive geometry control based on free-form deformation that enables the optimization algorithm to modify the design space in search of the optimal geometry. Since this enables the optimization to go in directions not anticipated by the designer, it opens up the possibility of discovering novel aerodynamic concepts through optimization. The research will also include the development of a reliable and efficient methodology for incorporating prediction of laminar-turbulent transition within the optimization framework, thus enabling the development of aircraft configurations exploiting significant regions of natural laminar flow.*** The unconventional aircraft configurations under study include a variation of the blended wing-body developed in the applicant's group known as the lifting fuselage configuration, as well as the strut-braced wing and box-wing configurations. Emphasis will be on regional and single-aisle class aircraft, the former due to its relevance to Canada, the latter because it is the dominant class of aircraft globally. The three configurations will be optimized through aerodynamic shape optimization coupled with medium fidelity structural models and including trim and static margin constraints. A baseline conventional configuration will be optimized in an identical manner in order to provide a reference. The goal is to further advance these configurations and to identify which of the three is most promising for the regional and single aisle classes. *** Finally, the high-order methods will be utilized in direct and large-eddy simulations of turbulent flows applied to the development of active flow control techniques for drag reduction. In particular, the focus will be on synthetic jet actuation to control large structures in the outer layer of the turbulent boundary layer.
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Computational Aerodynamics for Aircraft Drag Reduction
  • 批准号:
    RGPIN-2017-06760
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $9.62万
  • 财政年份:
    2021
  • 负责人:
    Zingg, David
  • 依托单位:
Computational Aerodynamics for Aircraft Drag Reduction
  • 批准号:
    RGPIN-2017-06760
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.81万
  • 财政年份:
    2020
  • 负责人:
    Zingg, David
  • 依托单位:
High-fidelity aerodynamic and aerostructural optimization with application to variable camber wings
  • 批准号:
    495849-2016
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $9.96万
  • 财政年份:
    2019
  • 负责人:
    Zingg, David
  • 依托单位:
Computational Aerodynamics for Aircraft Drag Reduction
  • 批准号:
    RGPIN-2017-06760
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.81万
  • 财政年份:
    2019
  • 负责人:
    Zingg, David
  • 依托单位:
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