Towards Aerodynamic Shape Optimization Using an Immersed Boundary Overset Grid Method

被引:0
|
作者
Lowe, Brandon M. [1 ]
Ashby, Chase P. [2 ]
Koch, James R. L. [3 ]
Penner, David A. Craig [1 ]
Housman, Jeffrey A. [2 ]
Duensing, Jared C. [3 ]
机构
[1] NASA, Sci & Technol Corp, Ames Res Ctr, MS N258-2, Moffett Field, CA 94035 USA
[2] NASA, Computat Aerosci Branch, Ames Res Ctr, NAS Div, Ms N258-2, Moffett Field, CA 94035 USA
[3] NASA, Computat Aerosci Branch, Sci & Technol Corp, MS N258-2, Moffett Field, CA 94035 USA
关键词
DUAL CONSISTENCY;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Traditional Reynolds-averaged Navier-Stokes grid methods applied to aerodynamic shape optimization can struggle with the deformation of surface and volume grids at component intersections, such as at wing-fuselage junctions. To overcome this, we propose an approach which utilizes curvilinear overset grids for the discretization of the domain, with the presence of the body modeled using an immersed boundary method. This approach handles complex geometries without the need for their explicit integration into the grid. The goal of this approach is to reduce grid generation time and allow for greater geometric freedom for component-based aerodynamic shape optimization. Two different methods are presented: a source-term-based and a ghost-node-based immersed boundary method. Flow analyses and adjoint solutions obtained using the proposed methods show promising comparisons with standard body-fitted grid methods. Preliminary aerodynamic shape optimization results obtained using one of the immersed boundary methods are also presented.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] Aerodynamic shape optimization on overset grids using the adjoint method
    Liao, Wei
    Tsai, Her Mann
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2010, 62 (12) : 1332 - 1356
  • [2] A parallel dynamic overset grid framework for immersed boundary methods
    Hedayat, Mohammadali
    Akbarzadeh, Amir M.
    Borazjani, Iman
    COMPUTERS & FLUIDS, 2022, 239
  • [3] Investigation of cluster bomb projection aerodynamic problem using overset grid method
    Zhang, Hairui
    Yuan, Wu
    Fan, Jingjing
    Zhang, Weihua
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2014, 36 (05): : 15 - 20
  • [4] Treatment of solid objects in the Pencil Code using an immersed boundary method and overset grids
    Aarnes, Jorgen R.
    Jin, Tai
    Mao, Chaoli
    Haugen, Nils E. L.
    Luo, Kun
    Andersson, Helge I.
    GEOPHYSICAL AND ASTROPHYSICAL FLUID DYNAMICS, 2020, 114 (1-2): : 35 - 57
  • [5] Aerodynamic Performance of a Small Vertical Axis Wind Turbine Using an Overset Grid Method
    Bangga, Galih
    Solichin, Mochammad
    Daman, Aida
    Sa'adiyah, Devy
    Dessoky, Amgad
    Lutz, Thorsten
    INTERNATIONAL CONFERENCE ON MATHEMATICS: PURE, APPLIED AND COMPUTATION: EMPOWERING ENGINEERING USING MATHEMATICS, 2017, 1867
  • [6] Aerodynamic optimization with large shape and topology changes using a differentiable embedded boundary method
    Ho, Jonathan
    Farhat, Charbel
    JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 488
  • [7] Numerical analysis of aerodynamic interference between two circular cylinders using the overset grid method
    Ishimatsu, Takuto
    Morishita, Etsuo
    Okunuk, Takeo
    Koyama, Hisao
    Transactions of the Japan Society for Aeronautical and Space Sciences, 2008, 51 (173): : 139 - 145
  • [8] Immersed boundary and overset grid methods assessed for Stokes flow due to an oscillating sphere
    Vreman, A. W.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 423 (423)
  • [9] Numerical Analysis of Aerodynamic Interference between Two Circular Cylinders Using the Overset Grid Method
    Ishimatsu, Takuto
    Morishita, Etsuo
    Okunuki, Takeo
    Koyama, Hisao
    TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, 2008, 51 (173) : 139 - 145
  • [10] Component-Based Geometry Manipulation for Aerodynamic Shape Optimization with Overset Meshes
    Secco, Ney R.
    Jasa, John P.
    Kenway, Gaetan K. W.
    Martins, Joaquim R. R. A.
    AIAA JOURNAL, 2018, 56 (09) : 3667 - 3679