Aero-structural optimization of supersonic wing under thermal environment using adjoint-based optimization algorithm

被引:5
|
作者
Guo, Jingrui [1 ]
Li, Yi [2 ]
Xu, Min [1 ]
An, Xiaomin [1 ]
Li, Guangning [1 ]
机构
[1] Northwestern Polytech Univ, Sch Astronaut, Xian 710072, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R China
关键词
Aero-structural optimization; Adjoint approach; Thermal environment; Gradient-based optimization;
D O I
10.1007/s00158-021-02888-1
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
For solving the problems of jig-shape design and aerodynamic shape design at the same time, based on the aero-thermo-structural (ATS) analysis model, the paper presents a coupling optimization method, in which the adjoint equations of coupling system are developed. In order to demonstrate this methodology, a supersonic wing is optimized, and its objective function is the lift-to-drag ratio considering the elastic deformation of the wing structure induced by aerodynamic load and aerodynamic heating. And independent variables are the geometric twist angles of wing sections along the span, the thickness of skin, and the cross-sectional geometrical parameters of spar and stringer. The constraint is the strength of the wing structure. When the maximum allowable mass is 700 kg, the results show that the lift-to-drag ratio is increased from 6.0505 to 6.2875, and all constraints are satisfied. Therefore, the coupling optimization method is effective. And this method can control the increment of structural mass through the maximum mass constraint.
引用
收藏
页码:281 / 301
页数:21
相关论文
共 50 条
  • [31] Efficient aero-structural design optimization: Coupling based on reverse iteration of structural model
    ZUO Ying Tao
    GAO Zheng Hong
    CHEN Gang
    WANG Xiao Peng
    LI Yue Ming
    Science China(Technological Sciences), 2015, 58 (02) : 307 - 315
  • [32] Aero-structural optimization of shape memory alloy-based wing morphing via a class/shape transformation approach
    Leal, Pedro B. C.
    Savi, Marcelo A.
    Hartl, Darren J.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2018, 232 (15) : 2745 - 2759
  • [33] Aerodynamic Robust Design Research Using Adjoint-Based Optimization under Operating Uncertainties
    Ma, Yuhang
    Du, Jiecheng
    Yang, Tihao
    Shi, Yayun
    Wang, Libo
    Wang, Wei
    AEROSPACE, 2023, 10 (10)
  • [34] Aero-structural optimization and actuation analysis of a morphing wing section with embedded selectively stiff bistable elements
    Rivas-Padilla, Jose R.
    Boston, D. Matthew
    Boddapati, Karthik
    Arrieta, Andres F.
    JOURNAL OF COMPOSITE MATERIALS, 2023, 57 (04) : 737 - 757
  • [35] Control and Optimization of Interfacial Flows Using Adjoint-Based Techniques
    Fikl, Alexandru
    Le Chenadec, Vincent
    Sayadi, Taraneh
    FLUIDS, 2020, 5 (03)
  • [36] Adjoint-based optimization for Blended-Wing-Body Underwater Gliders' Shape Design
    Wu, Xumao
    Wang, Peng
    Li, Jian
    Sun, Siqing
    Ding, Yongle
    2018 OCEANS - MTS/IEEE KOBE TECHNO-OCEANS (OTO), 2018,
  • [37] Adjoint-Based Well-Placement Optimization Under Production Constraints
    Zandvliet, M. J.
    Handels, M.
    van Essen, G. M.
    Brouwer, D. R.
    Jansen, J. D.
    SPE JOURNAL, 2008, 13 (04): : 392 - 399
  • [38] A study on the optimization of the deployment of targeted observations using adjoint-based methods
    Bergot, T
    Doerenbecher, A
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2002, 128 (583) : 1689 - 1712
  • [39] Geometric design of electric motors using adjoint-based shape optimization
    Scotzniovsky, Luca
    Xiang, Ru
    Cheng, Zeyu
    Rodriguez, Gabriel
    Kamensky, David
    Mi, Chris
    Hwang, John T.
    OPTIMIZATION AND ENGINEERING, 2025, 26 (01) : 121 - 158
  • [40] Using adjoint-based optimization to study kinematics and deformation of flapping wings
    Xu, Min
    Wei, Mingjun
    JOURNAL OF FLUID MECHANICS, 2016, 799 : 56 - 99