Open Access
Volume 41, Number 2, April 2023
Page(s) 241 - 252
Published online 07 June 2023
  1. VASSBERG J, DEHAAN M, RIVERS M, et al. Development of a common research model for applied CFD validation studies[C]//26th AIAA Applied Aerodynamics Conference, Honolulu, Hawaii, 2008 [Google Scholar]
  2. KENWAY G K W, MARTINS J R R A. Multipoint aerodynamic shape optimization investigations of the common research model wing[J]. AIAA Journal, 2016, 54(1): 113–128 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  3. TAO J, SUN G, WANG X Y, et al. Robust optimization for a wing at drag divergence Mach number based on an improved PSO algorithm[J]. Aerospace Science and Technology, 2019, 92: 653–667 [Article] [CrossRef] [Google Scholar]
  4. CHEN Yingchun, ZHANG Meihong, ZHANG Miao, et al. Review of large civil aircraft aerodynamic design[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(1): 35–51 (in Chinese) [Google Scholar]
  5. HAN Zhonghua, ZHANG Yu, XU Chenzhou, et al. Aerodynamic shape optimization of large transport aircraft wings using surrogate-based approach[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(1): 155–170 (in Chinese) [Google Scholar]
  6. XUE Bangmeng, ZHANG Wensheng, SUN Xuewei, et al. Multi-objective wing shape optimization for a wide-body civil aircraft in wing-body-pylon-powered nacelle configuration[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(2): 63–73 (in Chinese) [Google Scholar]
  7. HUANG Jiangtao, GAO Zhenghong, YU Jing, et al. A typical integrated design method for aerodynamic shape optimization of large civil aircraft[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(2): 52–62 (in Chinese) [Google Scholar]
  8. LEI Ruiwu, BAI Junqiang, XU Danyang, et al. Speciality assessment of sequential and concurrent aerostructural optimization based on coupled adjoint technique[J]. Journal of Aerospace Power, 2019, 34(5): 1036–1049 [Article] (in Chinese) [Google Scholar]
  9. JAMESON A. Aerodynamic design via control theory[J]. Journal of Scientific Computing, 1988, 3(3): 233–260 [CrossRef] [Google Scholar]
  10. ALONSO J, LEGRESLEY P, VAN DER WEIDE E, et al. pyMDO: a framework for high-fidelity multi-disciplinary optimization[C]//10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, New York, 2004 [Google Scholar]
  11. MARTINS J R R A, ALONSO J J, REUTHER J J. High-fidelity aerostructural design optimization of a supersonic business jet[J]. Journal of Aircraft, 2004, 41(3): 523–530 [CrossRef] [Google Scholar]
  12. BAI Junqiang, LEI Ruiwu, YANG Tihao, et al. The recent progress of adjoint-based aerodynamic optimization design for large civil aircraft[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(1): 103–120 [Article] (in Chinese) [Google Scholar]
  13. MADER C A, KENWAY G K W, YILDIRIM A, et al. ADflow: an open-source computational fluid dynamics solver for aerodynamic and multidisciplinary optimization[J]. Journal of Aerospace Information Systems, 2020, 17(9): 508–527 [Google Scholar]
  14. KENNEDY G J K, MARTINS J R R A. A parallel finite-element framework for large-scale gradient-based design optimization of high-performance structures[J]. Finite Elements in Analysis & Design, 2014, 87: 56–73 [Google Scholar]
  15. LIU Yan, BAI Junqiang, HUA Jun, et al. A approach to CFD/CSD non-linear coupling based on RBF interpolation technology[J]. Chinese Journal of Computational Mechanics, 2014, 31(1): 120–127 (in Chinese) [Google Scholar]
  16. ZHANG Bing, HAN Jinglong. Spring-TFI hybrid dynamic mesh method with rotation correction[J]. Acta Aeronautica et Astronautica Sinica, 2011, 32(10): 1815–1823 [Article] (in Chinese) [Google Scholar]
  17. LAFLIN K R, BRODERSEN O, RAKOWITZ M, et al. Summary of data from the second AIAA CFD drag prediction workshop(Invited)[C]//42nd AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, 2004 [Google Scholar]
  18. KEYE S, RUDNIK R. Aero-elastic simulation of DLR's F6 transport aircraft configuration and comparison to experimental data[C]//47th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, Orlando, Florida, 2009 [Google Scholar]
  19. BURNER A, GOAD W, MASSEY E, et al. Wing deformation measurements of the DLR-F6 transport configuration in the national transonic facility(Invited)[C]//26th AIAA Applied Aerodynamics Conference, Honolulu, Hawaii, 2008 [Google Scholar]
  20. HE Xiaolong, BAI Junqiang, LI Li, et al. CYFFD parameterization method for cylindrical components of aircrafts[J]. Journal of Northwestern Polytechnical University, 2018, 36(6): 1027–1036 [Article] (in Chinese) [CrossRef] [EDP Sciences] [Google Scholar]
  21. KRAFT D. A software packange for sequential quadratic programming[R]. Technical Report DFVLR-FB 88-28, 1988 [Google Scholar]
  22. BOEING COMMERCIAL AIRPLANES. 787 airplane characteristics for airport planning[EB/OL]. (2018-03-01)[2021-09-15]. [Google Scholar]
  23. KENWAY G K W, KENNEDY G J K, MARTINS J R R A. A scalable parallel approach for high-fidelity aerostructural analysis and optimization[C]//53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, Hawaii, 2012 [Google Scholar]
  24. RASPANTI C G, BANDONI J A, BIEGLER L T. New strategies for flexibility analysis and design under uncertainty[J]. Computers & Chemical Engineering, 2000, 24(9/10): 2193–2209 [CrossRef] [Google Scholar]

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