Open Access
Volume 38, Number 3, June 2020
Page(s) 558 - 570
Published online 06 August 2020
  1. Gariepy M, Malouin B, Trepanier J Y, et al. Far-Field Drag Decomposition Method Applied to the DPW-5 Test Case Results[C]//AIAA Applied Aerodynamics Conference, 2006 [Google Scholar]
  2. Toubin H, Bailly D. Development and Application of a New Unsteady Far-Field Drag Decomposition Method[J]. AIAA Journal, 2015, 53(11): 77-82 [Article] [CrossRef] [Google Scholar]
  3. Hue D, Esquieu S. Computational Drag Prediction of the DPW4 Configuration Using the Far-Field Approach[J]. Journal of Aircraft, 2012, 48(5): 1658-1670 [Article] [CrossRef] [Google Scholar]
  4. Paparone L, Tognaccini R. Computational Fluid Dynamics-Based Drag Prediction and Decomposition[J]. AIAA Journal, 2003, 41(9): 1647-1657 [Article] [CrossRef] [Google Scholar]
  5. Betz A. A Method for the Direct Determination of Wing-Section Drag[J]. Technical Report Archive & Image Library, 1925: 42-44 [Article] [Google Scholar]
  6. Von Kármán T, Burgers J M. General Aerodynamic Theory-Perfect Fluids[J]. Aerodynamic Theory, 1936, 16:61 [Article] [Google Scholar]
  7. Van Der Vooren J, Slooff J W. CFD-based Drag Prediction:State-of-the-Art, Theory, Prospects[J]. Lecture Notes of AIAA Professional Studies Series, 1990:23-24 [Google Scholar]
  8. Destarac D, Vooren J V D. Drag/Thrust Analysis of Jet-Propelled Transonic Transport Aircraft, Definition of Physical Drag Components[J]. Aerospace Science & Technology, 2004, 8(6): 545-556 [Article] [CrossRef] [Google Scholar]
  9. Destarac D. Far-Field/Near-Field Drag Balance and Applications of Drag Extraction in CFD[C]//CFD-Based Aircraft Drag Prediction and Reduction, Belgium, 2003 [Google Scholar]
  10. Gariepy M, Trepanier J Y, Malouin B. Generalization of the Far-Field Drag Decomposition Method to Unsteady Flows[J]. AIAA Journal, 2013, 51(6): 1309-1319 [Article] [CrossRef] [Google Scholar]
  11. Gariépy M, Trépanier J Y, Masson C. Convergence Criterion for a Far-Field Drag Prediction and Decomposition Method[J]. AIAA Journal, 2015, 49(12): 2814-2817 [Article] [CrossRef] [Google Scholar]
  12. Marongiu C, Tognaccini R, Ueno M. Lift and Lift-Induced Drag Computation by Lamb Vector Integration[J]. AIAA Journal, 2013, 51(6): 1420-1430 [Article] [CrossRef] [Google Scholar]
  13. Snyder T, Povitsky A. Far-Field Induced Drag Prediction Using Vorticity Confinement Technique[J]. Journal of Aircraft, 2014, 51(6): 1953-1958 [Article] [CrossRef] [Google Scholar]
  14. Chen Zhenli, Zhang Benqan. Drag Prediction Method Investigation Basing on the Wake Integral[J]. Acta Aerodynamica Sinica, 2009, 27(3): 329-334 [Article] (in Chinese) [Google Scholar]
  15. Liu Jie, Zhu Zhiqiang, Chen Zemin, et al. Wake Integration Method for Aerodynamics Evaluation Using Euler Equations[J]. Acta Aeronautica et Astronautica Sinica, 2005, 26(4): 417-421 [Article] (in Chinese) [Google Scholar]
  16. Li Jei, Zhou Zhou. A Numerical Method Research on Wing Body Configurations[J]. Chinese Quarterly of Mechanics, 2008, 29(3): 365-370 [Article] (in Chinese) [Google Scholar]
  17. Ueno M, Yamamoto K, Tanaka K, et al. Far-Field Drag Analysis of NASA Common Research Model Simulation[C]//AIAA Computational Fluid Dynamics Conference, 2013 [Google Scholar]
  18. Chen Song. Gradient Based Aerodynamic Shape Optimization Design and Applications[D]. Xi'an: Northwestern Polytechnical University, 2016 [Google Scholar]
  19. Li Li, Bai Junqiang, Guo Tongbiao, et al. Aerodynamic Optimization Design for Civil Aircraft Considering Relaxed Static Stability[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(9): 121112 [Article] (in Chinese) [Google Scholar]
  20. Li Li, Bai Junqiang, Guo Tongbiao, et al. Aerodynamic Optimization Design of the Supersonic Aircraft Based on Discrete Adjoint Method[J]. Journal of Northwestern Polytechnical University, 2017, 35(5): 843-849 [Article] (in Chinese) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.