This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Vehicle Aerodynamic Optimization: On a Combination of Adjoint Method and Efficient Global Optimization Algorithm

Journal Article
06-12-02-0011
ISSN: 1946-3995, e-ISSN: 1946-4002
Published April 26, 2019 by SAE International in United States
Vehicle Aerodynamic Optimization: On a Combination of Adjoint Method and Efficient Global Optimization Algorithm
Sector:
Citation: Zhang, Y., Li, J., Xu, C., and Zhu, Z., "Vehicle Aerodynamic Optimization: On a Combination of Adjoint Method and Efficient Global Optimization Algorithm," SAE Int. J. Passeng. Cars - Mech. Syst. 12(2):139-153, 2019, https://doi.org/10.4271/06-12-02-0011.
Language: English

References

  1. Widhalm , M. , Ronzheimer , A. , and Hepperle , M. Comparison between Gradient-free and Adjoint Based Aerodynamic Optimization of a Flying Wing Transport Aircraft in the Preliminary Design 25th AIAA Applied Aerodynamics Conference 2007 10.2514/6.2007-4060
  2. Keye , S. , Klimmek , T. , Abu-Zurayk , M. , Schulze , M. et al. Aero-Structural Optimization of the NASA Common Research Model 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2017 10.2514/6.2017-4145
  3. Jameson , A. 2003
  4. Giles , M.B. and Pierce , N.A. An Introduction to the Adjoint Approach to Design Flow, Turbulence and Combustion 65 3-4 393 415 2000 10.1023/A:1011430410075
  5. Francesconi lng , G. , Miretti , L. , Lorefice , L. , Pitillo lng , F. et al. Application of Adjoint Methods on Drag Reduction of Current Production Cars SAE Technical Paper 2018-37-0016 2018 10.4271/2018-37-0016
  6. Blacha , T. and Islam , M. The Aerodynamic Development of the New Audi Q5 SAE Int. J. Passeng. Cars - Mech. Syst. 10 2 638 648 2017 10.4271/2017-01-1522
  7. Han , T. , Kaushik , S. , Karbon , K. , Leroy , B. et al. Adjoint-Driven Aerodynamic Shape Optimization Based on a Combination of Steady State and Transient Flow Solutions SAE Int. J. Passeng. Cars - Mech. Syst. 9 2 695 709 2016 10.4271/2016-01-1599
  8. Papadimitriou , D.I. and Giannakoglou , K.C. Aerodynamic Shape Optimization Using First and Second Order Adjoint and Direct Approaches Archives of Computational Methods in Engineering 15 4 447 488 2008 10.1007/s11831-008-9025-y
  9. Papoutsis-Kiachagias , E.M. , Porziani , S. , Groth , C. , Biancolini , M.E. et al. Aerodynamic Optimization of Car Shapes Using the Continuous Adjoint Method and an RBF Morpher Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences 2019 173 187 10.1007/978-3-319-89988-6_11
  10. Giles , M.B. , Duta , M.C. , M-uacute, ller , J.-D. et al. Algorithm Developments for Discrete Adjoint Methods AIAA Journal 41 2 198 205 2003 10.2514/2.1961
  11. Iuliano , E. and Quagliarella , D. Application of Surrogate-Based Optimization Techniques to Aerodynamic Design Cases Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences 2019 65 93 10.1007/978-3-319-89988-6_5
  12. Skinner , S.N. and Zare-Behtash , H. State-of-the-Art in Aerodynamic Shape Optimisation Methods Applied Soft Computing 62 933 962 2018 10.1016/j.asoc.2017.09.030
  13. Yondo , R. , Bobrowski , K. , Andrés , E. , and Valero , E. A Review of Surrogate Modeling Techniques for Aerodynamic Analysis and Optimization: Current Limitations and Future Challenges in Industry Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences 2019 19 33 10.1007/978-3-319-89988-6_2
  14. Song , K. , Choo , K.H. , and Mavris , D. A Spline-Based Modeling Algorithm for Application to Aerodynamic Shape Optimization Based on CFD Analysis SAE Int. J. Passeng. Cars - Mech. Syst. 10 2 541 552 2017 10.4271/2017-01-1510
  15. Shinkyu , J. and Obayashi , S. Efficient Global Optimization (EGO) for Multi-Objective Problem and Data Mining 2005 IEEE Congress on Evolutionary Computation 2005 10.1109/cec.2005.1554959
  16. Bae , H. , Park , S. , and Kwon , J. Efficient Global Optimization for S-Duct Diffuser Shape Design Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 227 9 1516 1532 2013 10.1177/0954410012457891
  17. Cinquegrana , D. and Iuliano , E. Efficient Global Optimization Method for Multipoint Airfoil Design Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences 2019 95 114 10.1007/978-3-319-89988-6_6
  18. Jones , D. , Schonlau , M. , and Welch , W. Efficient Global Optimization of Expensive Black-Box Functions Journal of Global Optimization 13 455 492 1998 10.1023/A:1008306431147
  19. Kleijnen , J.P.C. , van Beers W. and van Nieuwenhuyse I. Expected Improvement in Efficient Global Optimization through Bootstrapped Kriging Journal of Global Optimization 54 1 59 73 2011 10.1007/s10898-011-9741-y
  20. Zhan , D. , Cheng , Y. , and Liu , J. Expected Improvement Matrix-Based Infill Criteria for Expensive Multiobjective Optimization IEEE Transactions on Evolutionary Computation 21 6 956 975 2017 10.1109/tevc.2017.2697503
  21. Ando , K. , Takamura , A. , and Saito , I. Automotive Aerodynamic Design Exploration Employing New Optimization Methodology Based on CFD SAE Int. J. Passeng. Cars - Mech. Syst. 3 1 398 406 2010 10.4271/2010-01-0513
  22. Yondo , R. , Andrés , E. , and Valero , E. A Review on Design of Experiments and Surrogate Models in Aircraft Real-Time and Many-query Aerodynamic Analyses Progress in Aerospace Sciences 96 23 61 2018 10.1016/j.paerosci.2017.11.003
  23. Fang , K.T. The Uniform Design: Application of Number-Theoretic Methods in Experimental Design Acta Math. Appl. Sinica 3 363 372 1980
  24. Kumar , A. , Singh , A. , Dhankhar , D.S. , and Regin , F. Aerodynamic Development of Maruti Suzuki Vitara Brezza using CFD Simulations SAE Technical Paper 2017-26-0268 2017 10.4271/2017-26-0268
  25. Guidelines for Aerodynamic Assessment of Medium and Heavy Commercial Ground Vehicles Using Computational Fluid Dynamics SAE Standard J2966 2017 10.4271/J2966_201704
  26. Evans , S. and Lardeau , S. Validation of a Turbulence Methodology Using the SST k-ω Model for Adjoint Calculation 54th AIAA Aerospace Sciences Meeting 2016 10.2514/6.2016-0585
  27. Gorre , P. , Prasad , P. , Kumbhar , M. , Kale , G. et al. Underbody Drag Reduction Study for Electric Car Using CFD Simulations SAE Technical Paper 2015-26-0211 2015 10.4271/2015-26-0211

Cited By