Multi-point, multi-mission, high-fidelity aerostructural optimization of a long-range aircraft configuration

12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Volumn , Issue , 2012, Pages

  Liem, Rhea P ^a   Kenway, Gaetan K W ^a   Martins, Joaquim R R A ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AVIATION; FLIGHT ENVELOPES; OPTIMIZATION;

AERO-STRUCTURAL OPTIMIZATION; AIRCRAFT CONFIGURATIONS; KRIGING SURROGATE MODEL; MINIMIZATION PROBLEMS; MULTI-DISCIPLINARY ANALYSIS; MULTIPLE OPERATING POINTS; NUMERICAL OPTIMIZATIONS; PERFORMANCE DEGRADATION;

AIRCRAFT;

EID: 85085400464     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2012-5706     Document Type: Conference Paper

References (64)

1. SciNet, University of Toronto's high performance computing facility: http://www. scinet. utoronto. ca.
2. M. Y. M. Ahmed and N. Qin. Surrogate-Based Aerodynamics Design Optimization: Use of Surrogates in Aerodynamics Design Optimization. In 13th International Conference on Aerospace Science & Aviation Technology, Cairo, Egypt, 26-28 May 2009.
3. D. Amsallem, J. Cortial, and C. Farhat. Toward Real-Time Computational-Fluid-Dynamics-Based Aeroelastic Computations Using a Database of Reduced-Order Information. AIAA Journal, 48(9): 2029-2037, September 2010.
4. W. K. Anderson and V. Venkatakrishnan. Aerodynamic design optimization on unstructured grids with a continuous adjoint formulation. Computers & Fluids, 28: 443-480, 1999.
5. V. Balabanov, M. Kaufman, D. K. Knill, O. Golovidov, A. A. Giunta, R. T. Haftka, B. Grossman, W. H. Mason, and L. T. Watson. Dependence of Optimal Structural Weight on Aerodynamic Shape for a High Speed Civil Transport. In 6th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue, WA, 1996. AIAA-96-4046-CP.
6. J.-F. M. Barthelemy and R. T. Haftka. Approximations Concepts for Optimum Structural Design: A Review. Structural Optimization, 5(3): 129-144, 1993.
7. Boeing Commercial Airplanes. 777-200/300 airplane characteristics for airport planning. Internet, July 1998. D6-58329.
8. H. P. Buckley, B. Y. Zhou, and D. W. Zingg. Airfoil Optimization Using Practical Aerodynamic Design Requirements. Journal of Aircraft, 47(5): 1707-1719, September-October 2010.
9. X. Cai and F. Ladeinde. A Comparison of Two POD Methods for Airfoil Design Optimization. In 35th AIAA Fluid Dynamics Conference and Exhibit, Toronto, ON, Canada, 6-9 June 2005. AIAA Paper 2005-4912.
10. H.-S. Chung and J. J. Alonso. Design of a Low-Boom Supersonic Business Jet Using Cokriging Approximation Models. In 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, GA, September 2002. AIAA Paper 2002-5598.
11. H.-S. Chung and J. J. Alonso. Using Gradients to Construct Cokriging Approximation Models for High-Dimensional Design Optimization Problems. In 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Reno, NV, January 2002. AIAA Paper 2002-0317.
12. S. E. Cliff, J. J. Reuther, D. A. Saunders, and R. M. Hicks. Single-Point and Multipoint Aerodynamic Optimization of High Speed Civil Transport. Journal of Aircraft, 38(6): 997-1005, November-December 2001.
13. M. S. Eldred, A. A. Giunta, S. S. Collis, N. A. Alexandrov, and R. M. Lewis. Second-Order Corrections for Surrogate-Based Optimization with Model Hierarchies. In 11th AIAA/ISSMO Multidisciplinary Analysis & Optimization Conference, Albany, NY, August 30-September 1 2004. AIAA Paper 2004-4457.
14. A. I. J. Forrester and A. J. Keane. Recent advances in surrogate-based optimization. Progress in Aerospace Sciences, 45: 50-79, 2009.
15. S. E. Gano, J. E. Renaud, J. D. Martin, and T. W. Simpson. Update strategies for kriging models used in variable fidelity optimization. Structure Multidisciplinary Optimization, 32: 287-298, 2006.
16. K. C. Giannakoglou, D. I. Papadimitriou, and I. C. Kampolis. Aerodynamic shape design using evolutionary algorithms and new gradient-assisted metamodels. Comput. Methods Appl. Mech. Engrg., 195: 6312-6329, 2006.
17. P. E. Gill, W. Murray, and M. A. Saunders. SNOPT: An SQP Algorithm for Large Scale Constrained Optimization. SIAM Review, 47(1): 99-131, 2005.
18. B. Grossman, J. Gurdal, G. J. Strauch, W. M. Eppard, and R. T. Haftka. Integrated Aerodynamic/Structural Design of a Sailplane Wing. Journal of Aircraft, 25(9): 855-860, 1988.
19. B. Grossman, R. T. Haftka, P.-J. Kao, D. M. Polen, and M. Rais-Rohani. Integrated aerodynamic-structural design of a transport wing. Journal of Aircraft, 27(12): 1050-1056, 1990.
20. R. T. Haftka. Optimization of flexible wing structures subject to strength and induced drag constraints. AIAA Journal, 15: 1101-1106, August 1977.
21. Z.-H. Han, S. Görtz, and R. Zimmermann. On Improving Efficiency and Accuracy of Variable-Fidelity Surrogate Modeling in Aero-data for Loads Context. In Proceeding of CEAS 2009 European Air and Space Conference, Manchester, UK, October 26-29 2009.
22. Z.-H. Han, R. Zimmermann, and S. Görtz. A New Cokriging Method for Variable-Fidelity Surrogate Modeling of Aerodynamic Data. In 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, Orlando, FL, January 4-7 2010. AIAA Paper 2010-1225.
23. R. Hooke and T. A. Jeeves. "Direct search" solution of numerical and statistical problems. J. Assoc. Comput. Mach, 8: 212-229, 1961.
24. ICAO. Aviation and Climate Change. International Civil Aviation Organization (ICAO) Environmental Report, 2010.
25. International Energy Agency (IEA). World Energy Outlook 2008. International Energy Agency, Paris, France, 2008.
26. E. H. Isaaks and R. M. Srivastava. An Introduction to Applied Geostatistics. Oxford Univ. Press, Oxford, 1989.
27. Halton. J. H. On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals. Numerische Mathematik, 2: 84-90, 1960.
28. R. Jin, W. Chen, and T. W. Simpson. Comparative studies of metamodelling techniques under multiple modelling criteria. Structural and Multidisciplinary Optimization, 23: 1-13, 2001.
29. Graeme J. Kennedy and Joaquim R. R. A. Martins. Parallel solution methods for aerostructural analysis and design optimization. In Proceedings of the 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Fort Worth, Texas, September 2010.
30. Gaetan K. W. Kenway, Graeme J. Kennedy, and Joaquim R. R. A. Martins. A CAD-free approach to high-fidelity aerostructural optimization. In 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, FortWorth, TX, September 2010. AIAA-2010-9231.
31. Gaetan K. W. Kenway, Graeme J. Kennedy, and Joaquim R. R. A. Martins. A scalable parallel approach for high-fidelity aerostructural analysis and optimization. In 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Honolulu, HI, April 2012. AIAA 2012-1922.
32. P. N. Koch, T. W. Simpson, J. K. Allen, and F. Mistree. Statistical Approximations for Multidisciplinary Optimization: The Problem of Size. Special Multidisciplinary Design Optimization Issue of Journal of Aircraft, 36(1): 275-286, 1999.
33. F. Koko. Aerostructural and Trajectory Optimization of Morphing Wingtip Devices. Master's thesis, Faculty of Aerospace Engineering, Delft University of Technology, October 2011.
34. A. B. Lambe and J. R. R. A. Martins. A unified description of mdo architectures. In Proceedings of the 9th World Congress on Structural and Multidisciplinary Optimization, Shizuoka, Japan, June 2011.
35. J. Laurenceau and M. Meaux. Comparison of gradient and response surface based optimization frameworks using adjoint method. In 4th AIAA Multidisciplinary Design Optimization Specialist Conference, Schaumburg, IL, 2008.
36. J. Laurenceau, M. Meaux, M. Montagnac, and P. Sagaut. Comparison of gradient-based and gradient-enhanced responsesurface-based optimizers. AIAA Journal, 48(5): 981-994, 2010.
37. S. N. Lophaven, H. B. Nielsen, and J. Søndergaard. Aspects of the MATLAB toolbox DACE. Technical Report IMM-REP-2002-13, Informatics and Mathematical Modelling, Technical University of Denmark, 2002.
38. Charles A. Mader and Joaquim R. R. A. Martins. Optimal flying wings: A numerical optimization study. In 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Honolulu, HI, April 2012. AIAA 2012-.
39. G. Matheron. Kriging, or polynomial interpolation procedures? Transactions, LXX: 240-244, 1967.
40. M. Meckesheimer, A. J. Booker, R. R. Barton, and T. W. Simpson. Computationally inexpensive metamodel assessment strategies. AIAA Journal, 40(10): 2053-2060, 2002.
41. S. Nadarajah and A. Jameson. A comparison of the continuous and discrete adjoint approach to automatic aerodynamic optimization. In AIAA 38th Aerospace Sciences Meeting and Exhibit, Reno, NV, January 2000. AIAA Paper 2000-0667.
42. M. Nemec, D. W. Zingg, and T. H. Pulliam. Multipoint and multi-objective aerodynamic shape optimization. AIAA Journal, 42(6): 1057-1065, June 2004.
43. AIAA Technical Committee on Multidisciplinary Design Optimization (MDO). White Paper on Current State of the Art. Technical report, Washington DC, 1991.
44. A. Oyama, T. Nonomura, and K. Fujii. Data Mining of Pareto-Optimal Transonic Airfoil Shapes Using Proper Orthogonal Decomposition. In 19th AIAA Computational Fluid Dynamics, San Antonio, TX, 22-25 June 2009. AIAA Paper 2009-4000.
45. Intergovernmental Panel and Climate Change (IPCC). IPCC Special Reports on Climate Change. In J. E. Penner, D. H. Lister, D. J. Griggs, D. J. Dokken, and M. McFarland, editors, Aviation and the Global Atmosphere. Cambridge University Press, UK, 1999.
46. Nicholas M. K. Poon and Joaquim R. R. A. Martins. An adaptive approach to constraint aggregation using adjoint sensitivity analysis. Structures and Multidisciplinary Optimization, 30(1): 61-73, 2007.
47. J. Reuther, A. Jameson, J. Farmer, L. Martinelli, and D. Saunders. Aerodynamic shape optimization of complex aircraft configurations via an adjoint formulation. In 34th Aerospace Sciences Meeting and Exhibit, Reno, NV, January 1996. AIAA paper 96-0094.
48. J. Sacks, W. J. Welch, T. J. Mitchell, and H. P. Wynn. Design and Analysis of Computer Experiments. Statistical Science, 4: 409-423, 1989.
49. J. A. Samareh. Aerodynamic shape optimization based on free-form deformation. Proc. 10th AIAA/ISSMO Multidisciplinary Anal. Optim. Conf., 6: 3672-3683, 2004.
50. S. Sgouridis, P. A. Bonnefoy, and R. J. Hansman. Air transportation in a carbon cnstrained world: Long-term dynamics of policies and strategies for mitigating the carbon footprint of commercial aviation. Transportation Research Part A: Policy and Practice, 45: 1077-1091, 2011.
51. T. W. Simpson, A. J. Booker, D. Ghosh, A. A. Giunta, P. N. Koch, and R.-J. Yang. Approximation methods in multidisciplinary analysis and optimization: a panel discussion. Struct Multidisc Optim, 27: 302-313, 2004.
52. T. W. Simpson, V. Toropov, V. Balabanov, and F. A. C. Viana. Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review of How Far We Have Come-or Not. In 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Victoria, BC, Canada, September 2008. AIAA Paper 2008-5802.
53. J. Sobieszczanski-Sobieski and R. T. Haftka. Multidisciplinary aerospace design optimization: survey of recent developments. Structural Optimization, 14: 1-23, 1997.
54. D. J. J. Toal, N. W. Bressloff, and A. J. Keane. Geometric filtration using POD for aerodynamic design optimization. In 26th AIAA Applied Aerodynamics Conference, Honolulu, HI, 18-21 August 2008.
55. D. J. J. Toal and A. J. Keane. Efficient Multipoint Aerodynamic Design Optimization via Cokriging. Journal of Aircraft, 48(5): 1685-1695, September-October 2011.
56. V. Torczon. On the Convergence of Pattern Search Algorithms. SIAM Journal of Optimization, 7(1): 1-25, February 1997.
57. Research U. S. Department of Transportation and Bureau of Transportation Statistics Innovative Technology Administration. National Transportation Statistics: http://www. bts. gov/publications/nationalfitransportation_statistics/.
58. E. van derWeide, G. Kalitzin, J. Schluter, and J. J. Alonso. Unsteady Turbomachinery Computations Using Massively Parallel Platforms. AIAA 2006-0421, 2006.
59. John C. Vassberg, Mark A. DeHaan, S. Melissa Rivers, and Richard A. Wahls. Development of a common research model for applied CFD validation studies. In 26th AIAA Applied Aerodynamics Conference, Honolulu, Hawaii, August 2008. AIAA.
60. G. Venter, R. T. Haftka, and Jr. Starnes, J. H. Construction of Response Surface Approximations for Design Optimization. AIAA Journal, 36(12): 2242-2249, December 1998.
61. J. M. ver Hoef and N. Cressie. Multivariable spatial prediction. Mathematical Geology, 25(2): 219-240, 1993.
62. G. A. Wrenn. An indirect method for numerical optimization using the Kreisselmeier-Steinhauser function. NASA Technical Report CR-4220, 1989.
63. R. Zimmermann. Asymptotic Behavior of the Likelihood Function of Covariance Matrices of Spatial Gaussian Processes. Journal of Applied Mathematics, 2010, 2010.
64. R. Zimmermann and S. Görtz. Non-linear reduced order models for steady aerodynamics. International Conference on Computational Science, 1: 165-174, 2010.