Performance estimate and simultaneous application of multiple surrogates

Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Volumn 3, Issue , 2006, Pages 1664-1689

  Goel, Tushar ^a,d   Haftka, Raphael T ^a,d   Queipo, Nestor V ^b,d   Shyy, Wei ^c,d  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSIDAD DEL ZULIA   (Venezuela)

^c UNIVERSITY OF MICHIGAN   (United States)

^d AIAA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT STRUCTURES; LAUNCHING; MACHINE DESIGN; MODEL STRUCTURES; TURBINES;

MULTIPLE SURROGATES; RADIAL TURBINES; SURROGATE MODELS;

SYSTEMS ANALYSIS;

EID: 33846499723     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2006-7047     Document Type: Conference Paper

References (24)

1. Barthelemy, J-F.M., Haftka, R.T., Approximation Concepts for Optimum Structural Design - A Review, Structural Optimization, Vol. 5, 1993, pp.129-144.
2. Sobieszczanski-Sobieski, J., Haftka, R.T., Multidisciplinary Aerospace Design Optimization: Survey of Recent Developments, Structural Optimization, Vol. 14, 1997, pp. 1-23.
3. Giunta, A.A., Watson, L.T., A Comparison of Approximation Modeling Techniques: Polynomial versus Interpolating Models, In: 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis & Optimization St. Louis, MO, Vol. 1, 1998, pp. 392-404, AIAA-98-4758.
4. Simpson, T.W., Peplinski, J.D., Koch, P.N., Allen, J.K., Meta-Models for Computer Based Engineering Design: Survey and Recommendations, Engineering with Computers, Vol. 17, 2001, pp. 129-150.
5. Jin, R., Chen, W., Simpson, T.W., Comparative Studies of Meta-modeling Techniques Under Multiple Modeling Criteria, Structural and Multi-disciplinary Optimization, Vol. 23, 2001, pp. 1-13.
6. Li, W., Padula, S., Approximation Methods for Conceptual Design of Complex Systems, In: Eleventh International Conference on Approximation Theory (eds. Chui C., Neaumtu M., Schumaker L), May 18-24, 2004.
7. Queipo, N. V., Haftka, R.T., Shyy, W., Goel, T., Vaidyanathan, R., Tucker, P.K., Surrogate-Based Analysis and Optimization, Progress in Aerospace Sciences, Vol. 41, 2005, pp.1-28.
8. Papila, N., Shyy, W., Griffin, L.W., Dorney, D.J., Shape Optimization of Supersonic Turbines using Response Surface and Neural Network Methods, Journal of Propulsion and Power, Vol. 18, 2001, pp. 509-518.
9. Shyy, W., Papila, N., Vaidyanathan, R., Tucker, P.K., Global Design Optimization for Aerodynamics and Rocket Propulsion Components, Progress in Aerospace Sciences, Vol. 37, 2001, pp. 59-118.
10. st Aerospace sciences meeting and exhibit, Reno, NV, 2003).
11. rd AIAA Aerospace Sciences Meeting and Exhibit, Jan 10-13 2005 (Reno, Nevada) AIAA 2005-0333.
12. th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, NY, Aug 2004; AIAA-2004-4489.
13. Fang, H., Rais-Rohani, M., Liu, Z., Horstemeyer, M.F., A Comparative Study of Metamodeling Methods for Multi-objective Crashworthiness Optimization, Computers and Structures, Vol. 83, 2005, pp. 2121-2136.
14. th symposium on improved oil recovery, 2004, April 17-21, Tulsa).
15. Orr, M.J.L., Introduction to Radial Basis Neural Networks, Center for Cognitive Science, Edinburgh University, EH9LW, Scotland, UK. http://anc.ed.ac.uk/rbf/, 1996.
16. Sanchez, E., Pintos, S., Queipo, N.V., Toward and Optimal Ensemble of Kernel-based Approximations with Engineering Applications, In proceedings of IEEE World Conference on Computational Intelligence, Vancouver B.C., Canada, July 16-21, 2006, Paper ID. 1265.
17. Dixon, L.C.W., Szegö, G.P., Towards Global Optimization 2, North-Holland, Amsterdam, 1978.
18. nd AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, Sacramento CA, 9-12 July, 2006, AIAA-2006-5046.
19. Huber, F., Turbine Aerodynamic Design Tool Development, In: Space Transportation Fluids Workshop, Marshall Space Flight Center AL, 2001.
20. MATLAB®, The Language of Technical Computing, Version 6.5 Release 13. © 1984-2002, The MathWorks Inc.
21. Hesterberg, T., Moore, D.S., Monaghan, S., Clipson, A., Epsterin, R., Bootstrap Methods and Permutation Tests, W H Freeman, New York, Chapter 14, 2005.
22. Ueberhuber, C.W., Numerical Computation 2: Methods, Software and Analysis, Springer-Verlag: Berlin, p.71, 1997.
23. Myers, R.H., Montgomery, D.C., Response Surface Methodology-Process and Product Optimization using Designed Experiments, John Wiley & Sons, Inc: New York, 1995.
24. Martin, J.D., Simpson, T.W., Use of Kriging Models to Approximate Deterministic Computer Models, AIAA Journal Vol. 43(4), 2005, pp. 853-863.