Flexible approximation model approach for bi-level integrated system synthesis

Collection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Volumn 4, Issue , 2004, Pages 2700-2710

  Kim, Hongman ^a   Ragon, Scott ^a   Soremekun, Grant ^a   Malone, Brett ^a   Sobieszczanski Sobieski, Jaroslaw ^b  

^a Phoenix Integration Inc   (United States)

^b NASA LANGLEY RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BI-LEVEL INTEGRATED SYSTEM SYNTHESIS (BLISS); FLEXIBLE APPROXIMATION MODEL; KRIGING MODEL; SYSTEM SYNTHESIS;

APPROXIMATION THEORY; INTEGRATION; MATHEMATICAL MODELS; OPTIMIZATION; POLYNOMIALS; PROBLEM SOLVING; SUPERSONIC AIRCRAFT;

SYSTEMS ANALYSIS;

EID: 20344379924     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Giunta, A. A., Balabanov, V., Grossman, B., Mason, W. H., Watson, L. T., and Haftka, R. T., "Multidisciplinary Optimisation of a Supersonic Transport Using Design of Experiments Theory and Response Surface Modelling," Aeronautical Journal, Vol. 101, 1997, pp. 347-356.
2. Chen, W., Allen, J. K., Schrage, D. P., and Mistree, F., "Statistical Experimentation Methods for Achieving Affordable Concurrent Systems Design," AIAA Journal, Vol. 35, No. 5, 1997, pp. 893-900.
3. Sobieszczanski-Sobieski, J., Altus, T. D., Phillips, M., and Sandusky, R., "Bi-Level Integrated System Synthesis for Concurrent and Distributed Processing," AIAA Journal, Vol. 41, No. 10, 2003, pp. 1996-2002.
4. Kim, H., Malone, B., and Sobieszczanski-Sobieski, J., "A Distributed, Parallel, and Collaborative Environment for Design of Complex Systems," AIAA Paper 2004-1848.
5. Phoenix Integration, Inc., "Improving the Engineering Process with Software Integration," a white paper, 2002. (See also www.phoenixint.com).
6. Altus, T. D., "A Response Surface Methodology for Bi-Level Integrated System Synthesis (BLISS)," NASA CR 2002-211652, 2002.
7. Sobieszczanski-Sobieski, J., Agte, J. S., and Sandusky, R. R., Jr., "Bi-Level Integrated System Synthesis (BLISS)," NASA TM 1998-208715, 1998.
8. De Baets, P., A Methodology for Aeroelastic Constraint Analysis in a Conceptual Design Environment, PhD Thesis, Georgia Institute of Technology, GA, 2004.
9. Brown, N., Evaluation of Multidisciplinary Optimization (MDO) Techniques Applied to a Reusable Launch Vehicle, Special Project Report, Georgia Institute of Technology, GA, 2004.
10. Myers, R. H., and Montgomery, D. C., Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, Inc., New York, NY, 1995.
11. Sacks, J., Welch W. J., Mitchell, T. J., and Wynn, H.P., "Design and Analysis of Computer Experiments," Statistical Science, Vol. 4, No. 4, pp.409-435, 1989.
12. Booker, A., "Design and Analysis of Computer Experiments," AIAA Paper 98-4757.
13. Audet, C., Dennis, J. E., Jr., Moore, D. W., Booker, A., and Frank, P. D., "A Surrogate-Model-Based Method for Constrained Optimization," AIAA Paper 2000-4891.
14. Giunta, A. A., and Watson, L. T., "A Comparison of Approximation Modeling Techniques: Polynomial versus Interpolating Models," AIAA Paper 98-4758.
15. Simpson, T. W., Mauery, T. M., Korte, J. J., and Mistree, F., "Comparison of Response Surface and Kriging Models for Multidisciplinary Design Optimization," AIAA Paper 98-4755.
16. Jin, R., Chen, W., and Simpson, T., "Comparative Studies of Metamodeling Techniques under Multiple Modeling Criteria," AIAA Paper 2000-4801.
17. McKay, M. D., Beckman, R. J., and Conover, W. J., "A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code," Technometrics, Vol. 21, No.2,1979, pp.239-245.