Response Surface Model Building and Multidisciplinary Optimization Using Overdetermined D-Optimal Designs
Resit Unal, Jr Roger A. Lepsch, L McMillin Mark
Abstract
Resit Unal, Jr Roger A. Lepsch, L McMillin Mark
Abstract
This paper discusses response surface methods for approximation model building and multidisciplinary design optimization. The response surface methods discussed are central composite designs, Bayesian methods and D-optimal designs. An over-determined D-optimal design is applied to a configuration design and optimization study of a wing-body, launch vehicle. Results suggest that over determined D-optimal designs may provide an efficient approach for approximation model building and for multidisciplinary design optimization.
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This paper discusses response surface methods for approximation model building and multidisciplinary design optimization. The response surface methods discussed are central composite designs, Bayesian methods and D-optimal designs. An over-determined D-optimal design is applied to a configuration design and optimization study of a wing-body, launch vehicle. Results suggest that over determined D-optimal designs may provide an efficient approach for approximation model building and for multidisciplinary design optimization.
Key concepts: Multidisciplinary design optimization, Optimal design, Multidisciplinary approach, Response surface methodology, Mathematical optimization, Surface (topology), Computer science, Overdetermined system