Response surface model building and multidisciplinary optimization using D-optimal designs

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 Doptimal 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 Doptimal designs may provide an efficient approach for approximation model building and for multidisciplinary design optimization. Introduction Computerized design and analysis capabilities exist in many key disciplines required for design and analysis of space transportation systems. For a given configuration, system performance characteristics can be determined by the use of these analysis codes. The next step is to determine the settings of design parameters that optimize the system performance characteristics subject to constraints. However, the complex computer programs used in aerospace de...

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