Response Surface Model Building and Multidisciplinary Optimization Using D-Optimal Designs

Response Surface Model Building and Multidisciplinary Optimization Using D-Optimal Designs

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 de...

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Hauptverfasser: Unal, Resit, Lepsch, Roger A., McMillin, Mark L.
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Sprache:eng
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Computer Programming And Software
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Lepsch, Roger A.
McMillin, Mark L.
description 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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title Response Surface Model Building and Multidisciplinary Optimization Using D-Optimal Designs
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