Response surface methods have been used for a variety of applications in aerospace engineering, particularly in multidisciplinary design optimization. The authors investigate the use of kriging models as alternatives to traditional second-order polynomial response surfaces for constructing global approximations for use in a real aerospace engineering application, namely, the design of an aerospike nozzle. The author's objective is to examine the difficulties in building and using kriging models to create accurate global approximations to facilitate multidisciplinary design optimization. Error analysis of the response surface and kriging models is performed, along with a graphical comparison of the approximations. Four optimization problems are also formulated and solved using both sets of approximation models to gain insight into their use for multidisciplinary design optimization. The authors find that the kriging models, which use only a constant 'global' model and a Gaussian correlation function, yield global approximations that are slightly more accurate than the response surface models.
Kriging models for global approximation in simulation-based multidisciplinary design optimization
Globale Systemoptimierung mit dem Kringing-Modell
AIAA Journal ; 39 , 12 ; 2233-2241
2001
9 Seiten, 8 Bilder, 5 Tabellen, 45 Quellen
Aufsatz (Zeitschrift)
Englisch
British Library Conference Proceedings | 2002
|Comparison of Response Surface and Kriging Models for Multidisciplinary Design Optimization
British Library Conference Proceedings | 1998
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