Kriging models are frequently used as metamodels during system design optimization. In many applications, a kriging model is used as a deterministic model of a computationally expensive analysis or simulation. In this paper, a kriging model is employed as a probabilistic model on a one-dimensional and two two-dimensional test problems. A probabilistic model is a model in which the parameters are random variables resulting in a probability distribution of the output rather than a deterministic value. A probabilistic model can be used in design to quantify the knowledge designers have about a subsystem and the lack of knowledge or uncertainty in the model. Using a kriging model as a probabilistic model requires that the correlation of observations is only a function of the distance between the observations and that the observations have a Gaussian probability distribution. This paper will provide some methods to satisfy these requirements when using kriging models as probabilistic models.
On Using Kriging Models as Probabilistic Models in Design
Sae Technical Papers
SAE 2004 World Congress & Exhibition ; 2004
2004-03-08
Aufsatz (Konferenz)
Englisch
On Using Kriging Models as Probabilistic Models in Design
British Library Conference Proceedings | 2004
|On Using Kriging Models as Probabilistic Models in Design
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