Journal of Mechanical Science and Technology

The Korean Society of Mechanical Engineers (대한기계학회)
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Kriging Interpolation Methods in Geostatistics and DACE Model

  • Park, Dong-Hoon (Director, Center of Innovative Design Optimization Technology, Hanyang University) ;
  • Ryu, Je-Seon (Ph. d. Student, Department of Mathematics, Hanyang University) ;
  • Kim, Min-Seo (Research professor, Center of Innovative Design Optimization Technology, Hanyang University) ;
  • Cha, Kyung-Joon (Department of Mathematics, Hanyang University) ;
  • Lee, Tae-Hee (School of Mechanical Engineering, Hanyang University)
  • Published : 2002.05.01
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Abstract

In recent study on design of experiments, the complicate metamodeling has been studied because defining exact model using computer simulation is expensive and time consuming. Thus, some designers often use approximate models, which express the relation between some inputs and outputs. In this paper, we review and compare the complicate metamodels, which are expressed by the interaction of various data through trying many physical experiments and running a computer simulation. The prediction model in this paper employs interpolation schemes known as ordinary kriging developed in the fields of spatial statistics and kriging in Design and Analysis of Computer Experiments (DACE) model. We will focus on describing the definitions, the prediction functions and the algorithms of two kriging methods, and assess the error measures of those by using some validation methods.

Keywords

References

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