Abstract No.C180131-174
Author name(s): Ganfeng ZHANG1,2, Deyu WANG1,2
Company: 1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China; 2. Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, China
Improvements regarding partition and generalization have been proposed for Kriging approximation model. One of the improvements about partition is to divide each dimension of sampling point’s data in the design space into two or four equal parts. The Optimal Latin Hypercube Design sampling is applied in each partition. Then different Kriging approximation models are established among different partitions. The other improvement is combining Gauss and exponential correlation function by introducing of proportional coefficient w1, which increases the type of correlation function and thereby improves the generalization performance of approximation model. According to the improvement measures, the partition and generalization Kriging approximation model (PGKAM) is established in each interval. With testing the Schaffer function N.1, the partition and generalization Kriging approximation modeling has been proved effective. By integrating with parametric modeling and PGKAM, certain shape optimization problems of local hull structure are carried out.
KEY WORDS: partition and generalization; Kriging approximation; shape optimization
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