Structural finite element model updating based on Gaussian process response surface methodology
WAN Hua-ping1, REN Wei-xin1, WEI Jin-hui1, 2
1. School of Civil Engineering, Central South University, Changsha Hunan 410075, China2. Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou 450015, China
Abstract：As the Bayesian framework-based and nonparametric models, Gaussian process (GP) models have drawn a considerable attention of the researchers in recent years. GP models have many advantages, including the flexibility of the forms of covariance functions, high accuracy of prediction, quantifying the prediction quality with uncertainties and so on. Therefore, this paper proposes a novel model updating technique based on GP response surface methodology (RSM), and the relevant basic principle is elaborated. Results of the numerical examples
万华平;任伟新;魏锦辉;. 基于高斯过程响应面的结构有限元模型修正方法[J]. , 2012, 31(24): 82-87.
WAN Hua-ping;REN Wei-xin;WEI Jin-hui;. Structural finite element model updating based on Gaussian process response surface methodology. , 2012, 31(24): 82-87.
2012, Vol. 31 
