Research on complicated finite element model updating based on bayesian method
Han Fang1,2; Zhong Dong-wang1,2; Wang Jun3
1. School of Science, Wuhan University of Science and Technology, Wuhan 430065, China；
2. Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Wuhan 430065, China；
3. Wuhuan Engineering Co.Ltd, Wuhan 430079, China
Abstract：It is proved that the Bayes criterion function method based on maximum entropy principle is in accordance with the regularization method solving ill-posed problems from the probabilistic perspective, and a new method based on information fusion and Bayes for model modification is established. Samples are designed by test and second-order response surface is adopted as the fast operation model which can be easily modified and perfected by fully use of prior information(design code information, the finite element calculation information and test information).This method can be generalized to large and complicated nonlinear structures for its computational efficiency and solution convergence.The underground powerhouse of pumped-storage power station is employed to verify the effectiveness of the method.
韩 芳;钟冬望;汪 君. 基于贝叶斯法的复杂有限元模型修正研究[J]. , 2012, 31(1): 39-43.
Han Fang;Zhong Dong-wang;Wang Jun. Research on complicated finite element model updating based on bayesian method. , 2012, 31(1): 39-43.
2012, Vol. 31 
