A time variant uncertainty propagation method for high-dimensional dynamic structural system via K-L expansion and Bayesian deep neural network.

Liu, Jingfei; Jiang, Chao; Liu, Haibo; Li, Guijie

Liu, Jingfei; Jiang, Chao; Liu, Haibo; Li, Guijie.

Affiliation

Liu J; Henan Key Laboratory of Superhard Abrasives and Grinding Equipment, Henan University of Technology, Zhengzhou 450001, People's Republic of China.
Jiang C; School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, People's Republic of China.
Liu H; School of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, People's Republic of China.
Li G; Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, People's Republic of China.

Philos Trans A Math Phys Eng Sci ; 381(2260): 20220388, 2023 Nov 13.

Article in En | MEDLINE | ID: mdl-37742709

Key words

Bayesian deep neural network; arbitrary stochastic process simulation; dynamic structural system; high-dimensional problems; uncertainty propagation

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Philos Trans A Math Phys Eng Sci Journal subject: BIOFISICA / ENGENHARIA BIOMEDICA Year: 2023 Type: Article

Fulltext

XML

PubMed Links

Search on Google