Bayesian updating of model parameters using adaptive Gaussian process regression and particle filter

• Main Authors: Yoshida, Ikumasa, Nakamura, Tomoka, Au, Siu-Kui
• 其他作者: School of Civil and Environmental Engineering
• 格式: Article
• 語言: English
• 出版: 2023
• 主題: Engineering::Civil engineering::Geotechnical; Gaussian Process Regression; Active Learning; Reliability; Surrogate Model; Meta Modeling
• 在線閱讀: https://hdl.handle.net/10356/164713

Bayesian model updating provides a powerful framework for updating and uncertainty quantification of models by making use of observations, following probability rules in the treatment of uncertainty. Particle filter (PF) and Bayesian Updating with Structural Reliability method (BUS) have been develo...