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

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

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...

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Bibliographic Details
Main Authors: Yoshida, Ikumasa, Nakamura, Tomoka, Au, Siu-Kui
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Civil engineering::Geotechnical
Gaussian Process Regression
Active Learning
Reliability
Surrogate Model
Meta Modeling
Online Access:https://hdl.handle.net/10356/164713

Internet

https://hdl.handle.net/10356/164713

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