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

• المؤلفون الرئيسيون: Yoshida, Ikumasa, Nakamura, Tomoka, Au, Siu-Kui
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Civil engineering::Geotechnical; Gaussian Process Regression; Active Learning; Reliability; Surrogate Model; Meta Modeling
• الوصول للمادة أونلاين: 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...