BUAK-AIS: efficient Bayesian updating with active learning kriging-based adaptive importance sampling

DOI10.1016/j.cma.2022.114578OpenAlexW4210571535WikidataQ114902655 ScholiaQ114902655MaRDI QIDQ2670376

Abdollah Shafieezadeh, Chaolin Song, Zeyu Wang, Ru-Cheng Xiao

Publication date: 11 March 2022

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2022.114578

zbMATH Keywords

importance samplingcalibrationreliability analysisBayesian updatingactive learning kriging

Mathematics Subject Classification ID

Bayesian inference (62F15) Probabilistic models, generic numerical methods in probability and statistics (65C20) Monte Carlo methods (65C05) Reliability and life testing (62N05)

Related Items (4)

Bayesian updating with two-step parallel Bayesian optimization and quadrature ⋮ A robust method for reliability updating with equality information using sequential adaptive importance sampling ⋮ AK-\(\mathrm{HR}^n\): an efficient adaptive kriging-based \(n\)-hypersphere rings method for structural reliability analysis ⋮ Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces

Uses Software

• DACE
• AK-MCS
• UQLab

Cites Work

• Extended Kalman filters using explicit and derivative-free local linearizations
• Quantification of cohesive fracture parameters based on the coupling of Bayesian updating and the boundary element method
• A new learning function for kriging and its applications to solve reliability problems in engineering
• Bayesian identification and model comparison for random property fields derived from material microstructure
• Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling
• Bayesian updating and model class selection with subset simulation
• Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment
• Bayesian updating with subset simulation using artificial neural networks
• Bayesian inference with subset simulation: strategies and improvements
• Parameter identification in explicit structural dynamics: performance of the extended Kalman filter
• Optimization of cable-stayed bridges with three-dimensional modelling
• Adaptive Rejection Sampling for Gibbs Sampling
• The origins of kriging

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