Directional filter combined with active learning for rare failure events

DOI10.1016/j.cma.2024.117105zbMATH Open1543.741MaRDI QIDQ6566088

Jingwen Song, Michael A. Beer, Yifan Cui, Wei-Hong Zhang, Mohsen Rashki, Pengfei Wei

Publication date: 3 July 2024

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

zbMATH Keywords

active learningGaussian process regressionmost probable pointdirectional filterrare failure event

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Fracture and damage (74R99) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

Cites Work

• Unnamed Item
• The soft Monte Carlo method
• General multi-dimensional probability integration by directional simulation
• Structural reliability under combined random load sequences
• Estimation of small failure probabilities by partially Bayesian active learning line sampling: theory and algorithm
• Active-learning-driven surrogate modeling for efficient simulation of parametric nonlinear systems
• Bayesian reinforcement learning reliability analysis

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