A robust method for reliability updating with equality information using sequential adaptive importance sampling

DOI10.1016/J.CMA.2023.116028arXiv2303.04545MaRDI QIDQ6094686

Xiong Xiao, Zeyu Wang, Quanwang Li

Publication date: 14 September 2023

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

Full work available at URL: https://arxiv.org/abs/2303.04545

zbMATH Keywords

Gaussian mixture\(K\)-means clusteringcross entropyreliability updatingequality informationsequential adaptive importance sampling

Mathematics Subject Classification ID

Statistics (62-XX) Operations research, mathematical programming (90-XX)

Related Items (2)

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Cites Work

• Robust model updating with insufficient data
• Bayesian updating and marginal likelihood estimation by cross entropy based importance sampling
• Bayesian updating and model class selection with subset simulation
• Bayesian updating with subset simulation using artificial neural networks
• A new stochastic simulation algorithm for updating robust reliability of linear structural dynamic systems subjected to future Gaussian excitations
• Bayesian inference with subset simulation: strategies and improvements
• The use of updated robust reliability measures in stochastic dynamical systems
• BUAK-AIS: efficient Bayesian updating with active learning kriging-based adaptive importance sampling
• Following a Moving Target—Monte Carlo Inference for Dynamic Bayesian Models
• Structural reliability under combined random load sequences
• Rejection Control and Sequential Importance Sampling

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