An ensemble model-based method for estimating failure probability function with application in reliability-based optimization

DOI10.1016/j.apm.2022.03.040zbMath1503.62092OpenAlexW4226145443MaRDI QIDQ2109623

Haodong Zhao, Hanlin Zhang, Changcong Zhou, Zheng Zhang

Publication date: 21 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.03.040

zbMATH Keywords

optimizationreliabilitysurrogatefailure probability functionensemble model

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05)

Uses Software

• DACE
• LIBSVM
• AK-MCS

Cites Work

• Unnamed Item
• A survey on approaches for reliability-based optimization
• Structural optimization of linear dynamical systems under stochastic excitation: a moving reliability database approach
• Reliability-based optimization of structural systems
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• A comparison of two sampling methods for global sensitivity analysis
• Epistemic uncertainty-based reliability analysis for engineering system with hybrid evidence and fuzzy variables
• Novel reliability-based optimization method for thermal structure with hybrid random, interval and fuzzy parameters
• Robust classification and regression using support vector machines
• Computational methods in optimization considering uncertainties - An overview
• Neural-network-based realibility analysis: A comparative study

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