An efficient method for estimating failure probability bounds under random‐interval mixed uncertainties by combining line sampling with adaptive Kriging

DOI10.1002/nme.7122MaRDI QIDQ6092165

Jiaqi Wang, Zhen-Zhou Lü, Unnamed Author

Publication date: 23 November 2023

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

zbMATH Keywords

reliability analysisMarkov chain simulationKriging surrogate modelfailure probability boundsline sampling methodrandom-interval mixed uncertainties

Mathematics Subject Classification ID

Systems theory; control (93-XX) Statistics on algebraic and topological structures (62Rxx) Statistical sampling theory and related topics (62Dxx)

Cites Work

• Robust mechanism synthesis with random and interval variables
• An application of the kriging method in global sensitivity analysis with parameter uncertainty
• Unified uncertainty analysis under probabilistic, evidence, fuzzy and interval uncertainties
• A novel time-dependent system constraint boundary sampling technique for solving time-dependent reliability-based design optimization problems
• Advanced solution strategies for time-dependent reliability based design optimization
• Novel reliability-based optimization method for thermal structure with hybrid random, interval and fuzzy parameters
• An adaptive multiple-kriging-surrogate method for time-dependent reliability analysis
• Simulation and the Monte Carlo Method

This page was built for publication: An efficient method for estimating failure probability bounds under random‐interval mixed uncertainties by combining line sampling with adaptive Kriging