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Global optimization with structural reliability analysis methods
DOI:10.1016/j.ymssp.2026.114994.png)
Abstract
En 中文
• A global optimization framework with structural reliability analysis is proposed.
• Unconstrained and constrained problems require one or two reliability analyses.
• A failure probability-based criterion guides the selection of parameter T.
• GO-SR accommodates reliability methods that generate failure-domain samples.
• An adaptive HMC-based SuS method improves optimization efficiency and stability.
Keywords:
Global optimization
Bayesian updating
Reliability analysis
Subset simulation
Hamiltonian Monte Carlo
Journal
IF:
8.9
Papers:
1.3W
Citations:
6.6W
Organization
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