Advanced methods: active learning and benchmarks

Use surrogate-assisted reliability for expensive limit-state evaluations. Begin with the active-learning overview, then test the methods against the hat and structural-truss benchmarks before exploring PC-Kriging, bootstrap voting, importance sampling and subset simulation.

• Active learning for reliability analysis
• The hat-function benchmark
• The 23-bar truss benchmark
• PC-Kriging, bootstrap voting and importance sampling
• Active learning with subset simulation