An efficient hybrid reliability analysis method based on active learning kriging model and multimodal-optimization-based importance sampling
DOI10.1002/NME.6847zbMATH Open1548.62253MaRDI QIDQ6554078
Xufeng Yang, Caiying Mi, Tai Wang
Publication date: 12 June 2024
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
importance samplingkriging modelhybrid reliability analysisevolutionary multimodal multiobjective optimization
Multi-objective and goal programming (90C29) Numerical optimization and variational techniques (65K10) Reliability and life testing (62N05)
Cites Work
- A novel projection outline based active learning method and its combination with Kriging metamodel for hybrid reliability analysis with random and interval variables
- A combined projection-outline-based active learning Kriging and adaptive importance sampling method for hybrid reliability analysis with small failure probabilities
- Novel probabilistic model for searching most probable point in structural reliability analysis
- Remarks on a Multivariate Transformation
- Bounds approximation of limit-state surface based on active learning Kriging model with truncated candidate region for random-interval hybrid reliability analysis
- A new hybrid reliability-based design optimization method under random and interval uncertainties
- Active learning method combining Kriging model and multimodal-optimization-based importance sampling for the estimation of small failure probability
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