Pages that link to "Item:Q2020882"
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The following pages link to Random and multi-super-ellipsoidal variables hybrid reliability analysis based on a novel active learning kriging model (Q2020882):
Displaying 10 items.
- A novel projection outline based active learning method and its combination with Kriging metamodel for hybrid reliability analysis with random and interval variables (Q1986605) (← links)
- Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis (Q2060129) (← links)
- Probability and convex set hybrid reliability analysis based on active learning kriging model (Q2278777) (← links)
- A Kriging-based active learning algorithm for mechanical reliability analysis with time-consuming and nonlinear response (Q2298781) (← links)
- A new method for reliability analysis of structures with mixed random and convex variables (Q2310593) (← links)
- Unified reliability-based design optimization with probabilistic, uncertain-but-bounded and fuzzy variables (Q2693401) (← links)
- (Q3307515) (← links)
- A combined active learning kriging model and sequential importance sampling for hybrid reliability analysis with random and interval variables (Q3385190) (← links)
- A novel hybrid adaptive kriging and water cycle algorithm for reliability-based design and optimization strategy: application in offshore wind turbine monopile (Q6097650) (← links)
- Multi-failure mode reliability analysis method based on intelligent directional search with constraint feedback (Q6550159) (← links)
