Pages that link to "Item:Q2020913"
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The following pages link to A new reliability method for small failure probability problems by combining the adaptive importance sampling and surrogate models (Q2020913):
Displaying 25 items.
- An efficient surrogate-based method for computing rare failure probability (Q422494) (← links)
- A combined projection-outline-based active learning Kriging and adaptive importance sampling method for hybrid reliability analysis with small failure probabilities (Q1986678) (← links)
- Adaptive reliability analysis for rare events evaluation with global imprecise line sampling (Q2020920) (← links)
- Application of adaptive reliability importance sampling-based extended domain PSO on single mode failure in reliability engineering (Q2055522) (← links)
- Efficient local adaptive Kriging approximation method with single-loop strategy for reliability-based design optimization (Q2072722) (← links)
- Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces (Q2096838) (← links)
- Quantile-based topology optimization under uncertainty using kriging metamodel (Q2138749) (← links)
- Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables (Q2175068) (← links)
- A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis (Q2237485) (← links)
- An adaptive metamodel-based subset importance sampling approach for the assessment of the functional failure probability of a thermal-hydraulic passive system (Q2293863) (← links)
- M5 model tree and Monte Carlo simulation for efficient structural reliability analysis (Q2293916) (← links)
- Efficient reliability analysis based on adaptive sequential sampling design and cross-validation (Q2295337) (← links)
- Hybrid control variates-based simulation method for structural reliability analysis of some problems with low failure probability (Q2295924) (← links)
- An adaptive divergence-based method for structural reliability analysis via multiple kriging models (Q2306804) (← links)
- Adaptive Gaussian process emulators for efficient reliability analysis (Q2310644) (← links)
- An efficient reliability method combining adaptive importance sampling and kriging metamodel (Q2338429) (← links)
- (Q2973336) (← links)
- Adaptive importance sampling for risk analysis of complex infrastructure systems (Q3502094) (← links)
- Compound kriging-based importance sampling for reliability analysis of systems with multiple failure modes (Q6048144) (← links)
- A novel method for reliability analysis with interval parameters based on active learning Kriging and adaptive radial‐based importance sampling (Q6090734) (← links)
- A novel approach for multi‐output structural system reliability problem with small failure probability (Q6092231) (← links)
- AK-\(\mathrm{HR}^n\): an efficient adaptive kriging-based \(n\)-hypersphere rings method for structural reliability analysis (Q6116129) (← links)
- A novel maximum volume sampling model for reliability analysis (Q6135673) (← links)
- AK-Gibbs: an active learning kriging model based on Gibbs importance sampling algorithm for small failure probabilities (Q6550157) (← links)
- A novel weight index-based uniform partition technique of multi-dimensional probability space for structural uncertainty quantification (Q6609819) (← links)
