An efficient and versatile Kriging-based active learning method for structural reliability analysis
In structural reliability analysis, the development of an efficient and versatile active learning
method applicable to problems of varying complexities remains a challenging task. The …
method applicable to problems of varying complexities remains a challenging task. The …
AK-SEUR: An adaptive Kriging-based learning function for structural reliability analysis through sample-based expected uncertainty reduction
C Peng, C Chen, T Guo, W Xu - Structural Safety, 2024 - Elsevier
Reliability Analysis (RA) is a critical aspect of structural design and performance evaluation
aiming to determine the probability of structural failure under given random input …
aiming to determine the probability of structural failure under given random input …
Portfolio allocation strategy for active learning Kriging-based structural reliability analysis
Recently, numerous studies have focused on structural reliability analysis, with the Kriging-
based active learning method being particularly popular. A variety of Kriging-based learning …
based active learning method being particularly popular. A variety of Kriging-based learning …
An active learning Kriging model with approximating parallel strategy for structural reliability analysis
Y Meng, D Zhang, B Shi, D Wang, F Wang - Reliability Engineering & …, 2024 - Elsevier
With the ever-increasing complexity of engineering problems, active learning functions fused
with Kriging models are receiving significant attention and are extensively applied in various …
with Kriging models are receiving significant attention and are extensively applied in various …
HALK: A hybrid active-learning Kriging approach and its applications for structural reliability analysis
The paper presents a hybrid active-learning approach for structural reliability analysis via
adaptive Kriging surrogate models. The quasi first-order reliability method is first proposed …
adaptive Kriging surrogate models. The quasi first-order reliability method is first proposed …
An accelerated active learning Kriging model with the distance-based subdomain and a new stopping criterion for reliability analysis
Reliability analysis for computationally expensive models is a challenging problem. Monte
Carlo simulation is commonly employed in conjunction with the active learning assisted …
Carlo simulation is commonly employed in conjunction with the active learning assisted …
An active-learning method based on multi-fidelity Kriging model for structural reliability analysis
Active-learning surrogate model–based reliability analysis is widely employed in
engineering structural reliability analysis to alleviate the computational burden of the Monte …
engineering structural reliability analysis to alleviate the computational burden of the Monte …
A novel kriging based active learning method for structural reliability analysis
H Linxiong, L Huacong, P Kai, X Hongliang - Journal of Mechanical …, 2020 - Springer
In the reliability analysis of engineering structures, there are usually implict and highly
nonlinear performance function problems, which leads to the time-consuming computations …
nonlinear performance function problems, which leads to the time-consuming computations …
An efficient structural reliability analysis method with active learning Kriging-assisted robust adaptive importance sampling
Due to deterioration effects and a variety of manmade or natural hazards, structures and
infrastructure systems can face serious challenges for the functionality and safety during the …
infrastructure systems can face serious challenges for the functionality and safety during the …
Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation
X Huang, J Chen, H Zhu - Structural Safety, 2016 - Elsevier
With complex performance functions and time-demanding computation of structural
responses, the estimation of small failure probabilities is a challenging problem in …
responses, the estimation of small failure probabilities is a challenging problem in …