Enhanced Kriging leave-one-out cross-validation in improving model estimation and optimization
Leave-one-out cross-validation (LOOCV) is a widely used technique in model estimation
and selection of the Kriging surrogate model for engineering problems, such as structural …
and selection of the Kriging surrogate model for engineering problems, such as structural …
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 …
A novel sampling method for adaptive gradient-enhanced Kriging
This paper presents a novel infill-sampling strategy for adaptive gradient-enhanced Kriging
(AGEK) that delivers superior results on a limited budget. The primary innovation of this …
(AGEK) that delivers superior results on a limited budget. The primary innovation of this …
Failure probability function estimation in augmented sample space combined active learning Kriging and adaptive sampling by Voronoi cells
H Hu, P Wang, F Xin, L Li - Mechanical Systems and Signal Processing, 2024 - Elsevier
Due to the epistemic uncertainty in engineering practice, both the random variables and
their distribution parameters should be simultaneously considered uncertain. Therefore, the …
their distribution parameters should be simultaneously considered uncertain. Therefore, the …
Surrogate-based sequential Bayesian experimental design using non-stationary Gaussian Processes
Inferring arbitrary quantities of interest (QoI) using limited computational or, in realistic
scenarios, financial budgets, is a challenging problem that requires sophisticated strategies …
scenarios, financial budgets, is a challenging problem that requires sophisticated strategies …
A novel adaptive Kriging method: Time-dependent reliability-based robust design optimization and case study
Z Jiang, J Wu, F Huang, Y Lv, L Wan - Computers & Industrial Engineering, 2021 - Elsevier
The computational efficiency and accuracy of the time-dependent reliability-based robust
design optimization (TRBRDO) directly rely on the capability to handle the time-dependent …
design optimization (TRBRDO) directly rely on the capability to handle the time-dependent …
Large-scale sandwich structures optimization using Bayesian method
H Liu, J Guo, J Wang, C Wang - International Journal of Mechanical …, 2024 - Elsevier
Benefiting from advanced features like high stiffness-to-weight ratios, sandwich structures
are widely used in aerospace for primary and secondary structures. As tasks grow more …
are widely used in aerospace for primary and secondary structures. As tasks grow more …
Gradient and uncertainty enhanced sequential sampling for global fit
Surrogate models based on machine learning methods have become an important part of
modern engineering to replace costly computer simulations. The data used for creating a …
modern engineering to replace costly computer simulations. The data used for creating a …
Local non‐intrusive reduced order modeling based on soft clustering and classification algorithm
YE Kang, S Shon, K Yee - International Journal for Numerical …, 2022 - Wiley Online Library
The use of non‐intrusive reduced order modeling (NIROM) to approximate high‐fidelity
computer models has been steadily increased over the past decade. Recently, local NIROM …
computer models has been steadily increased over the past decade. Recently, local NIROM …
Adaptive virtual modelling enhanced dynamic and reliability analysis of SGPLRP-MEE plates
This paper proposes the novel multi-physical nonlinear dynamic biaxial buckling and
reliability analysis for sandwich graphene platelets reinforced porous plates with magneto …
reliability analysis for sandwich graphene platelets reinforced porous plates with magneto …