A new active-learning function for adaptive Polynomial-Chaos Kriging probability density evolution method

Active learning for structural reliability: Survey, general framework and benchmark

(2022) Maliki Moustapha et al.   STRUCTURAL SAFETY

Reliability analysis using adaptive Polynomial-Chaos Kriging and probability density evolution method

(2021) Tong Zhou et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A combined radial basis function and adaptive sequential sampling method for structural reliability analysis

(2020) Linxiong Hong et al.   APPLIED MATHEMATICAL MODELLING

Adaptive approaches in metamodel-based reliability analysis: A review

(2020) Rui Teixeira et al.   STRUCTURAL SAFETY

An efficient reliability method combining adaptive global metamodel and probability density evolution method

(2019) Tong Zhou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generalized F‐discrepancy‐based point selection strategy for dependent random variables in uncertainty quantification of nonlinear structures

(2019) Junyi Yang et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis

(2018) Ning-Cong Xiao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

(2018) Stefano Marelli et al.   STRUCTURAL SAFETY

High dimensional structural reliability with dimension reduction

(2017) Zhongming Jiang et al.   STRUCTURAL SAFETY

Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions

(2016) Katerina Konakli et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Rare-event probability estimation with adaptive support vector regression surrogates

(2016) J.-M. Bourinet   RELIABILITY ENGINEERING & SYSTEM SAFETY

A GF-discrepancy for point selection in stochastic seismic response analysis of structures with uncertain parameters

(2016) Jianbing Chen et al.   STRUCTURAL SAFETY

Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation

(2016) Xiaoxu Huang et al.   STRUCTURAL SAFETY

An efficient reliability method combining adaptive importance sampling and Kriging metamodel

(2015) Hailong Zhao et al.   APPLIED MATHEMATICAL MODELLING

A new learning function for Kriging and its applications to solve reliability problems in engineering

(2015) Zhaoyan Lv et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

POLYNOMIAL-CHAOS-BASED KRIGING

(2015) Roland Schobi et al.   International Journal for Uncertainty Quantification

Advances of the probability density evolution method for nonlinear stochastic systems

(2011) Jie Li et al.   PROBABILISTIC ENGINEERING MECHANICS

AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation

(2011) B. Echard et al.   STRUCTURAL SAFETY

Adaptive sparse polynomial chaos expansion based on least angle regression

(2010) Géraud Blatman et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions

(2008) B. J. Bichon et al.   AIAA JOURNAL