A variable and mode sensitivity analysis method for structural system using a novel active learning Kriging model

A system active learning Kriging method for system reliability-based design optimization with a multiple response model

(2020) Mi Xiao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A system reliability analysis method combining active learning Kriging model with adaptive size of candidate points

(2019) Xufeng Yang et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Improved resonance reliability and global sensitivity analysis of multi-span pipes conveying fluid based on active learning Kriging model

(2019) Qing Guo et al.   INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

An efficient method combining adaptive Kriging and fuzzy simulation for estimating failure credibility

(2019) Chunyan Ling et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Adaptive Kriging coupled with importance sampling strategies for time-variant hybrid reliability analysis

(2019) Chunyan Ling et al.   APPLIED MATHEMATICAL MODELLING

Active Learning Kriging Model Combining With Kernel-Density-Estimation-Based Importance Sampling Method for the Estimation of Low Failure Probability

(2018) Xufeng Yang et al.   JOURNAL OF MECHANICAL DESIGN

Reliability and reliability-based importance analysis of structural systems using multiple response Gaussian process model

(2018) Pengfei Wei et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

System reliability analysis through active learning Kriging model with truncated candidate region

(2018) Xufeng Yang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Global kriging surrogate modeling for general time-variant reliability-based design optimization problems

(2018) Lara Hawchar et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

An efficient reliability analysis method combining adaptive Kriging and modified importance sampling for small failure probability

(2018) Wanying Yun et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

An efficient method based on Bayes’ theorem to estimate the failure-probability-based sensitivity measure

(2018) Yanping Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Adaptive surrogate model with active refinement combining Kriging and a trust region method

(2017) B. Gaspar et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

LIF: A new Kriging based learning function and its application to structural reliability analysis

(2017) Zhili Sun et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Rare-event probability estimation with adaptive support vector regression surrogates

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

Active learning surrogate models for the conception of systems with multiple failure modes

(2016) G. Perrin   RELIABILITY ENGINEERING & SYSTEM SAFETY

A new kind of sensitivity index for multivariate output

(2016) Luyi Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

(2016) Xiaoxu Huang et al.   STRUCTURAL SAFETY

Probability and convex set hybrid reliability analysis based on active learning Kriging model

(2015) Xufeng Yang 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

Failure-Mode Importance Measures in System Reliability Analysis

(2014) Changcong Zhou et al.   JOURNAL OF ENGINEERING MECHANICS

An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability

(2014) F. Cadini et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Meta-model-based importance sampling for reliability sensitivity analysis

(2014) V. Dubourg et al.   STRUCTURAL SAFETY

Metamodel-based importance sampling for structural reliability analysis

(2013) V. Dubourg et al.   PROBABILISTIC ENGINEERING MECHANICS

AK-SYS: An adaptation of the AK-MCS method for system reliability

(2013) W. Fauriat et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

FORM, SORM, and spatial modeling in geotechnical engineering

(2013) B.K. Low   STRUCTURAL SAFETY

Efficient sampling methods for global reliability sensitivity analysis

(2012) Pengfei Wei et al.   COMPUTER PHYSICS COMMUNICATIONS

A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models

(2012) B. Echard et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Efficient surrogate models for reliability analysis of systems with multiple failure modes

(2011) Barron J. Bichon et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Artificial neural network model of the strength of thin rectangular plates with weld induced initial imperfections

(2011) Z. Sadovský et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Sequential design of computer experiments for the estimation of a probability of failure

(2011) Julien Bect et al.   STATISTICS AND COMPUTING

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

(2011) B. Echard et al.   STRUCTURAL SAFETY

Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models

(2010) Matieyendou Lamboni et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions

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

A new computational method of a moment-independent uncertainty importance measure

(2008) Qiao Liu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Global sensitivity analysis using polynomial chaos expansions

(2007) Bruno Sudret   RELIABILITY ENGINEERING & SYSTEM SAFETY