相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Line sampling-based local and global reliability sensitivity analysis
Xiaobo Zhang et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2020)
A Bayesian Monte Carlo-based method for efficient computation of global sensitivity indices
Yicheng Zhou et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Adaptive Gaussian process emulators for efficient reliability analysis
P. O. Hristov et al.
APPLIED MATHEMATICAL MODELLING (2019)
An efficient and robust adaptive sampling method for polynomial chaos expansion in sparse Bayesian learning framework
Yicheng Zhou et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2019)
A dimension-wise method and its improvement for multidisciplinary interval uncertainty analysis
Lei Wang et al.
APPLIED MATHEMATICAL MODELLING (2018)
An adaptive directional importance sampling method for structural reliability analysis
Mohsen Ali Shayanfar et al.
STRUCTURAL SAFETY (2018)
AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models
Nicolas Lelievre et al.
STRUCTURAL SAFETY (2018)
Robust artificial neural network for reliability and sensitivity analyses of complex non-linear systems
Uchenna Oparaji et al.
NEURAL NETWORKS (2017)
Global sensitivity analysis using support vector regression
Kai Cheng et al.
APPLIED MATHEMATICAL MODELLING (2017)
Use of Adaptive Kriging Metamodeling in Reliability Analysis of Radiated Susceptibility in Coaxial Shielded Cables
Tarek Bdour et al.
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY (2016)
Rare event simulation in finite-infinite dimensional space
Siu-Kui Au et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2016)
Assessing small failure probabilities by AK-SS: An active learning method combining Kriging and Subset Simulation
Xiaoxu Huang et al.
STRUCTURAL SAFETY (2016)
Sequential importance sampling for structural reliability analysis
Iason Papaioannou et al.
STRUCTURAL SAFETY (2016)
A new learning function for Kriging and its applications to solve reliability problems in engineering
Zhaoyan Lv et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2015)
A hybrid algorithm for reliability analysis combining Kriging and subset simulation importance sampling
Cao Tong et al.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2015)
MCMC algorithms for Subset Simulation
Iason Papaioannou et al.
PROBABILISTIC ENGINEERING MECHANICS (2015)
Advanced Line Sampling for efficient robust reliability analysis
Marco de Angelis et al.
STRUCTURAL SAFETY (2015)
An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability
F. Cadini et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2014)
Metamodel-based importance sampling for structural reliability analysis
V. Dubourg et al.
PROBABILISTIC ENGINEERING MECHANICS (2013)
A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models
B. Echard et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2013)
Cross-entropy-based adaptive importance sampling using Gaussian mixture
Nolan Kurtz et al.
STRUCTURAL SAFETY (2013)
An adaptive directional importance sampling method for structural reliability
Frank Grooteman
PROBABILISTIC ENGINEERING MECHANICS (2011)
AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
B. Echard et al.
STRUCTURAL SAFETY (2011)
Reliability-based optimization of stochastic systems using line search
H. A. Jensen et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2009)
Reliability sensitivity method by line sampling
Zhenzhou Lu et al.
STRUCTURAL SAFETY (2008)
Adaptive radial-based importance sampling method for structural reliability
Frank Grooteman
STRUCTURAL SAFETY (2008)
First-order saddlepoint approximation for reliability analysis
XP Du et al.
AIAA JOURNAL (2004)
A new directional simulation method for system reliability. Part I: application of deterministic point sets
JS Nie et al.
PROBABILISTIC ENGINEERING MECHANICS (2004)
Reliability of structures in high dimensions, part I:: algorithms and applications
PS Koutsourelakis et al.
PROBABILISTIC ENGINEERING MECHANICS (2004)
Reliability-based structural optimization using neural networks and Monte Carlo simulation
M Papadrakakis et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2002)
Estimation of small failure probabilities in high dimensions by subset simulation
SK Au et al.
PROBABILISTIC ENGINEERING MECHANICS (2001)