A novel active learning reliability method combining adaptive Kriging and spherical decomposition-MCS (AK-SDMCS) for small failure probabilities
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Title
A novel active learning reliability method combining adaptive Kriging and spherical decomposition-MCS (AK-SDMCS) for small failure probabilities
Authors
Keywords
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Journal
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-07-21
DOI
10.1007/s00158-020-02661-w
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- An explicit method for simulating non-Gaussian and non-stationary stochastic processes by Karhunen-Loève and polynomial chaos expansion
- (2018) Hongzhe Dai et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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- (2018) Kyungeun Lee et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- A general failure-pursuing sampling framework for surrogate-based reliability analysis
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- Two accuracy measures of the Kriging model for structural reliability analysis
- (2017) Wang Jian et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- LIF: A new Kriging based learning function and its application to structural reliability analysis
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- (2017) Bo Xiong et al. Science China-Technological Sciences
- An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation
- (2017) Qiujing Pan et al. STRUCTURAL SAFETY
- A new unbiased metamodel method for efficient reliability analysis
- (2017) Guofeng Xue et al. STRUCTURAL SAFETY
- Cross-entropy-based adaptive importance sampling using von Mises-Fisher mixture for high dimensional reliability analysis
- (2016) Ziqi Wang 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
- A new learning function for Kriging and its applications to solve reliability problems in engineering
- (2015) Zhaoyan Lv et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- A hybrid algorithm for reliability analysis combining Kriging and subset simulation importance sampling
- (2015) Cao Tong et al. Journal of Mechanical Science and Technology
- A multiwavelet support vector regression method for efficient reliability assessment
- (2015) Hongzhe Dai et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Wavelet density-based adaptive importance sampling method
- (2015) Hongzhe Dai et al. STRUCTURAL SAFETY
- A Multiwavelet Neural Network-Based Response Surface Method for Structural Reliability Analysis
- (2014) Hongzhe Dai et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability
- (2014) F. Cadini et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Metamodel-based importance sampling for structural reliability analysis
- (2013) V. Dubourg et al. PROBABILISTIC ENGINEERING MECHANICS
- A support vector density-based importance sampling for reliability assessment
- (2012) Hongzhe Dai et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- 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
- An Improved Kriging-Assisted Multi-Objective Genetic Algorithm
- (2011) Mian Li JOURNAL OF MECHANICAL DESIGN
- AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
- (2011) B. Echard et al. STRUCTURAL SAFETY
- An improved adaptive sampling scheme for the construction of explicit boundaries
- (2010) Anirban Basudhar et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis
- (2009) Géraud Blatman et al. PROBABILISTIC ENGINEERING MECHANICS
- Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions
- (2008) B. J. Bichon et al. AIAA JOURNAL
- Adaptive explicit decision functions for probabilistic design and optimization using support vector machines
- (2008) Anirban Basudhar et al. COMPUTERS & STRUCTURES
- Geometric insight into the challenges of solving high-dimensional reliability problems
- (2008) L.S. Katafygiotis et al. PROBABILISTIC ENGINEERING MECHANICS
- Application of low-discrepancy sampling method in structural reliability analysis
- (2008) Hongzhe Dai et al. STRUCTURAL SAFETY
- Fast kriging of large data sets with Gaussian Markov random fields
- (2007) Linda Hartman et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
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