标题
Active learning for structural reliability: Survey, general framework and benchmark
作者
关键词
Structural reliability, Active learning, Surrogate models, Benchmark, Gaussian process (Kriging), Polynomial chaos expansions
出版物
STRUCTURAL SAFETY
Volume -, Issue -, Pages 102174
出版商
Elsevier BV
发表日期
2022-01-16
DOI
10.1016/j.strusafe.2021.102174
参考文献
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。- A sequential sparse polynomial chaos expansion using Bayesian regression for geotechnical reliability estimations
- (2020) Qiujing Pan et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
- Reliability and reliability sensitivity analysis of structure by combining adaptive linked importance sampling and Kriging reliability method
- (2020) Fuchao LIU et al. Chinese Journal of Aeronautics
- Structural reliability analysis via dimension reduction, adaptive sampling, and Monte Carlo simulation
- (2020) Tong Zhou et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Adaptive approaches in metamodel-based reliability analysis: A review
- (2020) Rui Teixeira et al. STRUCTURAL SAFETY
- An active learning reliability method with multiple kernel functions based on radial basis function
- (2019) Lingjian Shi et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis
- (2019) Xufang Zhang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A coupled subset simulation and active learning kriging reliability analysis method for rare failure events
- (2019) Chunyan Ling et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- A Kriging-Based Active Learning Algorithm for Mechanical Reliability Analysis with Time-Consuming and Nonlinear Response
- (2019) Cao Tong et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation
- (2019) Jinhao Zhang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Deep learning for high-dimensional reliability analysis
- (2019) Mingyang Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- AKOIS: An adaptive Kriging oriented importance sampling method for structural system reliability analysis
- (2019) Xufang Zhang et al. STRUCTURAL SAFETY
- Efficient reliability analysis based on adaptive sequential sampling design and cross-validation
- (2018) Ning-Cong Xiao et al. APPLIED MATHEMATICAL MODELLING
- Novel algorithm using Active Metamodel Learning and Importance Sampling: Application to multiple failure regions of low probability
- (2018) Nassim Razaaly et al. JOURNAL OF COMPUTATIONAL PHYSICS
- 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
- A sequential surrogate method for reliability analysis based on radial basis function
- (2018) Xu Li et al. STRUCTURAL SAFETY
- AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models
- (2018) Nicolas Lelièvre et al. STRUCTURAL SAFETY
- An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis
- (2018) Stefano Marelli et al. STRUCTURAL SAFETY
- Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis
- (2018) Ziqi Wang et al. STRUCTURAL SAFETY
- Cross entropy-based importance sampling using Gaussian densities revisited
- (2018) Sebastian Geyer et al. STRUCTURAL SAFETY
- A general failure-pursuing sampling framework for surrogate-based reliability analysis
- (2018) Chen Jiang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A new active learning method based on the learning function U of the AK-MCS reliability analysis method
- (2017) Zheng Peijuan et al. ENGINEERING STRUCTURES
- Two accuracy measures of the Kriging model for structural reliability analysis
- (2017) Wang Jian et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- 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
- A robust and efficient structural reliability method combining radial-based importance sampling and Kriging
- (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
- Bayesian Subset Simulation
- (2017) Julien Bect et al. SIAM-ASA Journal on Uncertainty Quantification
- A Sequential Kriging reliability analysis method with characteristics of adaptive sampling regions and parallelizability
- (2016) Zhixun Wen et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Quantile-based optimization under uncertainties using adaptive Kriging surrogate models
- (2016) Maliki Moustapha et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Surrogate-enhanced stochastic search algorithms to identify implicitly defined functions for reliability analysis
- (2016) V.S. Sundar 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
- Sequential importance sampling for structural reliability analysis
- (2016) Iason Papaioannou 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
- A hybrid algorithm for reliability analysis combining Kriging and subset simulation importance sampling
- (2015) Cao Tong et al. Journal of Mechanical Science and Technology
- Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis
- (2015) Zhen Hu et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Review and application of Artificial Neural Networks models in reliability analysis of steel structures
- (2015) A.A. Chojaczyk et al. STRUCTURAL SAFETY
- An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability
- (2014) F. Cadini et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces
- (2014) Paul G. Constantine et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- 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
- A generalized “max-min” sample for surrogate update
- (2013) Sylvain Lacaze et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Kriging-based adaptive Importance Sampling algorithms for rare event estimation
- (2013) Mathieu Balesdent et al. STRUCTURAL SAFETY
- A new adaptive response surface method for reliability analysis
- (2012) N. Roussouly et al. PROBABILISTIC ENGINEERING MECHANICS
- 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
- Assessing small failure probabilities by combined subset simulation and Support Vector Machines
- (2011) J.-M. Bourinet et al. STRUCTURAL SAFETY
- On the performance of response surface and direct coupling approaches in solution of random crack propagation problems
- (2011) Edson Denner Leonel et al. STRUCTURAL SAFETY
- 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
- Asymptotic sampling for high-dimensional reliability analysis
- (2009) Christian Bucher PROBABILISTIC ENGINEERING MECHANICS
- Sequential Experiment Design for Contour Estimation From Complex Computer Codes
- (2009) Pritam Ranjan et al. TECHNOMETRICS
- Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions
- (2008) B. J. Bichon et al. AIAA JOURNAL
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search